Metric Definitions (Complete)

BlueScore

What is the BlueScore?

The BlueScore is a composite metric that synthesizes a multitude of data points (which may include multiple factors, sub-factors, metric groups, metric clusters, and associated metrics) that, when combined, seek to assess the overall health of a brand compared with a cohort of competitors.

How is the BlueScore calculated?

BlueOcean computes a proprietary weighted average of the following factors by brand, then compares a brand's total score with the scores of other brands in the cohort:

Awareness: The Awareness factor is a composite metric that assesses whether or not a brand's target audiences know the brand and associate it with its defining attributes.
Distinctiveness: The Distinctiveness factor is a composite metric that assesses whether a brand’s defining attributes are key differentiators from competitors and substitutes.
Consistency: The Consistency factor is a composite metric that assesses whether every interaction with a brand reinforces its defining attributes.
Impact: The Impact factor is a composite metric that assesses whether or not audiences are engaged with the brand’s content and interact with the brand’s business.
Trust: The Trust factor is a composite metric that assesses whether a brand’s defining attributes emotionally touch its target audience.

Data source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
Kantar
SimilarWeb
Google Trends
Diffbot Knowledge Graph
Glassdoor
Web-based brand content (website, blogs)
Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)
Audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.
Business data - A combination of regulatory filings (SEC), market summaries, media sources, and business intelligence tools (ex., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo)

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

A brand's BlueScore is a key indicator of its overall health. It doesn't fluctuate daily but is crucial for long-term assessments. It's ideally used as a quarterly metric to track brand health and is commonly featured in Quarterly Business Reviews by many BlueOcean customers to demonstrate growth over time.For detailed insights into the components of a BlueScore and actionable steps for improvement, please explore individual metric pages, or use BlueOcean Insights to ask direct questions about how you can build an overall marketing strategy based on your BlueScore.

Awareness

What is this factor?

The Awareness factor is a composite metric that synthesizes multiple data points that, when combined, seek to assess whether or not a brand's target audience knows the brand and associates it with its defining attributes.

How is this factor calculated?

BlueOcean computes a proprietary weighted average of the following sub-factors by brand:

Paid Media: The Paid Media sub-factor is a composite metric that assesses a brand’s online (paid search and display advertising spend and paid search traffic) and offline (advertising spend) efforts to determine whether or not its content is prominent in marketing channels where the brand’s target audience traffics.
Owned Media: The Owned Media sub-factor is a composite metric that assesses non-engagement social media (organic social posts and social followers), all-up website traffic, and search (organic search traffic, branded search traffic, non-branded traffic, backlinks - count, referring domains - count, domain authority, and Google Trends Average interest score) to determine the impact of a brand’s organic activities across web and social.

Data source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
Kantar
SimilarWeb
Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)
Google Trends

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework| BlueOcean Basic framework

How is this information valuable to my brand?

Coming soon: Select any metric and let BlueOcean Insights work for you! Our AI, tailored for marketers, is like conversing with one of your best agency strategists or in-house marketing experts, providing essential, actionable insights. BlueOcean Insights is a large language model (LLM) specifically created for marketers to equip you with real-time insights critical to your marketing workflows, transforming data points into actions that drive tangible results. Unlike off-the-shelf LLMs, BlueOcean Insights is continuously trained on a massive dataset of real business questions and answers developed by marketers. The Track analytics platform pairs this uniquely marketer-developed LLM with your always-on BlueOcean data to produce more relevant, faster insights that drive creative action. Until then, you can visit individual metric pages to find out more ways you can action scores to drive impact.

Paid Media

What is this sub-factor?

The Paid Media sub-factor is a composite metric that assesses a brand’s online (paid search and display advertising spend and paid search traffic) and All Media Spend (advertising spend all up) efforts to determine whether or not its content is prominent in marketing channels where the brand’s target audience traffics.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Online Paid Media: The Online Paid Media metric group is a composite metric that measures the impact of a brand’s online paid media efforts.
All Paid Media: The All Paid Media metric group is a composite metric that measures a brand's total estimated expenditure on advertising (eg: TV, out of home, print, ratio, search, mobile display, desktop display etc)

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
Kantar

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Online Paid Media

What is this metric group?

The Online Paid Media metric group measures the impact of a brand’s online paid media efforts.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Spend - Paid Search: The Spend - Paid Search metric estimates a brand's total paid search spend for desktop for a selected timeframe.
Paid Search Traffic: The Paid Search Traffic metric estimates the number of visitors who have visited a brand's site through paid clicks from search engines for the most recent 30 days.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Spend - Paid Search

What is this metric?

The Spend - Paid Search metric estimates a brand's total paid search spend for desktop for a selected timeframe.

How is this metric calculated?

BlueOcean estimates a brand's paid search expenditure for desktop, focusing on traffic originating from the United States at the domain level. This estimate is formulated by aggregating the most recent 30-day estimated traffic cost, calculated based on the average expense to achieve rankings for keywords observed by desktop devices in the United States, specifically for Google AdWords and Bing Ads. This 30-day total is then prorated for a selected timeframe.

Data source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Spend - Paid Search metric is a valuable resource for:

Budget Benchmarking: Understanding what competitors spend on paid search provides a benchmark. If competitors consistently outspend a brand, it might suggest they capture a larger share of the digital ad space, and spending adjustments might be required.
Estimating Market Share & Intent: A significantly higher ad spend by a competitor might indicate aggressive targeting or an attempt to capture a larger market share. Conversely, a spending reduction might signify shifts in strategy or potential areas of opportunity for a brand.
Strategic Allocation: If competitors are heavily investing in paid search, but a user's brand has a stronger organic reach, they might opt to allocate resources differently, perhaps focusing more on content marketing or other organic strategies.
Identifying Market Trends: An overall increase in spending across competitors might indicate growing competition, a larger customer base moving online, or rising keyword costs due to high demand.
Keyword Strategy: While the exact amount won't reveal specific keywords targeted, a sudden increase in a competitor's ad spend might prompt a deeper analysis to identify new keywords or strategies they're pursuing.
Campaign Timing & Seasonality: Recognizing competitors' spending patterns can reveal seasonality insights, allowing brands to optimize campaigns during high-opportunity periods.
Forecasting & Planning: Understanding industry-wide ad spend trends can help forecast and plan future budgets, ensuring brands remain competitive.
Investor & Stakeholder Communication: Demonstrating that a brand's spending is in line with or more efficient than industry competitors can be a positive point in discussions with stakeholders or investors, showcasing strategic financial management.
Tailored Marketing Strategies: For instance, if competitors are significantly outspending a brand in certain geographical regions or demographics, a brand might opt for more niche targeting, leveraging untapped markets or alternative platforms.

Additional considerations where this metric can play a role:

ROI Analysis: By comparing the paid search spend with measurable results (e.g., conversions, leads, traffic), brands can determine the efficiency and effectiveness of their campaigns. Suppose a competitor spends significantly but has less market share or online presence. In that case, it may mean their campaigns are less efficient.
Ad Creative & Format Insights: While spending alone doesn't provide this data, knowing where competitors are investing heavily might lead a brand to analyze the types of ad creatives or formats used to engage users.
Leveraging Negotiation: With platforms or agencies, knowing industry-standard spending levels can be a tool to ensure a brand gets the best possible rates or deals.

Paid Search Traffic

What is this metric?

The Paid Search Traffic metric estimates the number of visitors who have visited a brand's site through paid clicks from search engines for the most recent 30 days.

How is this metric calculated?

The Paid Search Traffic metric estimates a brand's total paid search traffic for desktop for a selected timeframe.

Data source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Paid Search Traffic metric is a valuable resource for:

Competitive Analysis: Comparing paid search traffic with competitors provides insights into how well a brand's PPC efforts stack up in the market. Brands with higher paid search traffic may have a competitive advantage in online visibility.
Keyword Strategy Refinement: Analyzing paid search traffic data reveals the keywords and search terms that drive paid clicks. This information guides brands in refining keyword strategies and optimizing ad campaigns.
Budget Allocation: Insights from paid search traffic data help allocate budget resources effectively to PPC campaigns.
Competitive Insights: Monitoring competitors' paid search traffic can provide insights into their PPC strategies and the success of their ad campaigns.
Seasonal Campaign Planning: Brands can use historical paid search traffic data to plan and optimize advertising campaigns for peak seasons or specific events.

Additional considerations where this metric can play a role:

PPC Campaign Performance: Data on paid search traffic helps the marketing department assess the performance of pay-per-click (PPC) advertising campaigns. It allows them to measure the ROI of ad spend and campaign effectiveness.
Ad Copy Optimization: Data on paid search traffic can help improve ad copy and ad creative by identifying which ads generate the most clicks and conversions.
Conversion Tracking: The marketing department can track the performance of paid campaigns by measuring conversions and goal completions. This helps in evaluating the effectiveness of specific advertising initiatives.
Budget Efficacy: Brands can determine which keywords and campaigns generate the most traffic and conversions.
Ad Campaign Experimentation: Brands can use paid search traffic data to experiment with different ad formats, bidding strategies, and landing page optimizations to improve campaign performance.
Campaign Targeting: Understanding paid search traffic sources and visitor demographics helps refine targeting options to reach the most relevant audience segments.
Ad Spend Efficiency: Paid search traffic data helps brands assess the efficiency of ad spend by measuring click-through rates (CTR), cost per click (CPC), and return on ad spend (ROAS).
Ad Schedule Optimization: Analyzing when paid search traffic is highest can inform ad scheduling decisions to maximize ad exposure during peak traffic hours.
Remarketing Opportunities: Brands can identify remarketing opportunities by analyzing the behavior of paid search traffic visitors and creating targeted ads for specific audience segments.

All Paid Media

What is this metric group?

The All Paid Media metric group assesses a brand's total estimated expenditure on advertising (eg: TV, out of home, print, ratio, search, mobile display, desktop display etc)

How is this metric group calculated?

BlueOcean computes a proprietary calculation of the following metric:

Spend - All Paid Channels: The Spend - All Paid Channels metric assesses a brand's total estimated expenditure on advertising (eg: TV, out of home, print, ratio, search, mobile display, desktop display etc)

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Kantar
Nielsen

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Spend - Offline Channels

What is this metric?

The Spend - Offline Channels metric assesses a brand's total estimated expenditure on advertising (e.g., TV, Out-of-Home (OOH), and Print).

How is this metric calculated?

BlueOcean calculates an estimate of a brand's total advertising expenditure across multiple media types, including Cable TV, FSI Coupon, Local Magazine, Local Newspaper, Local Radio, National Cinema, National Digital (Display, Social, Video), National Magazine, National Newspaper, Network Radio, Network TV, Outdoor, Regional Cinema, Spanish Language Cable TV, Spanish Language Network TV, Spot TV, and Syndicated TV.

Notes:

Source Data completeness fluctuates based on media type and data status - preliminary or finalized. Additional spend data is captured in 6 to 8-week timeframes, leading to corresponding adjustments in BlueOcean brand reporting.
Brands spending less than $10,000 per month typically won't register data with data source provider’s spend thresholds. Similarly, those spending under $25,000 annually are unlikely to register data.

Data source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Kantar

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Spend - Offline Channels metric is a valuable resource for:

Market Positioning: Knowing how much competitors spend on advertising provides insights into a brand's market positioning and aggressiveness.
Competitive Benchmarking: Comparing advertising spending with competitors' spending helps to benchmark a brand's marketing efforts and evaluate whether it is overspending or underspending in relation to the market.
Market Share Analysis: By comparing a brand's advertising spend to competitors, a brand can assess its market share regarding advertising presence. This helps identify opportunities for growth and potential gaps in market coverage.
Budget Allocation: It assists a brand in making informed decisions about budget levels and allocation.
Trend Identification: Tracking competitors' advertising spending over time can reveal spending patterns. This information is valuable for adapting a brand's advertising strategy to meet market changes.
Strategic Insights: Understanding competitors' ad spending might give insights into their strategic priorities (e.g., a surge in ad spend might indicate a new product launch or aggressive customer acquisition).
ROI Assessment: It allows a brand to assess the effectiveness of its advertising spend compared to competitors.
Strategic Planning: The data helps shape a brand's long-term advertising strategy by providing a comprehensive view of the competitive landscape. This can inform decisions about where and how to expand advertising efforts.
Brand Perception: Consistent and sizable advertising spending by competitors may impact market and customer perceptions of brand prominence and reliability. Understanding this enables a brand to position itself and its messaging strategically.

Additional considerations where this metric can play a role:

Budget Optimization: Analyzing ad spend effectiveness helps optimize budget allocation across channels, campaigns, and timeframes.
ROI Optimization: Measuring the return on investment (ROI) from advertising spend aids in understanding which campaigns or channels bring the most value and adjusting future spending accordingly.
Strategy Refinement: Identifying which elements of a brand's advertising strategy are working (or not) allows for the refinement and scaling of successful tactics.
Target Audience Impact: Comparing a brand's advertising spend and its impact (in reach, conversion, etc.) with competitors can offer insights into the efficiency and effectiveness of its advertising strategies targeting specific audience segments.
Opportunity Identification: Brands can gain insights into competitors' advertising strategies and timing to avoid clashes with competitor campaigns or strategically plan campaigns to gain a competitive advantage.
Pricing Strategy: If competitors' advertising spends are significantly higher and maintain comparable pricing, it may indicate higher margins or different revenue models, which could inform a brand's pricing strategy.
Partnership and Collaboration: Identifying patterns in ad spend highlights potential industries or sectors for partnerships or collaborations, as it reveals where brands focus and invest.

Owned Media

What is this sub-factor?

The Owned Media sub-factor is a composite metric that assesses non-engagement social media (Organic Social Posts and Social Followers), all-up Website Traffic, and Search Analytics (Organic Search Traffic - Branded, Organic Search Traffic - Non-Branded, Backlinks - Count, Referring Domains - Count, Domain Authority, and Brand Name Search Prominence) to determine the impact of a brand’s organic activities across web and social.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Organic Social Posts: The Organic Social Posts metric group is a composite metric that measures the number of organic, brand-generated posts on Facebook, Instagram, X, YouTube, and LinkedIn.
Social Followers: The Social Followers metric group is a composite metric that measures a brand's total number of social followers on Facebook, Instagram, X, YouTube, and LinkedIn.
Website Traffic: The Website Traffic metric group is a composite metric that estimates the total number of U.S.-originating visits (including direct, organic, and paid search traffic) to a brand's website.
Search Analytics: The Search Analytics metric group is a composite metric that assesses the impact of a brand’s efforts to optimize organic search activities.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)
Semrush
SimilarWeb
Google Trends

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Organic Social Posts

What is this metric group?

The Organic Social Posts metric group measures the number of organic, brand-generated posts on Facebook, Instagram, X, YouTube, and LinkedIn.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Posts - Count: The Facebook Posts - Count metric measures the number of organic, brand-generated posts on Facebook.
Instagram Posts - Count: The Instagram Posts - Count metric measures the number of organic, brand-generated posts on Instagram.
X Posts - Count: The X Posts - Count metric measures the number of organic, brand-generated posts on X.
YouTube Posts - Count: The YouTube Posts - Count metric measures the number of organic, brand-generated posts on YouTube.
LinkedIn Posts - Count: The LinkedIn Posts - Count metric measures the number of organic, brand-generated posts on LinkedIn.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Facebook Posts - Count

What is this metric?

The Facebook Posts - Count metric measures the number of organic, brand-generated posts on Facebook.

How is this metric calculated?

BlueOcean aggregates the total number of brand-generated organic social posts on Facebook.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Facebook Posts - Count metric is a valuable resource for:

Content Strategy: Brand Posts can help brands assess the frequency and consistency of content sharing. It provides insights into how often the brand and competitors engage with their audience on social media platforms.
Competitive Analysis: Comparing Brand Posts with competitors allows brands to understand their relative presence and activity on social media. Brands with higher post volumes may have a competitive advantage in terms of audience engagement.
Audience Engagement: Brand Posts are often correlated with audience engagement. A higher post volume can lead to more audience interactions, likes, shares, and comments. Brands can use this data to gauge the effectiveness of their content in driving engagement.
Trend Analysis: Brand Post data over time can reveal trends in content sharing and audience response. Brands can use this information to adapt their content strategy to evolving audience preferences.
Campaign Tracking: Brand Posts can be used to track the activity and impact of specific marketing campaigns or promotions on social media. Brands can evaluate which campaigns generated the most engagement and adjust future strategies accordingly.
Resource Allocation: Understanding post volume helps brands allocate resources effectively. Brands can determine how much time and effort to dedicate to social media content creation and management.
Social Media Calendar Planning: Brand Post data can inform the development of a social media content calendar. It helps in scheduling posts strategically to maintain a consistent online presence.
Benchmarking: Monitoring post volume over time allows brands to benchmark their social media activity against competitors and industry standards. This benchmarking helps in setting goals and targets for social media performance.
Audience Insights: Brand Posts can provide insights into audience behavior and preferences. The marketing department can tailor content to better align with audience interests.
Crisis Management: A sudden post-volume or engagement change can indicate issues or crises. The marketing department can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Content Quality: Analyzing Brand Posts alongside engagement metrics can help brands assess the quality and relevance of their content. It allows them to identify which types of posts resonate most with the audience.
Influencer Collaboration: Brands can identify opportunities for influencer collaborations by analyzing post volume and identifying potential influencers who align with their content strategy.

Instagram Posts - Count

What is this metric?

The Instagram Posts - Count metric measures the number of organic, brand-generated posts on Instagram.

How is this metric calculated?

BlueOcean aggregates the total number of brand-generated organic social posts on Instagram.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Instagram native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Instagram Posts - Count metric is a valuable resource for:

Content Strategy: Brand Posts can help brands assess the frequency and consistency of content sharing. It provides insights into how often the brand and competitors engage with their audience on social media platforms.
Competitive Analysis: Comparing Brand Posts with competitors allows brands to understand their relative presence and activity on social media. Brands with higher post volumes may have a competitive advantage in terms of audience engagement.
Audience Engagement: Brand Posts are often correlated with audience engagement. A higher post volume can lead to more audience interactions, likes, shares, and comments. Brands can use this data to gauge the effectiveness of their content in driving engagement.
Trend Analysis: Brand Post data over time can reveal trends in content sharing and audience response. Brands can use this information to adapt their content strategy to evolving audience preferences.
Campaign Tracking: Brand Posts can be used to track the activity and impact of specific marketing campaigns or promotions on social media. Brands can evaluate which campaigns generated the most engagement and adjust future strategies accordingly.
Resource Allocation: Understanding post volume helps brands allocate resources effectively. Brands can determine how much time and effort to dedicate to social media content creation and management.
Social Media Calendar Planning: Brand Post data can inform the development of a social media content calendar. It helps in scheduling posts strategically to maintain a consistent online presence.
Benchmarking: Monitoring post volume over time allows brands to benchmark their social media activity against competitors and industry standards. This benchmarking helps in setting goals and targets for social media performance.
Audience Insights: Brand Posts can provide insights into audience behavior and preferences. The marketing department can tailor content to better align with audience interests.
Crisis Management: A sudden post-volume or engagement change can indicate issues or crises. The marketing department can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Content Quality: Analyzing Brand Posts alongside engagement metrics can help brands assess the quality and relevance of their content. It allows them to identify which types of posts resonate most with the audience.
Influencer Collaboration: Brands can identify opportunities for influencer collaborations by analyzing post volume and identifying potential influencers who align with their content strategy.

X Posts - Count

What is this metric?

The X Posts - Count metric measures the number of organic, brand-generated posts on X.

How is this metric calculated?

BlueOcean aggregates the total number of brand-generated organic social posts on X.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The X Posts - Count metric is a valuable resource for:

Content Strategy: Brand Posts can help brands assess the frequency and consistency of content sharing. It provides insights into how often the brand and competitors engage with their audience on social media platforms.
Competitive Analysis: Comparing Brand Posts with competitors allows brands to understand their relative presence and activity on social media. Brands with higher post volumes may have a competitive advantage in terms of audience engagement.
Audience Engagement: Brand Posts are often correlated with audience engagement. A higher post volume can lead to more audience interactions, likes, shares, and comments. Brands can use this data to gauge the effectiveness of their content in driving engagement.
Trend Analysis: Brand Post data over time can reveal trends in content sharing and audience response. Brands can use this information to adapt their content strategy to evolving audience preferences.
Campaign Tracking: Brand Posts can be used to track the activity and impact of specific marketing campaigns or promotions on social media. Brands can evaluate which campaigns generated the most engagement and adjust future strategies accordingly.
Resource Allocation: Understanding post volume helps brands allocate resources effectively. Brands can determine how much time and effort to dedicate to social media content creation and management.
Social Media Calendar Planning: Brand Post data can inform the development of a social media content calendar. It helps in scheduling posts strategically to maintain a consistent online presence.
Benchmarking: Monitoring post volume over time allows brands to benchmark their social media activity against competitors and industry standards. This benchmarking helps in setting goals and targets for social media performance.
Audience Insights: Brand Posts can provide insights into audience behavior and preferences. The marketing department can tailor content to better align with audience interests.
Crisis Management: A sudden post-volume or engagement change can indicate issues or crises. The marketing department can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Content Quality: Analyzing Brand Posts alongside engagement metrics can help brands assess the quality and relevance of their content. It allows them to identify which types of posts resonate most with the audience.
Influencer Collaboration: Brands can identify opportunities for influencer collaborations by analyzing post volume and identifying potential influencers who align with their content strategy.

YouTube Posts - Count

What is this metric?

The YouTube Posts - Count metric measures the number of organic, brand-generated posts on YouTube.

How is this metric calculated?

BlueOcean aggregates the total number of brand-generated organic social posts on YouTube.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

YouTube native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The YouTube Posts - Count metric is a valuable resource for:

Content Strategy: Brand Posts can help brands assess the frequency and consistency of content sharing. It provides insights into how often the brand and competitors engage with their audience on social media platforms.
Competitive Analysis: Comparing Brand Posts with competitors allows brands to understand their relative presence and activity on social media. Brands with higher post volumes may have a competitive advantage in terms of audience engagement.
Audience Engagement: Brand Posts are often correlated with audience engagement. A higher post volume can lead to more audience interactions, likes, shares, and comments. Brands can use this data to gauge the effectiveness of their content in driving engagement.
Trend Analysis: Brand Post data over time can reveal trends in content sharing and audience response. Brands can use this information to adapt their content strategy to evolving audience preferences.
Campaign Tracking: Brand Posts can be used to track the activity and impact of specific marketing campaigns or promotions on social media. Brands can evaluate which campaigns generated the most engagement and adjust future strategies accordingly.
Resource Allocation: Understanding post volume helps brands allocate resources effectively. Brands can determine how much time and effort to dedicate to social media content creation and management.
Social Media Calendar Planning: Brand Post data can inform the development of a social media content calendar. It helps in scheduling posts strategically to maintain a consistent online presence.
Benchmarking: Monitoring post volume over time allows brands to benchmark their social media activity against competitors and industry standards. This benchmarking helps in setting goals and targets for social media performance.
Audience Insights: Brand Posts can provide insights into audience behavior and preferences. The marketing department can tailor content to better align with audience interests.
Crisis Management: A sudden post-volume or engagement change can indicate issues or crises. The marketing department can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Content Quality: Analyzing Brand Posts alongside engagement metrics can help brands assess the quality and relevance of their content. It allows them to identify which types of posts resonate most with the audience.
Influencer Collaboration: Brands can identify opportunities for influencer collaborations by analyzing post volume and identifying potential influencers who align with their content strategy.

LinkedIn Posts - Count

What is this metric?

The LinkedIn Posts - Count metric measures the number of organic, brand-generated posts on LinkedIn.

How is this metric calculated?

BlueOcean manually aggregates brand-generated organic social posts from the first page of a brand’s LinkedIn profile on a weekly basis.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

LinkedIn web-based social media metrics

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The LinkedIn Posts - Count metric is a valuable resource for:

Content Strategy: Brand Posts can help brands assess the frequency and consistency of content sharing. It provides insights into how often the brand and competitors engage with their audience on social media platforms.
Competitive Analysis: Comparing Brand Posts with competitors allows brands to understand their relative presence and activity on social media. Brands with higher post volumes may have a competitive advantage in terms of audience engagement.
Audience Engagement: Brand Posts are often correlated with audience engagement. A higher post volume can lead to more audience interactions, likes, shares, and comments. Brands can use this data to gauge the effectiveness of their content in driving engagement.
Trend Analysis: Brand Post data over time can reveal trends in content sharing and audience response. Brands can use this information to adapt their content strategy to evolving audience preferences.
Campaign Tracking: Brand Posts can be used to track the activity and impact of specific marketing campaigns or promotions on social media. Brands can evaluate which campaigns generated the most engagement and adjust future strategies accordingly.
Resource Allocation: Understanding post volume helps brands allocate resources effectively. Brands can determine how much time and effort to dedicate to social media content creation and management.
Social Media Calendar Planning: Brand Post data can inform the development of a social media content calendar. It helps in scheduling posts strategically to maintain a consistent online presence.
Benchmarking: Monitoring post volume over time allows brands to benchmark their social media activity against competitors and industry standards. This benchmarking helps in setting goals and targets for social media performance.
Audience Insights: Brand Posts can provide insights into audience behavior and preferences. The marketing department can tailor content to better align with audience interests.
Crisis Management: A sudden post-volume or engagement change can indicate issues or crises. The marketing department can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Content Quality: Analyzing Brand Posts alongside engagement metrics can help brands assess the quality and relevance of their content. It allows them to identify which types of posts resonate most with the audience.
Influencer Collaboration: Brands can identify opportunities for influencer collaborations by analyzing post volume and identifying potential influencers who align with their content strategy.

Social Followers

What is this metric group?

The Social Followers metric group is a composite metric that assesses a brand's total number of social followers across Facebook, Instagram, X, YouTube, and LinkedIn.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Followers: The Facebook Followers metric measures a brand's total number of social followers on Facebook.
Instagram Followers: The Instagram Followers metric measures a brand's total number of social followers on Instagram.
X Followers: The X Followers metric measures a brand's total number of social followers on X.
YouTube Followers: The YouTube Followers metric measures a brand's total number of social followers on YouTube.
LinkedIn Followers: The LinkedIn Followers metric measures a brand's total number of social followers on LinkedIn.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Facebook Followers

What is this metric?

The Facebook Followers metric measures a brand's total number of social followers on Facebook.

How is this metric calculated?

BlueOcean aggregates the total number of social followers on Facebook.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How can I use this information to my advantage?

The Facebook Followers metric is a valuable resource for:

Audience Size and Reach: The number of social media followers directly reflects a brand's reach on social platforms. It indicates the potential audience size that can be reached through social media marketing efforts.
Competitive Benchmarking: Comparing follower counts with competitors allows brands to assess how their social media presence stacks up. It helps identify areas of strength and areas where improvements may be needed.
Brand Visibility: A larger follower count indicates higher brand visibility on social media platforms. Brands can use this data to understand how well they attract and retain social media users' attention.
Content Strategy: Brands can tailor their content strategy based on the platforms and content types that resonate with the largest portion of the social media audience. This helps in optimizing content for maximum engagement.
Campaign Effectiveness: Brands can track the impact of social media campaigns and promotions by monitoring changes in follower counts before, during, and after campaigns. A boost in followers can indicate campaign success.
Content Promotion: Brands can promote content to a larger audience by leveraging their follower base. A larger follower count means a broader reach for sharing and promoting branded content.
Long-Term Strategy: Monitoring follower counts over time helps assess a brand's long-term growth and retention of social media audiences. It supports the development of sustainable social media strategies.
Brand Loyalty: A growing and engaged social media following can indicate strong brand loyalty. Brands can use this data to implement customer loyalty programs and initiatives.
Crisis Management: Rapid changes in follower counts can be an early indicator of issues or crises. Brands can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Audience Engagement: While follower count is important, it is also essential to track engagement metrics, such as likes, comments, shares, and clicks. Brands can use follower count alongside engagement metrics to assess the quality of the audience and the effectiveness of content in driving interactions.
Customer Insights: Social media followers' demographic and geographic distribution can provide valuable insights into the brand's audience. This data can be used for audience segmentation and targeting.
Influencer Collaboration: High follower counts on social media platforms can indicate potential influencers or partners for collaborations. Brands can identify individuals or accounts that align with their target audience.

Instagram Followers

What is this metric?

The Instagram Followers metric group measures a brand's total number of social followers on Instagram.

How is this metric calculated?

BlueOcean aggregates the total number of social followers on Instagram.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Instagram native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How can I use this information to my advantage?

The Instagram Followers metric is a valuable resource for:

Audience Size and Reach: The number of social media followers directly reflects a brand's reach on social platforms. It indicates the potential audience size that can be reached through social media marketing efforts.
Competitive Benchmarking: Comparing follower counts with competitors allows brands to assess how their social media presence stacks up. It helps identify areas of strength and areas where improvements may be needed.
Brand Visibility: A larger follower count indicates higher brand visibility on social media platforms. Brands can use this data to understand how well they attract and retain social media users' attention.
Content Strategy: Brands can tailor their content strategy based on the platforms and content types that resonate with the largest portion of the social media audience. This helps in optimizing content for maximum engagement.
Campaign Effectiveness: Brands can track the impact of social media campaigns and promotions by monitoring changes in follower counts before, during, and after campaigns. A boost in followers can indicate campaign success.
Content Promotion: Brands can promote content to a larger audience by leveraging their follower base. A larger follower count means a broader reach for sharing and promoting branded content.
Long-Term Strategy: Monitoring follower counts over time helps assess a brand's long-term growth and retention of social media audiences. It supports the development of sustainable social media strategies.
Brand Loyalty: A growing and engaged social media following can indicate strong brand loyalty. Brands can use this data to implement customer loyalty programs and initiatives.
Crisis Management: Rapid changes in follower counts can be an early indicator of issues or crises. Brands can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Audience Engagement: While follower count is important, it is also essential to track engagement metrics, such as likes, comments, shares, and clicks. Brands can use follower count alongside engagement metrics to assess the quality of the audience and the effectiveness of content in driving interactions.
Customer Insights: Social media followers' demographic and geographic distribution can provide valuable insights into the brand's audience. This data can be used for audience segmentation and targeting.
Influencer Collaboration: High follower counts on social media platforms can indicate potential influencers or partners for collaborations. Brands can identify individuals or accounts that align with their target audience.

X Followers

What is this metric?

The X Followers metric group measures a brand's total number of social followers on X.

How is this metric calculated?

BlueOcean aggregates the total number of social followers on X.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How can I use this information to my advantage?

The X Followers metric is a valuable resource for:

Audience Size and Reach: The number of social media followers directly reflects a brand's reach on social platforms. It indicates the potential audience size that can be reached through social media marketing efforts.
Competitive Benchmarking: Comparing follower counts with competitors allows brands to assess how their social media presence stacks up. It helps identify areas of strength and areas where improvements may be needed.
Brand Visibility: A larger follower count indicates higher brand visibility on social media platforms. Brands can use this data to understand how well they attract and retain social media users' attention.
Content Strategy: Brands can tailor their content strategy based on the platforms and content types that resonate with the largest portion of the social media audience. This helps in optimizing content for maximum engagement.
Campaign Effectiveness: Brands can track the impact of social media campaigns and promotions by monitoring changes in follower counts before, during, and after campaigns. A boost in followers can indicate campaign success.
Content Promotion: Brands can promote content to a larger audience by leveraging their follower base. A larger follower count means a broader reach for sharing and promoting branded content.
Long-Term Strategy: Monitoring follower counts over time helps assess a brand's long-term growth and retention of social media audiences. It supports the development of sustainable social media strategies.
Brand Loyalty: A growing and engaged social media following can indicate strong brand loyalty. Brands can use this data to implement customer loyalty programs and initiatives.
Crisis Management: Rapid changes in follower counts can be an early indicator of issues or crises. Brands can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Audience Engagement: While follower count is important, it is also essential to track engagement metrics, such as likes, comments, shares, and clicks. Brands can use follower count alongside engagement metrics to assess the quality of the audience and the effectiveness of content in driving interactions.
Customer Insights: Social media followers' demographic and geographic distribution can provide valuable insights into the brand's audience. This data can be used for audience segmentation and targeting.
Influencer Collaboration: High follower counts on social media platforms can indicate potential influencers or partners for collaborations. Brands can identify individuals or accounts that align with their target audience.

YouTube Followers

What is this metric?

The YouTube Followers metric group measures a brand's total number of social followers on YouTube.

How is this metric calculated?

BlueOcean aggregates the total number of social followers on YouTube.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

YouTube native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How can I use this information to my advantage?

The YouTube Followers metric is a valuable resource for:

Audience Size and Reach: The number of social media followers directly reflects a brand's reach on social platforms. It indicates the potential audience size that can be reached through social media marketing efforts.
Competitive Benchmarking: Comparing follower counts with competitors allows brands to assess how their social media presence stacks up. It helps identify areas of strength and areas where improvements may be needed.
Brand Visibility: A larger follower count indicates higher brand visibility on social media platforms. Brands can use this data to understand how well they attract and retain social media users' attention.
Content Strategy: Brands can tailor their content strategy based on the platforms and content types that resonate with the largest portion of the social media audience. This helps in optimizing content for maximum engagement.
Campaign Effectiveness: Brands can track the impact of social media campaigns and promotions by monitoring changes in follower counts before, during, and after campaigns. A boost in followers can indicate campaign success.
Content Promotion: Brands can promote content to a larger audience by leveraging their follower base. A larger follower count means a broader reach for sharing and promoting branded content.
Long-Term Strategy: Monitoring follower counts over time helps assess a brand's long-term growth and retention of social media audiences. It supports the development of sustainable social media strategies.
Brand Loyalty: A growing and engaged social media following can indicate strong brand loyalty. Brands can use this data to implement customer loyalty programs and initiatives.
Crisis Management: Rapid changes in follower counts can be an early indicator of issues or crises. Brands can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Audience Engagement: While follower count is important, it is also essential to track engagement metrics, such as likes, comments, shares, and clicks. Brands can use follower count alongside engagement metrics to assess the quality of the audience and the effectiveness of content in driving interactions.
Customer Insights: Social media followers' demographic and geographic distribution can provide valuable insights into the brand's audience. This data can be used for audience segmentation and targeting.
Influencer Collaboration: High follower counts on social media platforms can indicate potential influencers or partners for collaborations. Brands can identify individuals or accounts that align with their target audience.

LinkedIn Followers

What is this metric?

The LinkedIn Followers metric group measures a brand's total number of social followers on LinkedIn.

How is this metric calculated?

BlueOcean aggregates the total number of social followers on LinkedIn.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

LinkedIn web-based social media metrics

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How can I use this information to my advantage?

The LinkedIn Followers metric is a valuable resource for:

Audience Size and Reach: The number of social media followers directly reflects a brand's reach on social platforms. It indicates the potential audience size that can be reached through social media marketing efforts.
Competitive Benchmarking: Comparing follower counts with competitors allows brands to assess how their social media presence stacks up. It helps identify areas of strength and areas where improvements may be needed.
Brand Visibility: A larger follower count indicates higher brand visibility on social media platforms. Brands can use this data to understand how well they attract and retain social media users' attention.
Content Strategy: Brands can tailor their content strategy based on the platforms and content types that resonate with the largest portion of the social media audience. This helps in optimizing content for maximum engagement.
Campaign Effectiveness: Brands can track the impact of social media campaigns and promotions by monitoring changes in follower counts before, during, and after campaigns. A boost in followers can indicate campaign success.
Content Promotion: Brands can promote content to a larger audience by leveraging their follower base. A larger follower count means a broader reach for sharing and promoting branded content.
Long-Term Strategy: Monitoring follower counts over time helps assess a brand's long-term growth and retention of social media audiences. It supports the development of sustainable social media strategies.
Brand Loyalty: A growing and engaged social media following can indicate strong brand loyalty. Brands can use this data to implement customer loyalty programs and initiatives.
Crisis Management: Rapid changes in follower counts can be an early indicator of issues or crises. Brands can use this data for early detection and crisis management.

Additional considerations where this metric can play a role:

Audience Engagement: While follower count is important, it is also essential to track engagement metrics, such as likes, comments, shares, and clicks. Brands can use follower count alongside engagement metrics to assess the quality of the audience and the effectiveness of content in driving interactions.
Customer Insights: Social media followers' demographic and geographic distribution can provide valuable insights into the brand's audience. This data can be used for audience segmentation and targeting.
Influencer Collaboration: High follower counts on social media platforms can indicate potential influencers or partners for collaborations. Brands can identify individuals or accounts that align with their target audience.

Website Traffic

What is this metric group?

The Website Traffic metric group estimates the total number of U.S.-originating visits (including direct, organic, and paid search traffic) to a brand's website.

How is this metric group calculated?

BlueOcean computes a proprietary calculation of the following metric:

Website Traffic: The Website Traffic metric estimates the total number of U.S.-originating visits (including direct, organic, and paid search traffic) to a brand's website.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Website Traffic

What is this metric?

The Website Traffic metric is an estimated number of total U.S. originating visits (including direct, organic, and paid search traffic) to a brand's website.

How is this metric calculated?

BlueOcean computes a total* website traffic value by aggregating the Semrush and SimilarWeb web traffic counts provided for an entire domain or specific subdomains (where available).

*Note: Total includes US-originating visits only

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Website Traffic metric is a valuable resource for:

Performance Assessment: Overall website traffic provides a vital indicator of a brand's online presence and performance. A brand can assess how effectively the website is attracting visitors.
Competitive Analysis: Comparing website traffic with competitors helps a brand understand its relative position in the market. Brands with higher website traffic may have a competitive advantage regarding online visibility.
Audience Insights: Analyzing website traffic data provides insights into visitors' behavior and preferences. Brands can gain a better understanding of their target audience and their interests.
Content Strategy: Website traffic data can inform content strategy development. Brands can identify which types of content attract the most visitors and adjust their content marketing efforts accordingly.
Conversion Optimization: Understanding website traffic helps a brand identify conversion optimization opportunities. Brands can focus on improving user engagement and increasing conversion rates.
Campaign Effectiveness: Brands can assess the effectiveness of various marketing campaigns by monitoring changes in website traffic before, during, and after campaigns, helping to measure ROI and campaign success.
Budget Allocation: Insights from website traffic data can inform budget allocation decisions. Brands can allocate resources effectively to channels that drive the most traffic and conversions.
Market Trends: Changes in website traffic patterns can signal emerging market trends and customer interests. The marketing department can use this data to adapt strategies to evolving market dynamics.
Social Media and Content Promotion: Brands can use website traffic data to assess the effectiveness of social media and content promotion efforts. This helps identify which platforms and content types drive the most traffic.
Ad Campaign Optimization: Monitoring website traffic allows brands to optimize ad spend and targeting strategies to attract high-quality traffic for paid advertising campaigns.

Additional considerations where this metric can play a role:

Keyword Analysis: Brands can analyze the keywords and search terms that drive website traffic. This information helps refine SEO strategies and content optimization efforts.
User Experience: High website traffic can strain server resources and affect performance. Brands can use traffic data to optimize the user experience and ensure website stability.
Site Maintenance: Monitoring traffic helps identify potential issues, such as slow loading times or broken links, that can negatively impact the user experience. Brands can take proactive measures for site maintenance.
Site Changes: Changes in website traffic can indicate that a competitor has updated website graphics or layouts. Positive swings can be good learning opportunities to see what’s working for competitors, while negative swings can be an opportunity signal to respond to a competitor's weakness.

Search Analytics

What is this metric group?

The Search Analytics metric group is a composite metric that assesses the impact of a brand’s efforts to optimize organic search activities.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Organic Search Traffic - Branded: The Organic Search Traffic - Branded metric measures the estimated number of visitors that have visited a brand's site because the visitor intentionally searched for the brand name.
Organic Search Traffic - Non-Branded: The Organic Search Traffic - Non-Branded metric measures the estimated number of visitors who have visited a brand's website using search terms that do not contain the brand's name.
Brand Name Search Prominence: The Brand Name Search Prominence metric assesses a brand's indexed Google Trends prominence (i.e., how easily and prominently a brand's name appears in search engine results when customers search for it directly).
Domain Authority (DA): The Domain Authority (DA) metric is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs).
Backlinks - Count: The Backlinks - Count metric measures the number of incoming hyperlinks to a brand's website.
Referring Domains - Count: The Referring Domains - Count metric measures the number of referring domains that link to a specific brand's domain.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
Google Trends

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Organic Search Traffic - Branded

What is this metric?

The Organic Search Traffic - Branded metric measures the estimated number of visitors who have visited a brand's site because they intentionally searched for the brand name.

How is this metric calculated?

BlueOcean computes a total search value by summing the number of organic visits. Next, a percentage representing the estimate of branded search is applied to the total organic search figure.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How can I use this information to my advantage?

The Organic Search Traffic - Branded metric is a valuable resource for:

Brand Visibility: Branded search traffic provides insights into how well a brand is recognized and searched for by its target audience. It indicates the level of brand awareness and visibility in the market.
Brand Reputation: Monitoring branded search traffic helps assess a brand's reputation and how customers perceive it. An increase in branded searches can be an indicator of positive brand sentiment.
Competitive Analysis: Comparing branded search traffic with competitors allows a brand to understand how the brand's recognition and reputation stack up in the market. It helps identify areas of strength and opportunities for improvement.
Campaign Effectiveness: Brands can assess the effectiveness of branding and advertising campaigns by monitoring changes in branded search traffic before, during, and after campaigns. A spike in branded searches can indicate campaign success.
Customer Behavior Insights: Understanding how customers search for a brand can provide insights into their behavior and preferences, allowing brands to tailor marketing messages and campaigns to better resonate with the target audience.
Conversion Optimization: Branded search traffic often includes highly engaged visitors already familiar with a brand. Brands can optimize these visitors' conversion process to maximize sales or lead generation.
Budget Allocation: Insights from branded search traffic can inform budget allocation decisions. If branded searches are a significant source of traffic and conversions, the brand may allocate more resources to brand-building activities.
Competitive Positioning: Monitoring competitors' branded search traffic can help brands assess the strength of their brand in the market and identify potential areas of opportunity or threat.
Ad Campaign Optimization: For paid advertising campaigns, knowing the volume of branded searches can help brands optimize ad spend and bidding strategies for brand-related keywords.
Customer Retention: Branded search traffic often includes repeat customers. Brands can leverage this data to implement customer retention strategies and maintain strong relationships with existing customers.
Market Expansion: Changes in branded search traffic patterns can signal opportunities to expand into new markets or demographics, which is helpful when exploring growth strategies.

Additional considerations where this metric can play a role:

Keyword Strategy: Analysis of branded search traffic can reveal keywords and phrases that customers use when searching for a brand. This information can be used to refine keyword strategies for paid search advertising and SEO.

Organic Search Traffic - Non-Branded

What is this metric?

The Organic Search Traffic - Non-Branded metric measures the estimated number of visitors who have visited a brand's website using search terms that do not contain the brand's name.

How is this metric calculated?

BlueOcean computes a total search value by summing the number of organic visits. Next, a percentage representing the estimate of branded search is applied to the total organic search figure. Non-branded search is then estimated as total search minus branded search.

Data source(s): BlueOcean Proprietary Model utilizing data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Organic Search Traffic - Non-Branded metric is a valuable resource for:

SEO Performance Assessment: Non-branded search traffic provides insights into how well a brand and its competitors perform in search engine optimization (SEO). Brands can assess the effectiveness of their SEO strategies in attracting users who are not specifically searching for their brand name.
Market Visibility: Non-branded search traffic indicates a brand's visibility in search engine results for generic or industry-related terms. Brands can use this data to evaluate their presence in the market and identify opportunities to increase visibility.
Competitive Analysis: Comparing non-branded search traffic with competitors helps brands understand their relative position in organic search results. Brands with higher non-branded search traffic may have a competitive advantage regarding online visibility.
Content Promotion: Brands can promote content that aligns with the keywords driving non-branded traffic, increasing the likelihood of attracting organic visitors.
Long-Term Strategy: Non-branded search traffic data can inform the brand's long-term strategic planning, helping it stay aligned with evolving customer search behavior.
Market Expansion: Changes in non-branded search traffic patterns can signal opportunities to expand into new markets or demographics, which is helpful when exploring growth strategies.

Additional considerations where this metric can play a role:

Content Strategy: Non-branded search traffic can reveal the types of content and topics that attract organic traffic. Brands can use this data to inform their content strategy and create content that resonates with a broader audience.
Keyword Analysis: Brands can analyze the keywords and search terms that drive non-branded traffic. This information helps in identifying relevant keywords to target and optimizing content for SEO.
Conversion Optimization: Understanding non-branded search traffic can help brands optimize their website and content to convert organic visitors into customers or leads.
User Behavior Analysis: Brands can analyze the behavior of non-branded search traffic, such as page views, bounce rates, and conversion rates, to gain insights into user preferences and needs.
Market Trends / Expansion: Non-branded search traffic data can reveal emerging market trends and customer interests, which brands can capitalize upon.
Ad Campaign Optimization: Non-branded search traffic can inform paid advertising campaigns. Brands can target keywords that are driving organic traffic to enhance the effectiveness of paid campaigns.

Brand Name Search Prominence

What is this metric?

The Brand Name Search Prominence metric assesses a brand's indexed Google Trends prominence (i.e., how easily and prominently a brand's name appears in search engine results when customers search for it directly) relative to its competitors.

How is this metric calculated?

BlueOcean derives a Brand Name Search Prominence score (i.e. a Google Trends Average Interest Score) for every brand in the cohort by comparing each brand to a series of known reference brands, then, based on those comparisons, ranks each brand based on the BlueOcean proprietary scale.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Google Trends

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Brand Name Search Prominence metric is a valuable resource for:

Brand Awareness: A higher score indicates greater brand awareness. If more people search for a brand's name than competitors, it's a sign that a brand's awareness campaigns, PR efforts, or other marketing initiatives are working effectively.
Effectiveness of Marketing Campaigns: An increase in this score following a significant marketing campaign can indicate the campaign's success in driving interest or awareness.
Customer Intent: People searching specifically for a brand name often have a higher intent to purchase or engage than generic keyword searches. High scores can translate to higher conversions and customer loyalty.
Competitive Analysis: Comparing a brand's Google Trends Interest Score to competitors gives insights into the competitive landscape. Suppose a competitor's brand name sees a sudden rise in its score. In that case, it might indicate successful marketing campaigns, new product launches, or other notable events to be aware of.
Loyalty and Retention Assessment: If returning customers often search for a brand's name instead of directly visiting their site, it might indicate strong brand loyalty. Conversely, a decline in brand name search prominence might suggest issues with customer retention.
Market Positioning: High search prominence for a brand's name compared to competitors can be a selling point when working with potential partners, advertisers, or investors. It showcases a brand's strong market presence.
Identify Market Gaps: If there are low-interest scores for a brand and high prominence for its competitors, it can help identify gaps in marketing strategies, prompting a need for campaigns or initiatives that boost brand visibility and recognition.

Additional considerations where this metric can play a role:

Optimize Paid Campaigns: If a brand's name has high search prominence, but competitors are running ads against that brand's keywords, the brand might need to invest in defensive PPC (Pay-Per-Click) strategies to ensure that potential customers aren't diverted.
SEO and Content Strategies: Understanding the terms or questions people use in association with brand name searches can help refine SEO strategies and create content that addresses those queries.

Domain Authority

What is this metric?

The Domain Authority (DA) metric is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs).

How is this metric calculated?

BlueOcean determines a proprietary calculation based on source data which identifies a domain authority score for a given brand.

Notes:

Semrush's domain authority score is a comprehensive domain score that evaluates the overall quality of a webpage or website. A higher score suggests that backlinks to a domain or web page carry more significance. The score encompasses several factors: referring domains, outgoing and incoming links, outbound links from referring domains, total backlinks, referring IPs, and referring subnets.
BlueOcean re-calculates its ranking weekly. However, noticeable updates reflecting changes only occur when Semrush data is updated monthly.

Data source(s): BlueOcean Proprietary Model utilizing data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Domain Authority metric is a valuable resource for:

Search Engine Visibility: A higher DA means that a brand will likely have better visibility on search engines. Comparing a brand's DA with competitors' gives insight into a brand's relative visibility and organic reach.
Competitive Analysis: Understanding competitors' DA can help in analyzing the competitive landscape. If competitors have higher DA, they might be doing something right regarding SEO, content, backlink strategies, etc., that a brand can learn from.
SEO Benchmarking & Strategy: DA is a quick reference point to gauge a brand's search engine optimization (SEO) strength compared to competitors. Suppose a brand has a lower DA compared to competitors. In that case, it may signal the need to revise and strengthen its SEO strategy, focusing on building quality backlinks, creating valuable content, and improving the overall user experience of its website.
Partnership & Collaboration Opportunities: Brands with high DA are often seen as industry leaders or authorities. Knowing where a brand stands can better position itself for potential partnerships, guest blogging opportunities, influencer marketing opportunities, or collaborations.
Credibility & Trust: A higher DA can be perceived as a sign of credibility and trustworthiness in the industry. If your brand's DA is higher than competitors, it's a positive signal that could be leveraged in marketing communications.
Performance Measurement: Tracking changes in DA over time can help measure the success of SEO and content marketing initiatives. If a brand is implementing new strategies, a rise in DA can be an indicator of success.
Resource & Budget Allocation: Understanding where a brand stands compared to competitors in terms of DA can help make informed decisions about allocating resources. If DA is significantly lower, investing more resources in SEO efforts (e.g., technical optimization or link-building campaigns) and content marketing might be worthwhile.
Pitching for Collaborations/PR: A higher DA is attractive for collaborations, guest posting, or PR opportunities. It can be used as a selling point when pitching to other brands, influencers, or media outlets for partnerships.
Benchmarking and Goal Setting: Knowing competitors' DA helps set realistic goals and benchmarks for a brand. It provides a target to aim for and assists in strategizing accordingly.
Content Strategy: High DA typically indicates that a website has quality content deemed valuable by other sites (hence, they link to it). If competitors have higher DA scores, it may be worth analyzing their content strategies to identify gaps or opportunities.
Effectiveness of SEO Efforts: Brands can gauge the effectiveness of their SEO efforts by monitoring DA over time, especially after significant SEO initiatives. A rising DA can be an indicator that the strategies implemented are working.
Risk Assessment: A sudden drop in DA can be a red flag. It may indicate the loss of significant backlinks, potential penalties from search engines, or other issues that need immediate attention.
Conversion Optimization: While DA is primarily an SEO metric, it indirectly impacts user trust. Users are more likely to trust and engage with brands that appear more frequently on the first page of search results. Knowing how your DA stacks up against competitors can help inform strategies to boost conversions.

Additional considerations where this metric can play a role:

Content Marketing: DA can identify strengths and weaknesses in a brand's content marketing strategy. Suppose competitors with higher DA produce certain types of content that are gaining traction. In that case, it might be worth exploring similar content avenues.
Link Building: A higher DA often correlates with a strong backlink profile. By studying competitors' backlink profiles with higher DA, brands can identify opportunities to build quality website backlinks.
Ad Strategies: If a brand uses paid search campaigns, understanding its DA can give insights into organic vs. paid traffic performance. A lower DA might indicate a heavier reliance on paid strategies. A higher DA suggests good organic visibility, potentially leading to more efficient ad spend.

Backlinks - Count

What is this metric?

The Backlinks - Count metric measures the number of incoming hyperlinks to a brand's website. Google and other major search engines consider backlinks in Search Engine Results Page (SERP) rankings.

How is this metric calculated?

BlueOcean calculates the total number of incoming hyperlinks (aka ‘backlinks’) to a given brand's website at the domain level.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Backlinks - Count metric is a valuable resource for:

Search Engine Optimization (SEO): Backlinks are a crucial factor in SEO. Knowing the backlink count helps a brand understand its online visibility and authority in search engine rankings. Comparing this data to competitors provides insights into who has a more substantial online presence.
Competitive Analysis: By comparing backlink counts with competitors, a brand can assess its position in the market. Brands with more backlinks may have a competitive advantage regarding online authority and visibility.
Benchmarking: It provides a benchmark for measuring the success of SEO and marketing efforts. Tracking changes in backlink counts over time allows a brand to assess the impact of strategies and campaigns.

Additional considerations where this metric can play a role:

Link Quality Assessment: It's not just about quantity but also quality. Brands can evaluate the quality of backlinks by assessing the domain authority and relevance of linking websites, helping to identify areas for improvement.
Content Strategy: Analyzing competitors' backlink profiles can reveal the types of content and topics that attract high-quality backlinks. This information can inform the brand's content strategy and help create content that resonates with the target audience.
Link-Building Strategy: Brands can identify potential link-building opportunities by studying where competitors have acquired backlinks. This can guide the brand's link-building efforts to target similar websites or sources.
Risk Mitigation: Monitoring backlinks helps brands identify and address potentially harmful or spammy links that could negatively impact their SEO rankings. This proactive approach can protect the brand's online reputation.
Audience Insights: Analyzing the sources of backlinks can offer insights into the brand's audience and their online behavior, which is helpful when refining targeting and engagement strategies.
Partnership Opportunities: Brands can identify potential partnership or collaboration opportunities by exploring websites that link to competitors. These partnerships can lead to mutually beneficial marketing initiatives.
Reputation Management: Understanding the online mentions and links to the brand and competitors helps in reputation management. Brands can address negative mentions and promote positive ones to shape their online image.

Referring Domains - Count

What is this metric?

The Referring Domains - Count metric measures the number of referring domains that link to a specific brand's domain.

How is this metric calculated?

BlueOcean calculates a point-in-time total number of websites linking to a brand's website.

Data source(s): BlueOcean Proprietary Model utilizing data from:

Semrush

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Referring Domains - Count metric is a valuable resource for:

Backlink Analysis: Monitoring the number of referring domains helps brands assess their backlink profile. More referring domains typically indicate a more robust and diverse link profile.
Competitive Benchmarking: Comparing the number of referring domains with competitors provides insights into how a brand's backlink profile stacks up in the market. Brands with more referring domains may have a competitive advantage regarding online visibility and SEO.
SEO Performance: Referring domains are crucial in search engine optimization (SEO). A diverse and high-quality backlink profile can positively impact a brand's search engine rankings, leading to increased organic traffic.
Monitoring Growth: Brands can track changes in the number of referring domains over time to measure the success of their link-building efforts and the impact of SEO strategies.

Additional considerations where this metric can play a role:

Link Building Strategy: Brands can analyze the referring domains to understand which websites link to their content. This information can guide link-building efforts, helping the marketing department identify potential link-building opportunities and outreach targets.
Content Quality Assessment: Brands can assess the quality and relevance of backlinks from referring domains. High-quality and authoritative backlinks can boost the brand's credibility and trustworthiness.
Penalty Avoidance: Monitoring referring domains helps brands identify potentially harmful or low-quality backlinks that could lead to search engine penalties. Brands can take proactive measures to disavow or remove such links.
Competitive Insights: Examining competitors' referring domains can provide insights into their link-building strategies and sources of authority. This information can inform a brand's own link-building efforts.
Local SEO: Referring domains from local websites and directories can be especially valuable for brands with a local presence. It can improve local search rankings and visibility.
Brand Reputation: A diverse and high-quality backlink profile can enhance the brand's online reputation and authority in its industry or niche.
Content Strategy: Understanding which types of content attract backlinks can guide the development of content marketing strategies that focus on creating link-worthy content.
Strategic Partnerships: Identifying websites that consistently refer traffic can lead to potential strategic partnerships or collaborations.

Distinctiveness

What is this factor?

The Distinctiveness factor is a composite metric that synthesizes multiple data points that, when combined, seek to assess whether or not a brand’s defining attributes are key differentiators from its competitors and substitutes.

How is this factor calculated?

BlueOcean computes a proprietary weighted average of the following sub-factors by brand:

Brand Theme Distinction: The Brand Theme Distinction sub-factor measures the degree to which a brand’s content discusses themes that differ from its competitors or category.
Brand Personality Distinction: The Brand Personality Distinction sub-factor measures how distinctive a brand's written content (sentence structure, keyword usage) and personality (archetype) are when compared with its competitors or category.
Audience Theme Distinction: The Audience Theme Distinction metric assesses the degree of differentiation in the themes used by a brand’s audience when discussing the brand in review content compared with the average of its competitors or category.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based brand content (website, blogs).
Organic brand content social media via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media sources (LinkedIn).
Audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Brand Theme Distinction

What is this sub-factor?

The Brand Theme Distinction sub-factor measures the degree to which a brand’s content discusses themes that differ from those of its competitors or category.

How is this sub-factor calculated?

BlueOcean computes a proprietary calculation of the following metric:

Brand Theme Distinction: The Brand Theme Distinction metric measures the degree to which a brand’s content discusses themes that differ from those of its competitors or category.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand’s website (including blogs)
A brand’s organic social media via native social channel APIs (X, Facebook, YouTube, and Instagram), and web-based social media sources (LinkedIn).

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean Framework

How is this information valuable to my brand?

Brand Theme Distinction

What is this metric?

The Brand Theme Distinction metric measures the degree to which the themes a brand discusses in its content differ from those of its competitors or category.

How is this metric calculated?

For every theme, BlueOcean calculates the following three individual theme scores:

Each brand's content density
The cohort or category’s average density
The degree of deviation* between the brand's content density and the cohort or category's average density

BlueOcean then combines each theme's degree of deviation score into a single average deviation per brand. Brands with a greater average deviation (those discussing themes more or less frequently compared to competitors) achieve higher scores.

*Note: The degree of deviation is quantified in absolute terms, regardless of whether a brand has a higher or lower density—only the absolute difference matters.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Brand content from each brand’s website (including blogs)
A brand’s organic social media via native social channel APIs (X, Facebook, YouTube, and Instagram), web-based social media sources (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Brand Theme Distinction metric is a valuable resource for:

Competitive Differentiation: This metric helps identify how a brand's content stands out from competitors. It highlights unique themes that a brand emphasizes, which can be leveraged to differentiate a brand in the market.
Brand Positioning: Understanding the distinct themes in a brand’s content helps refine and strengthen brand positioning. Marketing departments can use this information to highlight a brand's unique value propositions more effectively.
Content Strategy: Insights from this metric inform content strategy by identifying which themes are unique to a brand. Marketing departments can focus on creating and promoting content that emphasizes these unique themes to attract and engage the target audience.
Audience Engagement: Differentiated content themes can lead to higher audience engagement. By focusing on unique themes, a brand can attract and retain an audience specifically interested in those topics.
Message Consistency: Analyzing theme differentiation ensures that a brand’s messaging remains consistent across all platforms while still standing out from competitors. Consistent messaging strengthens brand identity and recognition.
Gap Analysis: This metric helps identify content gaps where a brand does not address specific themes that competitors focus on. Marketing departments can then decide whether to fill these gaps or continue emphasizing its unique themes.
Market Opportunities: Understanding how a brand's themes differ from competitors can reveal market opportunities. Brands can capitalize on themes that are not being adequately addressed by competitors, meeting unmet needs in the market.
Campaign Effectiveness: By tailoring marketing campaigns to focus on a brand’s unique themes, marketing departments can increase the effectiveness of these campaigns, making them more compelling and relevant to the target audience.
Brand Loyalty: Differentiated content themes that resonate well with the audience can build stronger brand loyalty. Customers are more likely to stay loyal to a brand that consistently provides unique and relevant content.
Reputation Management: Unique content themes can enhance a brand’s reputation by showcasing expertise and thought leadership in specific areas. This can positively influence public perception and trust in a brand.
SEO and Organic Traffic: Unique content themes can improve SEO performance by targeting niche keywords and topics that competitors may not cover. This can lead to increased organic traffic and better search engine rankings.
Product Development: Insights from content theme differentiation can inform product development by highlighting themes that are unique and important to a brand’s audience. This can lead to the creation of products that better meet customer needs.
Customer Insights: Understanding which themes set a brand apart provides valuable customer insights. It reveals what the audience values most about a brand, allowing for more targeted and effective marketing efforts.
Adaptability and Innovation: Analyzing theme differentiation encourages a brand to stay adaptable and innovative. Marketing departments can continuously refine and evolve content strategies to maintain a competitive edge.
Long-Term Strategy: This metric supports long-term strategic planning by ensuring that a brand remains distinct and relevant in the market. It helps in setting strategic goals that align with a brand’s unique positioning.

Brand Personality Distinction

What is this sub-factor?

The Brand Personality Distinction sub-factor measures how distinct a brand's written content (sentence structure, keyword usage) and personality (archetype) are when compared with its competitors or category.

How is this sub-factor calculated?

BlueOcean computes a proprietary calculation of the following metric:

Brand Personality Distinction: The Brand Personality Distinction metric measures how distinct a brand's written content (sentence structure, keyword usage) and personality (archetype) are.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram), and web-based social media (LinkedIn).

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Brand Personality Distinction

What is this metric?

The Brand Personality Distinction metric measures how distinct a brand's written content (sentence structure, keyword usage) and personality (archetype) are.

How is this metric calculated?

BlueOcean calculates a proprietary brand personality score based on each brand's content across the web (website, blogs) and social media (X, Facebook, Instagram, YouTube, and LinkedIn). This calculation assesses the distinctiveness of each brand's written content (sentence structure, keyword usage) and personality (archetype), then compares that brand profile to twelve unique defined archetypes.

Note: It’s possible for a brand with low levels of content to receive a higher personality differentiation rate naturally, given that each additional piece of content can shift personality scores more than brands with larger amounts of brand content.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram), and web-based social media (LinkedIn).

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Brand Personality Distinction metric is a valuable resource for:

Competitive Analysis: It allows brands to assess how their personality and image compare to those of competitors. Understanding the unique personality traits sets the brand apart and helps identify areas for distinction.
Positioning: Brand personality distinction is crucial for positioning a brand uniquely in the market. Brands can leverage their distinct personality traits to establish a solid and memorable brand identity.
Audience Connection: Brands with unique personalities can forge stronger emotional connections with their target audience. It helps in resonating with consumers who share similar values and preferences.
Messaging Strategy: Distinct brand personalities can inform a brand's messaging strategy. It helps craft messages that align with the brand's personality traits and resonate with the audience.
Brand Loyalty: Consumers often develop loyalty to brands with personalities that align with their values and beliefs. A differentiated brand personality can foster brand loyalty and advocacy.
Brand Equity: A well-differentiated brand personality contributes to brand equity, making a brand more valuable and recognizable in the marketplace.
Crisis Management: Brands with well-defined personalities can navigate crises more effectively by staying true to their core values and beliefs.
Long-Term Strategy: A distinct brand personality is critical for shaping a brand's long-term strategy and maintaining a competitive edge in the market.

Additional considerations where this metric can play a role:

Content Creation: Brand personality informs content creation and messaging. It guides marketing materials' tone, style, and voice, ensuring consistency and authenticity.
Brand Voice: A distinct brand personality leads to developing a unique brand voice. This voice can set a brand apart in advertising, social media, and all communication channels.
Content Promotion: Brands can promote their unique personality traits as part of their branding efforts to increase engagement and attract like-minded consumers.
Target Audience Alignment: Brand personality differentiation helps ensure that a brand's personality aligns with the preferences and aspirations of the target audience.
Brand Consistency: Understanding a brand's personality traits ensures consistency across all marketing materials, from advertisements to social media posts, reinforcing the brand's image.
Product Development: Insights from brand personality differentiation can inform product development decisions by aligning new offerings with a brand's personality.
Partnerships and Collaborations: Brands can use their unique personality traits to identify potential partnerships and collaborations with brands or influencers with similar values.

Audience Theme Distinction

What is this sub-factor?

The Audience Theme Distinction sub-factor assesses the degree of differentiation in the themes used by a brand’s audience when discussing the brand in review content compared with the average of its competitors or category.

How is this sub-factor calculated?

BlueOcean computes a proprietary calculation of the following metric:

Audience Theme Distinction: The Audience Theme Distinction metric assesses the degree of differentiation in the themes used by a brand’s audience when discussing the brand in review content compared with the average of its competitors or category.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Audience Theme Distinction

What is this metric?

The Audience Theme Distinction metric assesses the degree of differentiation in the themes used by a brand’s audience when discussing the brand in review content compared with the average of its competitors or category.

How is this metric calculated?

For every theme, BlueOcean calculates the following three individual theme scores:

Each brand's audience content density
The cohort or category’s average audience density
The degree of deviation* between the brand's average audience content density and the cohort or category's average audience density

BlueOcean then combines each theme's degree of deviation score into a single average deviation per brand. Brands with a greater average deviation (those whose audience is discussing themes more or less frequently compared to competitors) achieve higher scores.

*Note: The degree of deviation is quantified in absolute terms, regardless of whether a brand’s audience has a higher or lower density—only the absolute difference matters.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Audience Theme Distinction metric is a valuable resource for:

Competitive Differentiation: This metric helps marketing departments understand how a brand is perceived differently from competitors. Identifying unique themes can highlight a brand's distinct strengths and areas where it stands out.
Customer Insights: Analyzing the themes in audience reviews provides deep insights into customer perceptions, preferences, and pain points. Understanding these themes helps tailor marketing strategies to meet customer needs and expectations better .
Brand Positioning: This metric informs brand positioning by highlighting the themes that resonate most with the audience. Marketing departments can use this information to refine a brand's value proposition and messaging to emphasize unique attributes.
Content Strategy: Knowing the themes that differentiate the brand from competitors allows marketing departments to create targeted content that addresses specific audience interests and concerns, making the content more relevant and engaging.
Product Development: Insights from audience reviews can inform product development and improvements. If specific themes are frequently mentioned positively or negatively, brands can use this feedback to enhance offerings.
Reputation Management: Understanding the unique themes discussed in audience reviews helps in managing a brand's reputation. Marketing departments can address negative themes proactively and promote positive ones to shape public perception.
Customer Loyalty and Retention: By identifying the themes that drive customer satisfaction and loyalty, a brand can focus on these areas to enhance customer retention strategies and foster long-term relationships.
Competitive Strategy: Comparing a brand’s themes with competitors’ themes provides a strategic advantage. It helps marketing departments identify market gaps and opportunities to further differentiate the brand.
Targeted Marketing Campaigns: With insights into the specific themes that differentiate a brand, marketing departments can design targeted marketing campaigns that emphasize these unique aspects, increasing the effectiveness of promotional efforts.
Audience Engagement: Engaging with the audience on the themes that matter most to them builds stronger connections. A brand can use these insights to interact more meaningfully with customers on social media, forums, and other platforms.
Voice of Customer Programs: Incorporating the identified themes into voice of customer programs ensures that a brand listens and responds to what customers value most, improving overall customer satisfaction.
Brand Advocacy: Positive themes that differentiate a brand can be leveraged to encourage brand advocacy. Satisfied customers who resonate with these themes are more likely to recommend a brand to others.
Market Trends: Tracking the themes over time can reveal emerging market trends and shifts in customer preferences. Marketing departments can use this information to stay ahead of industry changes and adapt strategies accordingly.
Customer Segmentation: Identifying distinct themes allows for better customer segmentation. Marketing departments can create personalized marketing messages and campaigns for different customer segments based on their unique preferences and behaviors.
Long-Term Strategy: Insights from this metric can inform a brand’s long-term strategic planning, ensuring that marketing efforts are aligned with customer expectations and market dynamics.

Consistency

What is this factor?

The Consistency factor is a composite metric that synthesizes multiple data points that, when combined, seek to assess whether every interaction with a brand reinforces its defining attributes.

How is this factor calculated?

BlueOcean computes a proprietary weighted average of the following sub-factors by brand:

Message Consistency: The Message Consistency metric assesses the consistency of a brand’s themes and personality across web and social brand content.
Message Alignment: The Message Alignment metric assesses the alignment between brand content across web and social and that of the brand’s audience in terms of the volume of theme content, and the sentiment.
Message Timing: The Message Timing metric measures the regularity of a brand’s social posting.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based brand content (website, blogs)
Organic brand content social media via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media sources (LinkedIn).
Audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Message Consistency

What is this sub-factor?

The Message Consistency sub-factor is a composite metric that measures the degree of consistency (thematic and personality) between a brand’s social media content and web-based content.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Brand Theme Consistency (Web vs. Social): The Brand Theme Consistency (Web vs. Social) metric measures the consistency of the themes a brand expresses in web content compared to those expressed in a brand’s social content.
Brand Personality Consistency (Web vs. Social): The Brand Personality Consistency (Web vs. Social) metric measures the cross-channel (web vs social platforms) consistency of a brand's personality as expressed through brand content.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram), and web-based social media metrics (LinkedIn).

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Brand Theme Consistency (Web vs. Social)

What is this metric?

The Brand Theme Consistency (Web vs. Social) metric measures the consistency of the themes a brand expresses in web content compared to those expressed in a brand’s social content.

How is this metric calculated?

BlueOcean assesses the congruency between a brand's theme frequencies expressed in its web content vs. the theme frequencies expressed in its social content. Brands with highly congruent theme frequencies across web and social receive higher scores.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Brand Theme Consistency (Web vs. Social) metric is a valuable resource for:

Brand Cohesion: Consistent themes across web and social content reinforce a brand's identity and message. This cohesion helps build a strong, recognizable brand that resonates with the audience.
Trust and Credibility: Consistency in messaging across platforms fosters trust and credibility among the audience. It shows that a brand is reliable and maintains a unified voice.
Audience Engagement: Aligning themes between web and social content ensures that a brand meets audience expectations regardless of the platform they engage with. This alignment can lead to higher engagement rates and a more loyal audience.
Content Strategy: Understanding the consistency of themes helps marketing departments refine content strategies. It ensures that key messages are effectively communicated across all channels, maximizing the impact of marketing efforts.
Competitive Analysis: Comparing theme consistency with competitors provides insights into their branding and content strategies. This comparison can highlight areas where a brand can improve or differentiate itself.
Resource Efficiency: Consistent themes allow for more efficient use of content resources. Content created for the website can be repurposed for social media and vice versa, saving time and effort.
Message Clarity: Consistent themes help clarify a brand's message, making it easier for the audience to understand and remember. Clear messaging is crucial for effective communication and brand recall.
Integrated Campaigns: Consistent themes support integrated marketing campaigns, where web and social media efforts are synchronized to deliver a cohesive experience. This integration enhances the overall effectiveness of campaigns.
Customer Journey: Ensuring theme consistency across platforms creates a seamless customer journey. Whether customers encounter a brand on social media or the website, they receive the same core messages, enhancing their experience.
Brand Differentiation: Consistency in themes can help a brand stand out from competitors with disjointed or inconsistent messaging. This differentiation can attract and retain customers.
Content Performance Measurement: Analyzing theme consistency allows marketing departments to measure content performance across different platforms. It helps identify which themes resonate most with the audience and drive engagement.
Adaptability: Consistent themes can be adapted more quickly to new trends or platform updates. A clear thematic strategy provides a foundation that can evolve while maintaining core brand messages.
Internal Alignment: Ensuring consistency in themes across web and social content promotes internal alignment within marketing teams. It helps different departments and team members work towards common goals with a unified approach.
Brand Storytelling: Consistent themes support effective brand storytelling. They allow a brand to craft and share a compelling narrative that resonates with the audience across various touchpoints.

Additional considerations where this metric can play a role:

Reputation Management: Consistent messaging can help manage a brand's reputation by ensuring that all communications accurately reflect a brand's values and positioning.

Brand Personality Consistency (Web vs. Social)

What is this metric?

The Brand Personality Consistency (Web vs. Social) metric measures the cross-channel (web vs social platforms) consistency of a brand's personality as expressed through brand content.

How is this metric calculated?

BlueOcean assesses the congruency between a brand's archetypes in its web and social content. Brands with highly congruent archetypes across the web and social receive higher scores.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Brand Personality Consistency (Web vs. Social) metric is a valuable resource for:

Consistency: It helps brands assess whether their personality is consistent across different online channels, including the brand's website and social media platforms. Consistency is crucial for reinforcing the brand's identity and message.
Brand Identity: Brand personality alignment ensures that a brand's identity is coherent and recognizable to the audience, regardless of the platform. This consistency helps build and maintain brand recognition.
Customer Experience: A consistent brand personality provides a unified and cohesive customer experience. Customers can trust the brand's messaging and values, strengthening relationships and loyalty.
Message Clarity: Alignment ensures that a brand's core messages and values are clear and uniform, reducing confusion among the audience.
Audience Engagement: Brands with aligned personalities tend to engage their audience more effectively. Customers can better relate to a brand with a consistent personality, fostering stronger emotional connections.
Content Strategy: Brand personality alignment guides content creation and strategy across channels. It helps craft content that resonates with the audience and aligns with a brand's values and voice.
Cross-Promotion: Aligned brand personality allows for effective cross-promotion between web and social media channels, enhancing visibility and engagement.
Competitive Advantage: Brands with a well-aligned personality can gain a competitive advantage by presenting a unified and compelling brand image.
Crisis Management: Consistency in brand personality can be vital during crises, as it ensures that the brand can respond effectively while maintaining trust and credibility.
Customer Trust: A consistent brand personality builds trust with customers, as they know what to expect from a brand regardless of where they interact with it online.
Long-Term Strategy: Maintaining brand personality alignment is essential for shaping a brand's long-term strategy and maintaining a competitive edge in the market.

Additional considerations where this metric can play a role:

Content Personalization: Understanding personality alignment informs personalized content strategies, tailoring messages to address different audience needs and preferences.
Adaptation and Evolution: While consistency is essential, this data can also help brands assess whether adjustments or evolutions in personality are needed based on changing audience expectations or market dynamics.
Resource Allocation: By understanding where personality alignment is strongest or weakest, the marketing department can allocate resources more effectively to improve alignment in specific areas.

Message Alignment

What is this sub-factor?

The Message Alignment sub-factor is a composite metric that assesses the alignment between a brand’s content and what the brand’s audience thinks and feels is important.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Volume-based Theme Alignment: The Volume-based Theme Alignment metric compares the volume of a brand's theme content (across web and social) relative to the volume of audience conversation.
Sentiment-based Theme Alignment: The Sentiment-based Theme Alignment metric measures a brand's content volume (themes) relative to audience sentiment to determine, on average, how a brand's audience feels about the brand content they consume.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)
Audience Reviews (including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and article-based audience reviews

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Volume-based Theme Alignment

What is this metric?

The Volume-based Theme Alignment metric compares the volume of a brand's theme content (across web and social) relative to the volume of audience conversation.

How is this metric calculated?

BlueOcean determines the brand’s average thematic makeup vs. the thematic makeup of audience conversation to assess the degree of deviation.

Note: Brands with more thematic alignment with that of their audience’s conversation will receive higher scores, whereas brands with higher deviation levels from their audience cohort average will receive lower scores.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)
Audience Reviews (including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and article-based audience reviews

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How can I use this information to my advantage?

The Volume-based Theme Alignment metric is a valuable resource for:

Audience Relevance: It allows brands to assess how well their content aligns with their target audience's ongoing conversations and interests. Content alignment is crucial for staying relevant to the audience.
Content Strategy: Insights into the alignment of competitors' content with audience conversations inform a brand's content strategy. It helps create content that resonates with the audience's interests and concerns.
Content Creation: Understanding alignment with audience conversation guides the creation of timely and relevant content that addresses the audience's rational needs and preferences.
Messaging Strategy: Content alignment influences a brand's messaging strategy. It helps in crafting messages that relate to current audience discussions and concerns.
Trend Identification: Identifying alignment trends among competitors can help brands stay attuned to emerging trends and shifts in audience behavior.
Resource Allocation: By understanding the alignment of competitors' content, brands can allocate resources effectively to create and promote content that resonates with the audience.
Long-Term Strategy: Understanding content alignment trends over time helps shape a brand's long-term content and messaging strategy, ensuring consistent and effective communication.

Additional considerations where this metric can play a role:

Audience Engagement: Content that aligns with ongoing conversations is more likely to engage the audience effectively. Brands can identify content themes that are trending or highly relevant to their audience.
Content Calendar: Brands can use insights from content alignment to plan their content calendar, ensuring they address the topics and themes that matter most to the audience.
Content Promotion: Brands can strategically promote content that aligns with current audience conversations, increasing visibility and engagement.
Audience Insights: Theme consistencyContent alignment data can provide insights into audience behavior, preferences, and trending topics, allowing for more effective audience targeting.
Content Quality: Analyzing consistency alignment alongside content quality can help identify correlations between relevance and content effectiveness.
Campaign Planning: Insights into content alignment with audience conversation can inform the planning and execution of marketing campaigns to ensure that content is contextually relevant.

Sentiment-based Theme Alignment

What is this metric?

The Sentiment-based Theme Alignment metric measures a brand's content volume (themes) relative to audience sentiment to determine, on average, how a brand's audience feels about the brand content they consume.

How is this metric calculated?

BlueOcean calculates a weighted sentiment by multiplying each brand's audience sentiment by their brand content density. The sum of each brand's weighted sentiment is then divided by each brand's total theme density. The two resulting sentiment calculations are summed for each brand and stack ranked.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Web-based Brand content (website, blogs)
Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)
Audience Reviews (including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and article-based audience reviews

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

The Sentiment-based Theme Alignment metric is a valuable resource for:

Content Quality and Relevance: If a brand's audience feels positively about its content, it indicates that it is relevant, engaging, and resonates. Conversely, a negative sentiment suggests areas for improvement.
Competitive Benchmarking: Comparing how a brand's audience feels about its content versus how competitors' audiences feel provides a relative standing. This can show if a brand is leading, on par, or lagging in the industry regarding content quality and engagement.
Strategic Direction: Positive feelings toward a brand's content can affirm the direction of the brand's current content strategy. Negative emotions signal a need to pivot or refine the brand's approach.
Audience Retention and Loyalty: Well-received content fosters audience loyalty and encourages return visits. If consumers like what they consume, they're more likely to stick around and advocate for a brand.
Feedback Loop: By gauging the audience's feelings, brands have a direct feedback mechanism. This can guide content ideation, format selection (e.g., video vs. blog), and topical focus.
Conversion Potential: Content that resonates well with the audience is likelier to drive desired actions, whether purchases, sign-ups, or other key performance indicators.
Brand Image and Reputation: How audiences feel about content can heavily influence their perception of a brand. Positive content sentiment can elevate a brand’s reputation, while negative sentiment can harm it.
Risk Management: Negative sentiments can act as early warning signs for potential PR issues or widespread discontent, allowing for timely interventions.

Additional considerations where this metric can play a role:

Adapt and Innovate: Seeing how a brand's audience feels compared to competitors can reveal gaps in the market or unmet needs, providing opportunities for innovation.
Resource Allocation: If certain content types or topics are exceptionally well-received, it may warrant allocating more resources to those areas, whether that's budget, time, or personnel.
Engagement Metrics Correlation: Cross-referencing audience sentiment with other engagement metrics (e.g., shares, likes, comments) can provide a holistic view of content effectiveness.
Content Personalization: Feedback on content can guide personalization efforts, ensuring different audience segments receive content that is most relevant and appealing to them.
Potential Collaborations: If the audience feels positively about specific types of content, it could open doors for collaborations or partnerships in creating similar content.

Message Timing

What is this sub-factor?

The Message Timing sub-factor measures the consistency of a brand's organic social post frequency by social channel over the last thirty days.

How is this sub-factor calculated?

BlueOcean computes a proprietary calculation of the following metric:

Social Posting Consistency: The Social Posting Consistency metric measures the consistency of a brand's organic social post frequency by social channel over the last thirty days.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Social Posting Consistency

What is this metric?

The Social Timing Consistency metric measures the consistency of a brand's organic social post frequency by social channel over the last thirty days.

How is this metric calculated?

For each channel and brand, BlueOcean calculates the average number of posts per day divided by the standard deviation of the brand's number of posts per day on each channel to determine the coefficient of variation - the degree to which a brand varies in its amount of daily posting. Individual channel scores are then averaged into a single value per brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Organic social media-based Brand content via native social channel APIs (X, Facebook, YouTube, and Instagram) and web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Social Timing Consistency metric is a valuable resource for:

Competitive Benchmarking: Allows brands to assess how their posting cadence on organic social media compares to that of their competitors. Understanding posting frequency and timing helps identify areas of strength and opportunities for improvement.
Content Strategy: Insights into competitors' posting cadence can inform a brand's content strategy. It helps determine the optimal frequency and timing for sharing content on social media platforms.
Trend Identification: Identifying posting cadence trends among competitors can help the brand stay attuned to emerging trends and shifts in audience behavior.
Long-Term Strategy: Understanding posting cadence trends over time helps shape a brand's long-term social media strategy, ensuring consistent and effective communication.

Additional considerations where this metric can play a role:

Audience Engagement: Posting at the right cadence can lead to better audience engagement. Brands can analyze competitors' cadence to identify patterns that resonate with their target audience.
Content Calendar: Understanding competitors' posting schedules can help the brand create a content calendar that aligns with or strategically differs from competitors, ensuring consistent content delivery.
Messaging Strategy: Posting cadence can influence a brand's messaging strategy. It guides when and how messages are delivered to the audience, ensuring timely and relevant communication.
Content Distribution: Knowing when competitors post can help a brand avoid posting simultaneously, ensuring that content doesn't get buried in users' feeds.
Response Time: Monitoring competitors' posting cadence can also inform a brand's response time to comments, messages, and engagement with followers.
Content Quality: Analyzing posting cadence alongside content quality can help identify correlations between frequency and content effectiveness.
Content Promotion: Brands can use insights from competitors' posting cadence to promote their content strategically, ensuring maximum visibility and engagement.
Resource Allocation: By understanding the posting cadence of competitors, the marketing department can allocate resources effectively to maintain a competitive edge in social media marketing.
Audience Insights: Posting cadence data can provide insights into audience behavior and preferred times for engagement, allowing for more effective audience targeting.
Campaign Planning: Posting cadence insights can inform the planning and scheduling of social media campaigns, ensuring that content is distributed strategically to achieve campaign objectives.

Impact

What is this factor?

The Impact factor is a composite metric that synthesizes multiple data points that, when combined, seek to assess whether or not the defining attributes of a brand are valuable to its target audience.

How is this factor calculated?

BlueOcean computes a proprietary weighted average of the following sub-factors by brand:

Revenue: The Revenue sub-factor is a composite metric that assesses a brand’s financial performance.
Earned Engagement: The Earned Engagement sub-factor is a composite metric that assesses the organic activities of a brand that generate user interaction and engagement with the brand.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Business data - A combination of regulatory filings (SEC), market summaries, media sources, and business intelligence tools (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo)
Native social channel APIs (X, Facebook, YouTube, and Instagram), web-based social media metrics (LinkedIn)
Semrush
SimilarWeb

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework

How is this information valuable to my brand?

Revenue

What is this sub-factor?

The Revenue sub-factor is a composite metric that assesses a brand’s financial performance.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Company Size: The Company Size metric group is a composite metric that assesses a brand’s scale and importance in its marketplace.
Growth Indicators: The Growth Indicators metric group is a composite metric that evaluates key financial performance indicators of a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

SEC filings and third-party data (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo).

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean Framework | BlueOcean Basic Framework

How is this information valuable to my brand?

Company Size

What is this metric group?

The Company Size metric group is a composite metric that assesses a brand’s scale and importance in its marketplace.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Annual Revenue: The Annual Revenue metric assesses the dollars generated by a brand's main activities, products, or services.
Market Capitalization: The Market Capitalization metric measures a brand's total known market value (public companies) or the estimated value (private companies).
Number of Employees: The Number of Employees metric assesses the total count of individuals a brand employs.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

SEC filings and third-party data (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo)

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

Annual Revenue

What is this metric?

The Annual Revenue metric assesses the dollars generated by a brand's main activities, products, or services.

How is this metric calculated?

BlueOcean bases estimated annual revenue on the most recent four quarters of SEC filings for publicly traded brands. For private companies or sub-brands of publicly traded companies where public information is unavailable, a combination of sources is used, including media sources, SEC filings, business intelligence tools (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo), and BlueOcean's proprietary financial performance model.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

SEC filings are used for publicly traded brands.
For private companies or sub-brands of publicly traded companies where public information is unavailable, a combination of sources is used, including media sources, SEC filings, business intelligence tools (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo), and BlueOcean's proprietary financial performance model.

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Annual Revenue metric is a valuable resource for:

Financial Health Assessment: Annual revenue figures provide a snapshot of a brand's financial health and stability. Brands can use this data to assess their financial performance and overall strength.
Competitive Analysis: Comparing annual revenue with competitors helps brands gauge their relative position in the market. Brands with higher revenues may be seen as more competitive and financially robust.
Market Share Analysis / Excess Share of Voice Analysis: Annual revenue figures can indicate a brand's share of the market. This is a key measure used to calculate the 'Excess Share Of Voice' rule, which identifies sufficient ad and paid search spend levels relative to market share to position a brand for long-term growth.
Strategic Planning & Budget Allocation: Revenue data can inform strategic planning and decision-making. It helps brands set realistic growth targets, evaluate the feasibility of strategic initiatives, and make more informed decisions about budget allocation.
Benchmarking: Annual revenue is a benchmark for evaluating the brand's performance and growth over time. Brands can track changes in revenue to measure progress.
Market Positioning: High revenue figures can enhance a brand's market positioning, making it more attractive to customers and partners.

Additional considerations where this metric can play a role:

Investor Perception: Investors often use revenue data as a key metric for evaluating a brand’s attractiveness as an investment. Higher revenue figures can attract more investors and potentially result in increased stock price.
Investor Relations: Brands can use revenue data in investor relations efforts to demonstrate financial strength and attract potential investors and partners.
Competitive Advantages: Understanding competitors’s revenue can reveal areas where the brand may have competitive advantages. It can help identify niches or opportunities for growth.
Risk Assessment: Revenue data can be used for risk assessment and contingency planning. Brands can identify potential financial challenges and develop strategies to mitigate risks.
Mergers and Acquisitions: Brands considering mergers or acquisitions can use revenue data to identify potential targets or partners and assess the financial impact of such transactions.

Market Capitalization

What is this metric?

The Market Capitalization metric measures a brand's total known market value (public companies) or the estimated value (private companies).

How is this metric calculated?

BlueOcean triangulates a brand's total value using a combination of sources, including regulatory filings, market summaries, media sources, and business intelligence tools like Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo. When financial information is unavailable, Brand Navigator's proprietary financial performance model is used.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A combination of regulatory filings, market summaries, media sources, and business intelligence tools like Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo and BlueOcean's proprietary financial performance model.

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Market Capitalization metric is a valuable resource for:

Competitive Analysis: Comparing market capitalization with competitors provides insights into the brand's relative position in the market.
Strategic Planning: Brands can use market capitalization data to inform their strategic planning. It can help set growth targets and evaluate the feasibility of strategic initiatives.
Benchmarking: Market capitalization data is a benchmark for evaluating the brand's performance and growth over time. Brands can track changes in their market capitalization to measure progress.

Additional considerations where this metric can play a role:

Financial Health Assessment: Market capitalization reflects the total value of a company in the stock market. Brands can use this data to assess their financial health and stability, and that of their competitors.
Investor Perception: Market capitalization can influence investor perception. A higher market capitalization may attract more investors and potentially result in increased stock price.
Market Share: Market capitalization can indicate a brand's share of the total market value. Brands with significant market capitalization may have a larger market share.
Mergers and Acquisitions: Brands considering mergers or acquisitions can use market capitalization data to identify potential targets or partners and assess the financial impact of such transactions.
Competitive Advantages: Understanding the competitors’ market capitalization can reveal areas where a brand may have competitive advantages. It can help identify niches or opportunities for growth.
Investor Relations: Brands can use market capitalization data in investor relations efforts, demonstrating financial strength to shareholders and potential investors.
Risk Assessment: Market capitalization can be an indicator of a brand's ability to weather economic downturns or financial challenges. Brands can use this data for risk assessment and contingency planning.
Valuation: Brands can use market capitalization as one of the factors to estimate their overall valuation, which can be useful in negotiations, partnerships, and business transactions.
Financing Opportunities: Brands with higher market capitalization may have easier access to financing options, including debt and equity offerings.

Number of Employees

What is this metric?

The Number of Employees metric assesses the total count of individuals a brand employs.

How is this metric calculated?

For publicly traded companies or larger organizations, BlueOcean will utilize publicly available data (e.g., SEC filings, authoritative media) where possible. For private companies, smaller organizations, or product-level brands, an in-house model utilizing employee count estimates from various business intelligence sources (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo) is used.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Publicly available data (e.g., SEC filings, authoritative media) where available. When authoritative data is not publicly available, BlueOcean's proprietary model utilizing employee count estimates from various business intelligence sources (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo) is used.

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Number of Employees metric is a valuable resource for:

Operational Benchmarking: Brands can compare their number of employees to that of competitors to assess their operational scale and efficiency. This benchmarking helps brands understand how they stack up regarding workforce size.
Resource Allocation: Brands can use the number of employees when optimizing their resource allocation strategies.
Competitive Analysis: Understanding the size of competitors' workforces can reveal insights into their operational capabilities and cost structures. Brands can assess whether they have a competitive advantage or disadvantage in human resources.
Market Positioning: Workforce size can influence a brand's market positioning. Brands with larger workforces may be perceived as having a greater capacity to serve customers or innovate.
Growth Assessment: Brands can track changes in the number of employees over time to assess their growth trajectory. This information helps set growth targets and evaluate the feasibility of expansion plans.
Cost Control: Brands can evaluate their workforce size in relation to their revenue and expenses. An excessively large workforce may indicate potential inefficiencies that need to be addressed.
Budget Planning: Workforce size impacts labor costs. Brands can use this data to effectively plan and budget for labor expenses.
Strategic Alignment: Aligning workforce size with strategic objectives is crucial. Brands can use this information to ensure their workforce supports their long-term goals and initiatives.
Recruiting and Employee Retention: Workforce size can influence a brand's market positioning in recruiting and retention efforts. Brands with larger or growing workforces may be perceived more positively than competitors.

Additional considerations where this metric can play a role:

Customer Service and Support: The number of customer service representatives can impact customer satisfaction. Brands can use this data to ensure they have adequate resources to provide timely support to customers.
Product Development: Workforce size in research and development can indicate a brand's capacity for innovation. Brands can assess whether they have the necessary resources to drive product development and innovation.
Competitive Differentiation: Brands can identify areas where they can differentiate themselves based on workforce size. For example, having a lean and agile workforce can be a selling point in some industries.

Growth Indicators

What is this metric group?

The Growth Indicators metric group is a composite metric that evaluates a brand’s key financial performance indicators.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Annual Revenue Growth: The Annual Revenue Growth metric measures year-over-year changes in revenue by brand using the most recent quarter of annual revenue figures.
Revenue per Employee: The Revenue per Employee metric measures the average annual revenue earned per employee.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

SEC filings and third-party data (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo).

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Annual Revenue Growth

What is this metric?

The Annual Revenue Growth metric measures year-over-year changes in revenue by brand using the most recent quarter of annual revenue figures.

How is this metric calculated?

BlueOcean calculates the percentage change between the most recent quarter's revenue data and the same quarter in the previous year (e.g., Q1, 2023 vs. Q1, 2024).

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

SEC filings and third-party data (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo)

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Annual Revenue Growth metric is a valuable resource for:

Performance Evaluation: Annual revenue growth is a crucial metric for evaluating a brand's financial health and performance. Brands can assess their ability to generate increasing revenue over time.
Competitive Analysis: Comparing revenue growth with competitors helps brands understand their relative performance in the market. Brands with higher revenue growth may be seen as more competitive and innovative.
Market Positioning: Revenue growth can influence a brand's market positioning. Brands with solid revenue growth may be perceived as leaders in their industry, attracting customers and investors.
Strategic Planning: Understanding revenue growth rates informs strategic planning. based on their growth trajectory, brands can set realistic growth targets, plan expansion, and allocate resources effectively.
Risk Assessment: A declining or stagnant revenue growth rate can be an early warning sign of issues or challenges. Brands can use this data for risk assessment and contingency planning.
Budget Allocation: Brands can make more informed decisions about budget allocation and expansion efforts based on their revenue growth performance.
Marketing Strategy: Brands can incorporate revenue growth as a marketing point to build trust and credibility with customers and investors.

Additional considerations where this metric can play a role:

Investor Attraction: Brands with consistent and strong revenue growth are often more attractive to investors. This can result in increased investment and potentially higher stock prices.
Investor Relations: Revenue growth data is useful in investor relations efforts to demonstrate financial strength and attract potential investors and partners.
Competitive Advantages: Understanding how revenue growth compares to competitors can reveal areas where a brand may have competitive advantages. It can help identify niches or opportunities for growth.
Long-Term Strategy: Revenue growth data can inform a brand's long-term strategic planning, ensuring that growth remains a central focus of a brand's identity.

Revenue per Employee

What is this metric?

The Revenue per Employee metric measures the average annual revenue earned per employee.

How is this metric calculated?

BlueOcean computes an average revenue per employee by identifying a brand’s total annual revenue divided by the total number of personnel employed by the brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

For publicly traded brands, SEC filings are used. For private companies or sub-brands of publicly traded companies where public information is unavailable, a combination of sources is used, including media sources, SEC filings, business intelligence tools (e.g., Apollo, Latka, Owler, Rocketreach, MacroTrends, and Zoominfo).

Data Source Update Frequency: Quarterly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Revenue per Employee metric is a valuable resource for:

Efficiency Benchmarking: This metric provides insights into the efficiency and productivity of a brand’s workforce. By comparing revenue per employee with competitors, marketing departments can assess how well a brand is utilizing its human resources relative to others in the industry.
Competitive Analysis: Understanding how a brand's revenue per employee stacks up against competitors helps identify strengths and weaknesses in operational efficiency. This can inform strategic decisions to improve productivity.
Resource Allocation: High revenue per employee indicates effective resource allocation and workforce management. This insight can guide marketing departments in optimizing budget allocation for marketing campaigns and other initiatives.
Performance Metrics: Revenue per employee is a key performance indicator (KPI) that reflects the overall health and effectiveness of a brand’s business operations. Marketing can use this KPI to track performance over time and measure the impact of marketing strategies on overall productivity.
Value Proposition: High revenue per employee can be a selling point in marketing materials, showcasing a brand’s operational efficiency and productivity to potential investors, customers, and partners.
Marketing ROI: By understanding how efficiently a brand generates revenue, marketing departments can better calculate the return on investment (ROI) for marketing campaigns and initiatives. This ensures that marketing spend is optimized for maximum impact.
Benchmarking Best Practices: By analyzing competitors with high revenue per employee, marketing departments can identify best practices and strategies that can be adopted to improve their own efficiency and productivity.
Innovation and Growth: High revenue per employee may indicate a focus on innovation and effective business processes. Marketing departments can highlight these aspects in branding and marketing efforts to position the brand as a leader in its industry.

Additional considerations where this metric can play a role:

Cost Management: If a brand has a lower revenue per employee compared to competitors, it may indicate inefficiencies or areas where costs could be better managed. Marketing departments can use this information to identify cost-saving opportunities without compromising on output.
Strategic Planning: This metric aids in long-term strategic planning. It helps in setting realistic goals and benchmarks for revenue growth and workforce expansion, ensuring that growth is sustainable and efficient.
Investment Decisions: Investors often look at revenue per employee as a measure of a brand’s operational efficiency. High efficiency can make a brand more attractive to investors, providing a strong case for investment.
Employee Productivity: This metric can provide insights into employee productivity and help identify areas where training or process improvements may be needed to enhance efficiency.
Talent Acquisition and Retention: Brands with high revenue per employee may attract top talent who are looking for efficient and high-performing workplaces. It also helps in retaining current employees by demonstrating the brand’s effectiveness and growth potential.
Communication with Stakeholders: Clear communication of a brand’s efficiency and productivity to stakeholders, including employees, customers, and investors, can build trust and demonstrate the brand’s commitment to operational excellence.

Earned Engagement

What is this sub-factor?

The Earned Engagement sub-factor is a composite metric that assesses the organic activities of a brand that generate user interaction and engagement with the brand.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Organic Social Engagement: The Organic Social Engagement metric group is a composite metric that measures a brand’s social following engagement in terms of total reach and degree of engagement.
Organic Social Sharing: The Organic Social Sharing metric group is a composite metric that measures how likely a brand’s content is to drive its audience to further share the brand’s message in terms of total reach and propensity to share.
Website Engagement: The Website Engagement metric group is a composite metric that assesses the level of a brand’s audience engagement with the brand’s web content.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram), web-based social media metrics (LinkedIn)
Semrush
SimilarWeb

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Organic Social Engagement

What is this metric group?

The Organic Social Engagement metric group is a composite metric that measures a brand’s social following engagement in terms of total reach and degree of engagement.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metric clusters:

Post Engagement - Count: The Post Engagement - Count metric cluster is a composite metric that measures a brand’s social following engagement in terms of total reach (i.e., the total count of ‘reactions,’ ‘comments,’ ‘likes,’ and ‘replies’ across Facebook, Instagram, X, YouTube, and LinkedIn).
Post Engagement - Rate: The Post Engagement - Rate metric cluster is a composite metric that seeks to assess how likable a brand’s social posts are, and how likely they are to drive audience engagement across Facebook, Instagram, X, YouTube, and LinkedIn.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Post Engagement - Count

What is this metric cluster?

The Post Engagement - Count metric cluster is a composite metric that measures a brand’s social following engagement in terms of total reach (i.e., the total count of ‘reactions,’ ‘comments,’ ‘likes,’ and ‘replies’ across Facebook, Instagram, X, YouTube, and LinkedIn).

How is this metric cluster calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Post Engagement - Count: The Facebook Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach (reactions & comments) on the Facebook platform.
Instagram Post Engagement - Count: The Instagram Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach (likes & comments) on the Instagram platform.
X Post Engagement - Count: The X Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach (likes & replies) on the X platform.
YouTube Post Engagement - Count: The YouTube Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach (likes & comments) on the YouTube platform.
LinkedIn Post Engagement - Count: The LinkedIn Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach (reactions & comments) on the LinkedIn platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

To learn how to act on this information, please visit the individual metric pages for more details.

Facebook Post Engagement - Count

What is this metric?

The Facebook Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach on the Facebook platform.

How is this metric calculated?

BlueOcean aggregates the total number of Facebook 'reactions' and 'comments' attributed to a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Facebook Post Engagement - Count metric is a valuable resource for:

Audience Engagement: It provides insights into how engaged a brand's social media audience is, as indicated by the number of reactions and comments. High engagement is a positive sign of an active and responsive community.
Competitive Benchmarking: Comparing engagement metrics with competitors allows brands to assess how well they perform in terms of audience interaction and how they stack up against industry peers.
Content Effectiveness: Brands can use reactions and comments data to evaluate the effectiveness of different types of content and messaging.
Campaign Impact: Monitoring reactions and comments over time allows brands to track the impact of specific social media campaigns and promotions. It helps in measuring campaign success and ROI.
Community Building: High levels of reactions and comments can indicate a strong and active social media community around the brand. Brands can leverage this community for brand advocacy and user-generated content.
Crisis Management: Rapid changes in engagement metrics, such as a sudden increase in negative comments, can be an early warning sign of issues or crises. Brands can use this data for early detection and crisis management.
Long-Term Strategy: Monitoring engagement metrics over time helps assess a brand's long-term relationship with the social media audience and guides the development of sustainable social media strategies.

Additional considerations where this metric can play a role:

Content Strategy Refinement: Brands can refine their content strategy by analyzing the types of posts that receive the most reactions and comments. This data guides content creation and messaging.
Response Rate: Brands can track their response rate to reactions and comments, ensuring that customer inquiries and feedback are addressed promptly. High response rates enhance customer satisfaction.
Audience Sentiment: Analyzing reactions and comments provides insights into audience sentiment and feedback. Brands can gauge the positive, negative, or neutral sentiment and take appropriate actions.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with high engagement levels who may be potential influencers or partners for collaborations.
User Experience Improvement: Brands can use feedback from reactions and comments to identify areas where the user experience can be improved, leading to higher satisfaction levels.
Customer Insights: Engagement metrics can provide demographic and behavioral insights into the brand's social media audience. This information can be used for audience segmentation and targeted marketing.

Instagram Post Engagement - Count

What is this metric?

The Instagram Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach on the Instagram platform.

How is this metric calculated?

BlueOcean aggregates the total number of Instagram ‘likes’ and 'comments' attributed to a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Instagram native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Instagram Post Engagement - Count metric is a valuable resource for:

Audience Engagement: It provides insights into how engaged a brand's social media audience is, as indicated by the number of likes and comments. High engagement is a positive sign of an active and responsive community.
Competitive Benchmarking: Comparing engagement metrics with competitors allows brands to assess how well they perform in terms of audience interaction and how they stack up against industry peers.
Content Effectiveness: Brands can use likes and comments data to evaluate the effectiveness of different types of content and messaging.
Campaign Impact: Monitoring likes and comments over time allows brands to track the impact of specific social media campaigns and promotions. It helps in measuring campaign success and ROI.
Community Building: High levels of likes and comments can indicate a strong and active social media community around the brand. Brands can leverage this community for brand advocacy and user-generated content.
Crisis Management: Rapid changes in engagement metrics, such as a sudden increase in negative comments, can be an early warning sign of issues or crises. Brands can use this data for early detection and crisis management.
Long-Term Strategy: Monitoring engagement metrics over time helps assess a brand's long-term relationship with the social media audience and guides the development of sustainable social media strategies.

Additional considerations where this metric can play a role:

Content Strategy Refinement: Brands can refine their content strategy by analyzing the types of posts that receive the most likes and comments. This data guides content creation and messaging.
Response Rate: Brands can track their response rate to likes and comments, ensuring that customer inquiries and feedback are addressed promptly. High response rates enhance customer satisfaction.
Audience Sentiment: Analyzing replies provides insights into audience sentiment and feedback. Brands can gauge the positive, negative, or neutral sentiment and take appropriate actions.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with high engagement levels who may be potential influencers or partners for collaborations.
User Experience Improvement: Brands can use feedback from comments to identify areas where the user experience can be improved, leading to higher satisfaction levels.
Customer Insights: Engagement metrics can provide demographic and behavioral insights into the brand's social media audience. This information can be used for audience segmentation and targeted marketing.

X Post Engagement - Count

What is this metric?

The X Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach on the X platform.

How is this metric calculated?

BlueOcean aggregates the total number of X 'likes' and 'replies' attributed to a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The X Post Engagement - Count metric is a valuable resource for:

Audience Engagement: It provides insights into how engaged a brand's social media audience is, as indicated by the number of likes and replies. High engagement is a positive sign of an active and responsive community.
Competitive Benchmarking: Comparing engagement metrics with competitors allows brands to assess how well they perform in terms of audience interaction and how they stack up against industry peers.
Content Effectiveness: Brands can use likes and replies data to evaluate the effectiveness of different types of content and messaging.
Campaign Impact: Monitoring likes and replies over time allows brands to track the impact of specific social media campaigns and promotions. It helps in measuring campaign success and ROI.
Community Building: High levels of likes and replies can indicate a strong and active social media community around the brand. Brands can leverage this community for brand advocacy and user-generated content.
Crisis Management: Rapid changes in engagement metrics, such as a sudden increase in negative comments, can be an early warning sign of issues or crises. Brands can use this data for early detection and crisis management.
Long-Term Strategy: Monitoring engagement metrics over time helps assess a brand's long-term relationship with the social media audience and guides the development of sustainable social media strategies.

Additional considerations where this metric can play a role:

Content Strategy Refinement: Brands can refine their content strategy by analyzing the types of posts that receive the most likes and replies. This data guides content creation and messaging.
Response Rate: Brands can track their response rate to replies and comments, ensuring that customer inquiries and feedback are addressed promptly. High response rates enhance customer satisfaction.
Audience Sentiment: Analyzing replies provides insights into audience sentiment and feedback. Brands can gauge the positive, negative, or neutral sentiment and take appropriate actions.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with high engagement levels who may be potential influencers or partners for collaborations.
User Experience Improvement: Brands can use feedback from replies to identify areas where the user experience can be improved, leading to higher satisfaction levels.
Customer Insights: Engagement metrics can provide demographic and behavioral insights into the brand's social media audience. This information can be used for audience segmentation and targeted marketing.

YouTube Post Engagement - Count

What is this metric?

The YouTube Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach on the YouTube platform.

How is this metric calculated?

BlueOcean aggregates the total number of YouTube 'likes' and 'comments' attributed to a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

YouTube native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The YouTube Post Engagement - Count metric is a valuable resource for:

Audience Engagement: It provides insights into how engaged a brand's social media audience is, as indicated by the number of likes and comments. High engagement is a positive sign of an active and responsive community.
Competitive Benchmarking: Comparing engagement metrics with competitors allows brands to assess how well they perform in terms of audience interaction and how they stack up against industry peers.
Content Effectiveness: Brands can use likes and comments data to evaluate the effectiveness of different types of content and messaging.
Campaign Impact: Monitoring likes and comments over time allows brands to track the impact of specific social media campaigns and promotions. It helps in measuring campaign success and ROI.
Community Building: High levels of likes and comments can indicate a strong and active social media community around the brand. Brands can leverage this community for brand advocacy and user-generated content.
Crisis Management: Rapid changes in engagement metrics, such as a sudden increase in negative comments, can be an early warning sign of issues or crises. Brands can use this data for early detection and crisis management.
Long-Term Strategy: Monitoring engagement metrics over time helps assess a brand's long-term relationship with the social media audience and guides the development of sustainable social media strategies.

Additional considerations where this metric can play a role:

Content Strategy Refinement: Brands can refine their content strategy by analyzing the types of posts that receive the most likes and comments. This data guides content creation and messaging.
Response Rate: Brands can track their response rate to replies and comments, ensuring that customer inquiries and feedback are addressed promptly. High response rates enhance customer satisfaction.
Audience Sentiment: Analyzing comments provides insights into audience sentiment and feedback. Brands can gauge the positive, negative, or neutral sentiment and take appropriate actions.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with high engagement levels who may be potential influencers or partners for collaborations.
User Experience Improvement: Brands can use feedback from comments to identify areas where the user experience can be improved, leading to higher satisfaction levels.
Customer Insights: Engagement metrics can provide demographic and behavioral insights into the brand's social media audience. This information can be used for audience segmentation and targeted marketing.

LinkedIn Post Engagement - Count

What is this metric?

The LinkedIn Post Engagement - Count metric measures a brand’s social following engagement in terms of total reach on the LinkedIn platform.

How is this metric calculated?

BlueOcean aggregates the total number of LinkedIn 'reactions' and 'comments' attributed to a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

LinkedIn web-based social media metrics

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The LinkedIn Post Engagement - Count metric is a valuable resource for:

Audience Engagement: It provides insights into how engaged a brand's social media audience is, as indicated by the number of reactions and comments. High engagement is a positive sign of an active and responsive community.
Competitive Benchmarking: Comparing engagement metrics with competitors allows brands to assess how well they perform in terms of audience interaction and how they stack up against industry peers.
Content Effectiveness: Brands can use reactions and comments data to evaluate the effectiveness of different types of content and messaging.
Campaign Impact: Monitoring reactions and comments over time allow brands to track the impact of specific social media campaigns and promotions. It helps in measuring campaign success and ROI.
Community Building: High levels of reactions and comments can indicate a strong and active social media community around the brand. Brands can leverage this community for brand advocacy and user-generated content.
Crisis Management: Rapid changes in engagement metrics, such as a sudden increase in negative comments, can be an early warning sign of issues or crises. Brands can use this data for early detection and crisis management.
Long-Term Strategy: Monitoring engagement metrics over time helps assess a brand's long-term relationship with the social media audience and guides the development of sustainable social media strategies.

Additional considerations where this metric can play a role:

Content Strategy Refinement: Brands can refine their content strategy by analyzing the types of posts that receive the most reactions and comments. This data guides content creation and messaging.
Response Rate: Brands can track their response rate to reactions and comments, ensuring that customer inquiries and feedback are addressed promptly. High response rates enhance customer satisfaction.
Audience Sentiment: Analyzing replies provides insights into audience sentiment and feedback. Brands can gauge the positive, negative, or neutral sentiment and take appropriate actions.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with high engagement levels who may be potential influencers or partners for collaborations.
User Experience Improvement: Brands can use feedback from comments to identify areas where the user experience can be improved, leading to higher satisfaction levels.
Customer Insights: Engagement metrics can provide demographic and behavioral insights into the brand's social media audience. This information can be used for audience segmentation and targeted marketing.

Post Engagement - Rate

What is this metric cluster?

The Post Engagement - Rate metric cluster is a composite metric that seeks to assess how likable a brand’s social posts are, and how likely they are to drive audience engagement.

How is this metric cluster calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Post Engagement - Rate: The Facebook Post Engagement - Rate metric seeks to assess how likable a brand’s Facebook-based social posts are, and how likely they are to drive audience engagement (reactions & comments) on the Facebook platform.
Instagram Post Engagement - Rate: The Instagram Post Engagement - Rate metric seeks to assess how likable a brand’s Instagram-based social posts are, and how likely they are to drive audience engagement (likes & comments) on the Instagram platform.
X Post Engagement - Rate: The X Post Engagement - Rate metric seeks to assess how likable a brand’s X-based social posts are, and how likely they are to drive audience engagement (likes & replies) on the X platform.
YouTube Post Engagement - Rate: The YouTube Post Engagement - Rate metric seeks to assess how likable a brand’s YouTube-based social posts are, and how likely they are to drive audience engagement (likes & comments) on the YouTube platform.
LinkedIn Post Engagement - Rate: The LinkedIn Post Engagement - Rate metric seeks to assess how likable a brand’s LinkedIn-based social posts are, and how likely they are to drive audience engagement (reactions & comments) on the LinkedIn platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, Facebook, YouTube, and Instagram)
Web-based social media metrics (LinkedIn)

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Facebook Post Engagement - Rate

What is this metric?

The Facebook Post Engagement - Rate metric seeks to assess how likable a brand’s Facebook-based social posts are, and how likely they are to drive audience engagement on the Facebook platform.

How is this metric calculated?

BlueOcean aggregates the total number of Facebook 'reactions' and 'comments' attributed to a brand, then divides that by the brand’s total number of Facebook followers multiplied by the total number of brand posts for a specific timeframe on the Facebook Platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Facebook Post Engagement - Rate metric is a valuable resource for:

Audience Engagement: This metric provides insights into how effectively a brand's social media content resonates with its audience. High engagement rates indicate that the content is relevant and compelling to followers.
Competitive Benchmarking: Comparing engagement rates with competitors allows marketing departments to understand how well a brand is performing relative to others in the industry. This benchmarking can highlight areas where a brand excels or needs improvement.
Brand Loyalty and Advocacy: High engagement rates are often a sign of strong brand loyalty and advocacy. Engaged followers are more likely to share content, recommend a brand, and become repeat customers.
Resource Allocation: Analyzing engagement rates helps in making informed decisions about resource allocation. Marketing departments can invest more in platforms and content types that generate higher engagement, optimizing the return on investment.
Influencer Partnerships: High engagement rates can attract potential influencers who want to collaborate with a brand. It also helps in evaluating the effectiveness of current influencer partnerships.
Brand Perception: Engagement rates can be an indicator of how a brand is perceived by its audience. Consistently high engagement suggests a positive perception, while low engagement may signal issues with brand image or content relevance.
Trend Identification: Monitoring engagement metrics helps identify trends and shifts in audience interests. Marketing departments can stay ahead of trends and adapt content strategies to maintain relevance.
Customer Relationship Management: Engaged followers are more likely to interact with a brand, providing opportunities for building stronger relationships through direct communication and personalized responses.
SEO and Web Traffic: Engaging social media posts can drive more traffic to a brand’s website. Understanding what content drives engagement can help in creating posts that encourage clicks and visits.
Long-Term Strategy: Engagement metrics support the development of long-term social media strategies. Consistently measuring and analyzing engagement helps in setting realistic goals and tracking progress over time.

Additional considerations where this metric can play a role:

Content Strategy Optimization: By analyzing engagement rates, marketing departments can identify which types of content (e.g., videos, images, text posts) and themes perform best. This information helps in refining a brand’s content strategy to focus on high-performing content.
Campaign Effectiveness: Engagement metrics are crucial for evaluating the success of social media campaigns. Marketing departments can measure the impact of specific campaigns and adjust strategies based on what drives the most engagement.
Audience Insights: Engagement metrics provide valuable insights into follower preferences and behaviors. Understanding what content types and themes resonate most with the audience helps in creating more targeted and effective marketing messages.
Real-Time Feedback: Social media engagement offers real-time feedback on content performance. This allows marketing departments to quickly adjust and optimize content strategies based on immediate audience reactions.
Content Personalization: Insights from engagement metrics enable marketing departments to personalize content for different segments of the audience, enhancing relevance and impact.

Instagram Post Engagement - Rate

What is this metric?

The Instagram Post Engagement - Rate metric seeks to assess how likable a brand’s Instagram-based social posts are, and how likely they are to drive audience engagement on the Instagram platform.

How is this metric calculated?

BlueOcean aggregates the total number of Instagram ‘likes’ and 'comments' attributed to a brand, then divides that by the brand’s total number of Instagram followers multiplied by the total number of brand posts for a specific timeframe on the Instagram Platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Instagram native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Instagram Post Engagement - Rate metric is a valuable resource for:

Audience Engagement: This metric provides insights into how effectively a brand's social media content resonates with its audience. High engagement rates indicate that the content is relevant and compelling to followers.
Competitive Benchmarking: Comparing engagement rates with competitors allows marketing departments to understand how well a brand is performing relative to others in the industry. This benchmarking can highlight areas where a brand excels or needs improvement.
Brand Loyalty and Advocacy: High engagement rates are often a sign of strong brand loyalty and advocacy. Engaged followers are more likely to share content, recommend a brand, and become repeat customers.
Resource Allocation: Analyzing engagement rates helps in making informed decisions about resource allocation. Marketing departments can invest more in platforms and content types that generate higher engagement, optimizing the return on investment.
Influencer Partnerships: High engagement rates can attract potential influencers who want to collaborate with a brand. It also helps in evaluating the effectiveness of current influencer partnerships.
Brand Perception: Engagement rates can be an indicator of how a brand is perceived by its audience. Consistently high engagement suggests a positive perception, while low engagement may signal issues with brand image or content relevance.
Trend Identification: Monitoring engagement metrics helps identify trends and shifts in audience interests. Marketing departments can stay ahead of trends and adapt content strategies to maintain relevance.
Customer Relationship Management: Engaged followers are more likely to interact with a brand, providing opportunities for building stronger relationships through direct communication and personalized responses.
SEO and Web Traffic: Engaging social media posts can drive more traffic to a brand’s website. Understanding what content drives engagement can help in creating posts that encourage clicks and visits.
Long-Term Strategy: Engagement metrics support the development of long-term social media strategies. Consistently measuring and analyzing engagement helps in setting realistic goals and tracking progress over time.

Additional considerations where this metric can play a role:

Content Strategy Optimization: By analyzing engagement rates, marketing departments can identify which types of content (e.g., videos, images, text posts) and themes perform best. This information helps in refining a brand’s content strategy to focus on high-performing content.
Campaign Effectiveness: Engagement metrics are crucial for evaluating the success of social media campaigns. Marketing departments can measure the impact of specific campaigns and adjust strategies based on what drives the most engagement.
Audience Insights: Engagement metrics provide valuable insights into follower preferences and behaviors. Understanding what content types and themes resonate most with the audience helps in creating more targeted and effective marketing messages.
Real-Time Feedback: Social media engagement offers real-time feedback on content performance. This allows marketing departments to quickly adjust and optimize content strategies based on immediate audience reactions.
Content Personalization: Insights from engagement metrics enable marketing departments to personalize content for different segments of the audience, enhancing relevance and impact.

X Post Engagement - Rate

What is this metric?

The X Post Engagement - Rate metric seeks to assess how likable a brand’s X-based social posts are, and how likely they are to drive audience engagement on the X platform.

How is this metric calculated?

BlueOcean aggregates the total number of X 'likes' and 'replies' attributed to a brand, then divides that by the brand’s total number of X followers multiplied by the total number of brand posts for a specific timeframe on the X Platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The X Post Engagement - Rate metric is a valuable resource for:

Audience Engagement: This metric provides insights into how effectively a brand's social media content resonates with its audience. High engagement rates indicate that the content is relevant and compelling to followers.
Competitive Benchmarking: Comparing engagement rates with competitors allows marketing departments to understand how well a brand is performing relative to others in the industry. This benchmarking can highlight areas where a brand excels or needs improvement.
Brand Loyalty and Advocacy: High engagement rates are often a sign of strong brand loyalty and advocacy. Engaged followers are more likely to share content, recommend a brand, and become repeat customers.
Resource Allocation: Analyzing engagement rates helps in making informed decisions about resource allocation. Marketing departments can invest more in platforms and content types that generate higher engagement, optimizing the return on investment.
Influencer Partnerships: High engagement rates can attract potential influencers who want to collaborate with a brand. It also helps in evaluating the effectiveness of current influencer partnerships.
Brand Perception: Engagement rates can be an indicator of how a brand is perceived by its audience. Consistently high engagement suggests a positive perception, while low engagement may signal issues with brand image or content relevance.
Trend Identification: Monitoring engagement metrics helps identify trends and shifts in audience interests. Marketing departments can stay ahead of trends and adapt content strategies to maintain relevance.
Customer Relationship Management: Engaged followers are more likely to interact with a brand, providing opportunities for building stronger relationships through direct communication and personalized responses.
SEO and Web Traffic: Engaging social media posts can drive more traffic to a brand’s website. Understanding what content drives engagement can help in creating posts that encourage clicks and visits.
Long-Term Strategy: Engagement metrics support the development of long-term social media strategies. Consistently measuring and analyzing engagement helps in setting realistic goals and tracking progress over time.

Additional considerations where this metric can play a role:

Content Strategy Optimization: By analyzing engagement rates, marketing departments can identify which types of content (e.g., videos, images, text posts) and themes perform best. This information helps in refining a brand’s content strategy to focus on high-performing content.
Campaign Effectiveness: Engagement metrics are crucial for evaluating the success of social media campaigns. Marketing departments can measure the impact of specific campaigns and adjust strategies based on what drives the most engagement.
Audience Insights: Engagement metrics provide valuable insights into follower preferences and behaviors. Understanding what content types and themes resonate most with the audience helps in creating more targeted and effective marketing messages.
Real-Time Feedback: Social media engagement offers real-time feedback on content performance. This allows marketing departments to quickly adjust and optimize content strategies based on immediate audience reactions.
Content Personalization: Insights from engagement metrics enable marketing departments to personalize content for different segments of the audience, enhancing relevance and impact.

YouTube Post Engagement - Rate

What is this metric?

The YouTube Post Engagement - Rate metric seeks to assess how likable a brand’s YouTube-based social posts are, and how likely they are to drive audience engagement on the YouTube platform.

How is this metric calculated?

BlueOcean aggregates the total number of YouTube 'likes' and 'comments' attributed to a brand, then divides that by the brand’s total number of YouTube followers multiplied by the total number of brand posts for a specific timeframe on the YouTube Platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

YouTube native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The YouTube Post Engagement - Rate metric is a valuable resource for:

Audience Engagement: This metric provides insights into how effectively a brand's social media content resonates with its audience. High engagement rates indicate that the content is relevant and compelling to followers.
Competitive Benchmarking: Comparing engagement rates with competitors allows marketing departments to understand how well a brand is performing relative to others in the industry. This benchmarking can highlight areas where a brand excels or needs improvement.
Brand Loyalty and Advocacy: High engagement rates are often a sign of strong brand loyalty and advocacy. Engaged followers are more likely to share content, recommend a brand, and become repeat customers.
Resource Allocation: Analyzing engagement rates helps in making informed decisions about resource allocation. Marketing departments can invest more in platforms and content types that generate higher engagement, optimizing the return on investment.
Influencer Partnerships: High engagement rates can attract potential influencers who want to collaborate with a brand. It also helps in evaluating the effectiveness of current influencer partnerships.
Brand Perception: Engagement rates can be an indicator of how a brand is perceived by its audience. Consistently high engagement suggests a positive perception, while low engagement may signal issues with brand image or content relevance.
Trend Identification: Monitoring engagement metrics helps identify trends and shifts in audience interests. Marketing departments can stay ahead of trends and adapt content strategies to maintain relevance.
Customer Relationship Management: Engaged followers are more likely to interact with a brand, providing opportunities for building stronger relationships through direct communication and personalized responses.
SEO and Web Traffic: Engaging social media posts can drive more traffic to a brand’s website. Understanding what content drives engagement can help in creating posts that encourage clicks and visits.
Long-Term Strategy: Engagement metrics support the development of long-term social media strategies. Consistently measuring and analyzing engagement helps in setting realistic goals and tracking progress over time.

Additional considerations where this metric can play a role:

Content Strategy Optimization: By analyzing engagement rates, marketing departments can identify which types of content (e.g., videos, images, text posts) and themes perform best. This information helps in refining a brand’s content strategy to focus on high-performing content.
Campaign Effectiveness: Engagement metrics are crucial for evaluating the success of social media campaigns. Marketing departments can measure the impact of specific campaigns and adjust strategies based on what drives the most engagement.
Audience Insights: Engagement metrics provide valuable insights into follower preferences and behaviors. Understanding what content types and themes resonate most with the audience helps in creating more targeted and effective marketing messages.
Real-Time Feedback: Social media engagement offers real-time feedback on content performance. This allows marketing departments to quickly adjust and optimize content strategies based on immediate audience reactions.
Content Personalization: Insights from engagement metrics enable marketing departments to personalize content for different segments of the audience, enhancing relevance and impact.

LinkedIn Post Engagement - Rate

What is this metric?

The LinkedIn Post Engagement - Rate metric seeks to assess how likable a brand’s LinkedIn-based social posts are, and how likely they are to drive audience engagement on the LinkedIn platform.

How is this metric calculated?

BlueOcean aggregates the total number of LinkedIn 'reactions' and 'comments' attributed to a brand, then divides that by the brand's total number of LinkedIn followers multiplied by the total number of brand posts for a specific timeframe on the LinkedIn Platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

LinkedIn web-based social media metrics

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The LinkedIn Post Engagement - Rate metric is a valuable resource for:

Audience Engagement: This metric provides insights into how effectively a brand's social media content resonates with its audience. High engagement rates indicate that the content is relevant and compelling to followers.
Competitive Benchmarking: Comparing engagement rates with competitors allows marketing departments to understand how well a brand is performing relative to others in the industry. This benchmarking can highlight areas where a brand excels or needs improvement.
Brand Loyalty and Advocacy: High engagement rates are often a sign of strong brand loyalty and advocacy. Engaged followers are more likely to share content, recommend a brand, and become repeat customers.
Resource Allocation: Analyzing engagement rates helps in making informed decisions about resource allocation. Marketing departments can invest more in platforms and content types that generate higher engagement, optimizing the return on investment.
Influencer Partnerships: High engagement rates can attract potential influencers who want to collaborate with a brand. It also helps in evaluating the effectiveness of current influencer partnerships.
Brand Perception: Engagement rates can be an indicator of how a brand is perceived by its audience. Consistently high engagement suggests a positive perception, while low engagement may signal issues with brand image or content relevance.
Trend Identification: Monitoring engagement metrics helps identify trends and shifts in audience interests. Marketing departments can stay ahead of trends and adapt content strategies to maintain relevance.
Customer Relationship Management: Engaged followers are more likely to interact with a brand, providing opportunities for building stronger relationships through direct communication and personalized responses.
SEO and Web Traffic: Engaging social media posts can drive more traffic to a brand's website. Understanding what content drives engagement can help in creating posts that encourage clicks and visits.
Long-Term Strategy: Engagement metrics support the development of long-term social media strategies. Consistently measuring and analyzing engagement helps in setting realistic goals and tracking progress over time.

Additional considerations where this metric can play a role:

Content Strategy Optimization: By analyzing engagement rates, marketing departments can identify which types of content (e.g., videos, images, text posts) and themes perform best. This information helps in refining a brand's content strategy to focus on high-performing content.
Campaign Effectiveness: Engagement metrics are crucial for evaluating the success of social media campaigns. Marketing departments can measure the impact of specific campaigns and adjust strategies based on what drives the most engagement.
Audience Insights: Engagement metrics provide valuable insights into follower preferences and behaviors. Understanding what content types and themes resonate most with the audience helps in creating more targeted and effective marketing messages.
Real-Time Feedback: Social media engagement offers real-time feedback on content performance. This allows marketing departments to quickly adjust and optimize content strategies based on immediate audience reactions.
Content Personalization: Insights from engagement metrics enable marketing departments to personalize content for different segments of the audience, enhancing relevance and impact.

Organic Social Sharing

What is this metric group?

The Organic Social Sharing metric group is a composite metric that measures how likely a brand’s content is to drive its audience to further share the brand's message in terms of total reach and propensity to share.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metric clusters:

Post Sharing - Count: The Post Sharing - Count metric cluster is a composite metric that measures the propensity for the social following of a brand to share the brand's message with others in terms of total reach on the Facebook and X social platforms.
Post Sharing - Rate: The Post Sharing - Rate metric cluster is a composite metric that seeks to assess how likely are a brand's social posts to drive the brand's audience to share the brand's message with others on the Facebook and X social platforms.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X, and Facebook)

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Post Sharing - Count

What is this metric cluster?

The Post Sharing - Count metric cluster is a composite metric that measures the propensity for the social following (on the Facebook and X social media platforms) of a brand to share the brand's message with others in terms of total reach.

How is this metric cluster calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Shares - Count: The Facebook Shares - Count metric measures the propensity of a brand's social following to share the brand's message with others in terms of total reach on the Facebook platform.
X Reposts - Count: The X Reposts - Count metric measures the propensity of a brand’s social following to share the brand’s message with others in terms of total reach on the X platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X and Facebook)

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Facebook Shares - Count

What is this metric?

The Facebook Shares - Count metric measures the propensity of a brand’s social following to share the brand’s message with others in terms of total reach on the Facebook platform.

How is this metric calculated?

BlueOcean calculates a count of a brand's total number of Facebook ‘shares.’

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Facebook Shares - Count metric is a valuable resource for:

Performance Benchmarking: A brand can benchmark its social media performance against its direct competitors. This comparative analysis helps identify areas of strength and opportunities for improvement.
Audience Engagement Assessment: A brand's share of social media can be indicative of audience engagement and degree of interaction with the brand's content. Brands with a higher share in this metric likely have a more engaged and active audience.
Competitive Analysis: Monitoring a brand's share of social relative to competitors provides insights into its competitive positioning in the market. Brands with a larger share may have a more significant influence on their audience.
Community Building: Brands can leverage a high share of social media to foster a sense of community around their products or services, leading to brand advocacy and user-generated content.
Long-Term Strategy: Monitoring share of social over time helps in assessing a brand's long-term social media strategy and guides the development of sustainable engagement efforts.

Additional considerations where this metric can play a role:

Content Strategy Optimization: Brands can analyze which content types drive the most shares and comments. This data informs content strategy, helping brands create content that resonates with their audience and encourages social sharing and discussion.
Campaign Effectiveness: Brands can assess the effectiveness of specific social media campaigns and content by tracking changes in their share of social metrics. This helps in measuring campaign success and ROI.
Content Promotion: Brands can promote content that receives a high share of Facebook shares to a broader audience, increasing its reach and engagement.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with a high share of shares, potentially indicating influencers or partners with a strong presence in the brand's niche.
Ad Campaign Optimization: Brands can optimize their advertising campaigns by promoting content that has a high share of social, as it is likely to resonate with a broader audience.

X Reposts - Count

What is this metric?

The X Reposts - Count metric measures the propensity of a brand’s social following to share the brand’s message with others in terms of total reach on the X platform.

How is this metric calculated?

BlueOcean calculates a count of a brand's total number of X ‘reposts.’

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The X Reposts - Count metric is a valuable resource for:

Performance Benchmarking: A brand can benchmark its social media performance against its direct competitors. This comparative analysis helps identify areas of strength and opportunities for improvement.
Audience Engagement Assessment: A brand's share of social media can be indicative of audience engagement and degree of interaction with the brand's content. Brands with a higher share in this metric likely have a more engaged and active audience.
Competitive Analysis: Monitoring a brand's share of social relative to competitors provides insights into its competitive positioning in the market. Brands with a larger share may have a more significant influence on their audience.
Community Building: Brands can leverage a high share of social media to foster a sense of community around their products or services, leading to brand advocacy and user-generated content.
Long-Term Strategy: Monitoring share of social over time helps in assessing a brand's long-term social media strategy and guides the development of sustainable engagement efforts.

Additional considerations where this metric can play a role:

Content Strategy Optimization: Brands can analyze which content types drive the most reposts. This data informs content strategy, helping brands create content that resonates with their audience and encourages social sharing and discussion.
Campaign Effectiveness: Brands can assess the effectiveness of specific social media campaigns and content by tracking changes in their share of social metrics. This helps in measuring campaign success and ROI.
Content Promotion: Brands can promote content that receives a high share of reposts to a broader audience, increasing its reach and engagement.
Influencer and Partnership Opportunities: Brands can identify individuals or accounts with a high share of reposts, potentially indicating influencers or partners with a strong presence in the brand's niche.
User-Generated Content: A high share of reposts may indicate that users are creating content related to the brand. Brands can leverage user-generated content for marketing and promotional purposes.
Ad Campaign Optimization: Brands can optimize their advertising campaigns by promoting content that has a high share of social, as it is likely to resonate with a broader audience.

Post Sharing - Rate

What is this metric cluster?

The Post Sharing - Rate metric cluster is a composite metric that seeks to assess how likely are a brand’s social posts to drive the brand’s audience to share the brand’s message with others on the Facebook and X social media platforms.

How is this metric cluster calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Facebook Shares - Rate: The Facebook Shares - Rate metric seeks to assess how likely are a brand’s social posts to drive the brand’s audience to share the brand’s message with others on the Facebook platform.
X Reposts - Rate: The X Reposts - Rate metric seeks to assess how likely are a brand’s social posts to drive the brand’s audience to share the brand’s message with others on the X platform.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Native social channel APIs (X and Facebook)

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Facebook Shares - Rate

What is this metric?

The Facebook Shares - Rate metric seeks to assess how likely are a brand’s social posts to drive the brand’s audience to share the brand’s message with others on the Facebook platform.

How is this metric calculated?

BlueOcean calculates a brand’s total number of Facebook ‘shares’ divided by a brand’s total count of Facebook followers.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Facebook native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Facebook Shares - Rate metric is a valuable resource for:

Virality and Reach: Shares significantly increase the organic reach of social media content. A high sharing rate indicates that a brand’s content resonates strongly with the audience, prompting them to share it with their own networks and thereby amplifying the brand’s message.
Brand Advocacy: High sharing rates are a sign of strong brand advocacy. Followers who share content are likely to be brand advocates, promoting a brand voluntarily and positively influencing their peers.
Engagement and Interaction: Shares are a form of active engagement. They indicate a deeper level of interaction with the content compared to ‘likes,’ reflecting a higher level of endorsement and engagement from followers.
Competitive Benchmarking: Comparing sharing rates with competitors provides insights into relative content performance. It helps marketing departments understand how well a brand’s content is performing in terms of shareability compared to others in the industry.
Social Proof: High sharing rates serve as social proof, enhancing the credibility and appeal of a brand. Content that is widely shared is perceived as valuable and trustworthy by a broader audience.
Audience Insights: Analyzing sharing patterns provides valuable insights into audience preferences and behaviors. It helps marketing departments understand what motivates followers to share content, which can inform future content creation and strategy.
Campaign Performance: Shares are a key performance indicator (KPI) for social media campaigns. Measuring sharing rates helps evaluate the success of campaigns and informs adjustments to improve future campaign performance.
Brand Awareness: Shares contribute to brand awareness by exposing a brand to new audiences. Each share extends the reach of the content beyond a brand’s immediate followers, increasing visibility and awareness.
Message Amplification: High sharing rates amplify the brand’s messages. This amplification is particularly valuable for important announcements, product launches, or campaigns that benefit from wide dissemination.
SEO Benefits: Shared content often generates backlinks and increased traffic to the brand’s website, contributing to improved search engine optimization (SEO) and higher search rankings.
Cost Efficiency: Organic shares reduce the need for paid promotion by naturally increasing content reach. This cost-effective method of content distribution can enhance the overall efficiency of marketing efforts.
Trend Analysis: Monitoring sharing rates over time helps identify trends and shifts in audience interests. Marketing departments can use this information to stay current with audience preferences and adapt content strategies accordingly.
Strategic Planning: Sharing metrics support long-term social media and content strategies. By consistently measuring and analyzing sharing rates, marketing departments can set realistic goals, track progress, and refine strategies to enhance content shareability.

Additional considerations where this metric can play a role:

Content Effectiveness: This metric helps identify the most effective types of content. By analyzing which posts are shared the most, marketing departments can understand what content themes, formats, and topics resonate most with the audience.
Viral Marketing: Content with high sharing rates has the potential to go viral. Marketing departments can leverage this information to create more shareable content, increasing the chances of achieving viral success.
Customer Journey: Understanding what content gets shared can help map the customer journey. It indicates which types of content are effective at different stages of the journey, from awareness to consideration to decision.

X Reposts - Rate

What is this metric?

The X Reposts - Rate metric seeks to assess how likely are a brand’s social posts to drive the brand’s audience to share the brand’s message with others on the X platform.

How is this metric calculated?

BlueOcean calculates a brand’s total number of X ‘reposts’ divided by a brand’s total count of X followers.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

X native social channel API

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? Yes

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The X Reposts - Rate metric is a valuable resource for:

Virality and Reach: Shares significantly increase the organic reach of social media content. A high sharing rate indicates that a brand’s content resonates strongly with the audience, prompting them to share it with their own networks and thereby amplifying the brand’s message.
Brand Advocacy: High sharing rates are a sign of strong brand advocacy. Followers who share content are likely to be brand advocates, promoting a brand voluntarily and positively influencing their peers.
Engagement and Interaction: Shares are a form of active engagement. They indicate a deeper level of interaction with the content compared to ‘likes,’ reflecting a higher level of endorsement and engagement from followers.
Competitive Benchmarking: Comparing sharing rates with competitors provides insights into relative content performance. It helps marketing departments understand how well a brand’s content is performing in terms of shareability compared to others in the industry.
Social Proof: High sharing rates serve as social proof, enhancing the credibility and appeal of a brand. Content that is widely shared is perceived as valuable and trustworthy by a broader audience.
Audience Insights: Analyzing sharing patterns provides valuable insights into audience preferences and behaviors. It helps marketing departments understand what motivates followers to share content, which can inform future content creation and strategy.
Campaign Performance: Shares are a key performance indicator (KPI) for social media campaigns. Measuring sharing rates helps evaluate the success of campaigns and informs adjustments to improve future campaign performance.
Brand Awareness: Shares contribute to brand awareness by exposing a brand to new audiences. Each share extends the reach of the content beyond a brand’s immediate followers, increasing visibility and awareness.
Message Amplification: High sharing rates amplify the brand’s messages. This amplification is particularly valuable for important announcements, product launches, or campaigns that benefit from wide dissemination.
SEO Benefits: Shared content often generates backlinks and increased traffic to the brand’s website, contributing to improved search engine optimization (SEO) and higher search rankings.
Cost Efficiency: Organic shares reduce the need for paid promotion by naturally increasing content reach. This cost-effective method of content distribution can enhance the overall efficiency of marketing efforts.
Trend Analysis: Monitoring sharing rates over time helps identify trends and shifts in audience interests. Marketing departments can use this information to stay current with audience preferences and adapt content strategies accordingly.
Strategic Planning: Sharing metrics support long-term social media and content strategies. By consistently measuring and analyzing sharing rates, marketing departments can set realistic goals, track progress, and refine strategies to enhance content shareability.

Additional considerations where this metric can play a role:

Content Effectiveness: This metric helps identify the most effective types of content. By analyzing which posts are shared the most, marketing departments can understand what content themes, formats, and topics resonate most with the audience.
Viral Marketing: Content with high sharing rates has the potential to go viral. Marketing departments can leverage this information to create more shareable content, increasing the chances of achieving viral success.
Customer Journey: Understanding what content gets shared can help map the customer journey. It indicates which types of content are effective at different stages of the journey, from awareness to consideration to decision.

Website Engagement

What is this metric group?

The Website Engagement metric group is a composite metric that assesses the level of a brand’s audience engagement with the brand’s web content.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Bounce Rate: The Bounce Rate metric measures the percentage of visitors who land on a brand's core URL and leave (i.e., "bounce") without interacting with any other page or element on that site.
Average Pages per Visit: The Average Pages per Visit metric calculates an estimate of the average number of pages users interact with per visit to a brand's website.
Average Visit Duration: The Average Visit Duration metric measures the average amount of time a customer spends on a brand’s site, from the time the customer arrives on the site to the time they depart.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Bounce Rate

What is this metric?

The Bounce Rate metric measures the percentage of visitors who land on a brand's core URL and leave (i.e., ‘bounce’) without interacting with any other page or element on that site.

How is this metric calculated?

BlueOcean generates an estimate of the percentage of visitors who land on a brand's core URL and leave (i.e., ‘bounce’) without interacting with any other page or element on that site down to the subdomain level.

Note: Calculations include only United States-originating visits.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Bounce Rate metric is valuable for several reasons:

Website Performance: Bounce rate is a crucial indicator of website performance. Understanding the bounce rate helps a brand assess the effectiveness of its website in retaining visitors.
User Experience: A high bounce rate may indicate issues with a brand's website user experience, such as slow loading times, confusing navigation, or irrelevant content. Brands can use this information to improve the user experience.
Content Relevance: Bounce rate can reveal whether the content on the website aligns with visitor expectations. If visitors are leaving quickly, the content may not meet their needs. Brands can adjust content to better match visitor intent.
Competitive Analysis: Comparing a brand's bounce rate to competitors allows it to assess its website's performance relative to the industry. Brands with lower bounce rates may have a competitive advantage.
Benchmarking: Bounce rate data is a benchmark for evaluating the effectiveness of website changes and marketing efforts. Brands can track how changes impact bounce rates over time.
Budget Allocation: Brands can make more informed decisions about budget allocation for website development, content creation, and digital marketing based on bounce rate insights.
Customer Insights: Bounce rate data can provide insights into visitor behavior and preferences. Brands can use this information to tailor their website to better meet customer expectations.

Additional considerations where this metric can play a role:

Conversion Rate Optimization: A lower bounce rate is often associated with higher conversion rates. Brands can use bounce rate data to identify pages with high bounce rates and work on strategies to convert more visitors into customers or leads.
Content Strategy: Brands can refine their content strategy based on bounce rate data. High bounce rates on specific pages may indicate the need for content optimization or changes in content topics.
Ad Campaign Assessment: Bounce rate data helps evaluate the performance of online advertising campaigns. High bounce rates after clicking on ads may suggest that the ad's landing page needs improvement.
Mobile Optimization: With the increasing use of mobile devices, bounce rate data can indicate whether the website is mobile-friendly. Brands can optimize their sites for mobile users to reduce bounce rates.
SEO Impact: High bounce rates can negatively affect SEO rankings. Brands can use bounce rate data to identify pages that need improvement to enhance SEO performance.
Budget Allocation: Brands can make more informed decisions about budget allocation for website development, content creation, and digital marketing based on bounce rate insights.
Customer Insights: Bounce rate data can provide insights into visitor behavior and preferences. Brands can use this information to tailor their website to better meet customer expectations.

Average Pages per Visit

What is this metric?

The Average Pages per Visit metric calculates an estimate of the average number of pages users interact with per visit to a brand's website.

How is this metric calculated?

Utilizing customer-identified URLs, BlueOcean develops an estimated average number of pages per visit at the domain and subdomain level (where available) for each brand in the cohort.

Notes:

This information is for U.S.-based visitors
Sites with no visitors are assigned a zero

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Average Pages per Visit metric is a valuable resource for:

User Engagement: A higher average suggests that users are more engaged and consume more content on a brand's website. This could indicate that a brand's content is resonating well with the audience or their website's user experience is good, prompting users to explore further.
Content Strategy Evaluation: If a brand has a content marketing strategy, the average pages per visit can help determine if users find the content valuable and consume more of it.
Website Design & User Experience: If a competitor has a notably higher average pages per visit, it might be worthwhile to study their site's design, navigation, and user experience for potential improvements.
Sales Funnel Efficiency: For e-commerce or service-based websites, users often navigate through multiple pages in the conversion process. A higher average can suggest a more effective sales funnel. A lower average might indicate users dropping off earlier in the process.
Potential Issues Identification: A sudden drop in average pages per visit could indicate potential technical problems with the website, like slow load times, broken links, or other usability issues.
Comparison with Competitors: Brands can gauge where they stand in the industry. If a brand's average is significantly lower, it could signal a need for content improvements, better site navigation, or user experience enhancements. Conversely, if it's higher, it might indicate that a brand is doing something right that can be further capitalized upon.
Content & Campaign Adjustments: If a brand is testing new types of content, landing pages, or campaigns, monitoring any changes in this metric can help gauge the effectiveness of these tests.
Retention Strategies: For brands with loyalty programs or other retention-focused strategies, a consistent or increasing average pages per visit could indicate that these strategies are working, while a decrease might suggest that members are becoming less engaged.

Additional considerations where this metric can play a role:

Ad Budget Allocation: If a brand is investing in paid traffic, and users from these campaigns have a high average pages per visit, it could validate the effectiveness of ad targeting and campaign messaging. On the other hand, low engagement could prompt a re-evaluation of the advertising strategy.
Audience Insights: By segmenting average pages per visit by demographics or other audience categories, brands can get insights into which audience segments are more engaged and tailor content or campaigns accordingly.

Average Visit Duration

What is this metric?

The Average Visit Duration metric measures the average amount of time a customer spends on a brand’s site in seconds, from the time the customer arrives on the site to the time they depart.

How is this metric calculated?

BlueOcean takes customer-provided brand URLs and creates an average of each provider's estimated time on site in seconds for each URL.

Note: This metric only captures visits from the US region at the domain and subdomain levels (where available).

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Semrush
SimilarWeb

Data Source Update Frequency: Monthly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Average Visit Duration metric is a valuable resource for:

User Engagement Assessment: Average website visit duration is an indicator of how engaged visitors are with a brand's website. Brands can assess whether visitors spend sufficient time on their sites to engage with content and offerings.
Operational Benchmarking: Brands can understand site traffic month-over-month and benchmark performance, helping to understand fluctuations and trends in engagement with a brand's website.
Content Relevance: Longer visit durations often suggest visitors find the website's content relevant and engaging. Brands can use this data to gauge the effectiveness of their content in holding visitors' interest.
User Experience: A longer visit duration may indicate a positive user experience, including easy navigation and compelling design. Brands can use this information to improve the website's user interface and experience.
Competitive Analysis: Comparing visit duration with competitors helps brands assess their website's performance relative to others in the same market. Brands with longer visit durations may have a competitive advantage in user engagement.
SEO Performance: When ranking websites, Google and other search engines consider user engagement metrics, including visit duration. Brands can use this data to improve their SEO efforts and search engine visibility.

Additional considerations where this metric can play a role:

Conversion Optimization: Brands can analyze visit duration data to understand which pages or content are most engaging. This information can be used to optimize conversion strategies and lead visitors toward desired actions, such as making a purchase or filling out a contact form.
Content Strategy: Brands can use visit duration data to refine their content strategy. If specific content or pages have significantly shorter visit durations, it may indicate areas for improvement or content that needs adjustment.
Audience Insights: Understanding how long visitors spend on the website can provide insights into their behavior and preferences. Brands can tailor their content and offerings to better match visitor expectations.
Mobile Optimization: Brands can assess whether visit durations differ between desktop and mobile users. This data can inform mobile optimization efforts to ensure a positive experience for all visitors.
Marketing Campaign Assessment: Visit duration data can help evaluate the effectiveness of marketing campaigns. Brands can assess whether campaign landing pages are successful in keeping visitors engaged.
Ad Campaign ROI: Brands running online advertising campaigns can assess the ROI by analyzing visit duration on landing pages. Longer visit durations may indicate a more successful ad campaign.
User Journey Analysis: Brands can analyze the user journey through the website by tracking visit duration on different pages. This information can help identify potential drop-off points and areas for optimization.

Trust

What is this factor?

The Trust factor is a composite metric that synthesizes multiple data points that, when combined, seek to assess whether a brand’s defining attributes emotionally touch its target audience. This factor is BlueOcean's version of "Brand Love," or NPS, but without a survey.

How is this factor calculated?

BlueOcean computes a proprietary weighted average of the following sub-factors by brand:

Audience Reviews: The Audience Reviews sub-factor is a composite metric that assess overall audience support for a brand as evidenced through audience reviews.
Employee Reviews: The Employee Reviews sub-factor is a composite metric that assesses overall employee satisfaction with, and advocacy for, the brand.
News: The News sub-factor is a composite metric that assesses the news coverage (volume and sentiment) of a brand.

Data source: BlueOcean-trained Proprietary Data Model considering estimated data from:

Audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.
Glassdoor
DiffBot Knowledge Graph

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

Audience Reviews

What is this sub-factor?

The Audience Reviews sub-factor is a composite metric that assesses overall audience support for a brand as evidenced through audience reviews.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Review Sentiment: The Review Sentiment metric group examines audience review text to assess the level of positive or negative sentiment.
Review Ratings: The Review Ratings metric group assesses the numerical audience review ratings to determine audience support.
Review Count: The Reviews Count metric measures the number of audience reviews published across various industry-standard review sites for a particular brand/sub-brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A Brand's Audience Reviews
A Brand’s Article-based Review Content

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Review Sentiment

What is this metric group?

The Review Sentiment metric group examines audience review text to assess the level of positive or negative sentiment.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Average Audience Review Sentiment - The Average Audience Review Sentiment metric measures the overall average positive or negative sentiment expressed across a brand's audience review content.
Volume-adjusted Audience Review Sentiment: The Volume-adjusted Audience Review Sentiment metric combines a brand's average audience review sentiment with a brand's volume of customer reviews to gauge the level of confidence and reliability in a brand's sentiment scores.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Average Audience Review Sentiment

What is this metric?

The Average Audience Review Sentiment metric measures the overall average positive or negative sentiment expressed across a brand's audience review content.

How is this metric calculated?

BlueOcean determines a weighted average sentiment by determining the average sentiment at the review level (as a whole), as well as the sentiment of each phrase individually within a review, then average those two scores across all tracked reviews.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based review content.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Average Audience Review Sentiment metric is a valuable resource for:

Customer Feedback Analysis: It shows how customers perceive the brand and its competitors. Understanding sentiment helps brands gauge customer satisfaction and identify areas for improvement.
Competitive Benchmarking: Brands can compare their average review sentiment to that of competitors. This benchmarking allows brands to assess their emotional positioning relative to others in the same market.
Reputation Management: Positive sentiment in audience reviews can positively affect a brand's online reputation. Brands can leverage positive reviews and ratings in marketing efforts and address negative sentiment to manage their reputation effectively.
Customer Loyalty: Brands with positive review sentiment are likely to have more loyal customers. Monitoring sentiment helps in nurturing and retaining customer relationships.
Risk Management: Negative sentiment in reviews can be an early warning sign of issues or crises. Brands can use sentiment data to address problems promptly and prevent reputational damage.

Additional considerations where this metric can play a role:

Content and Messaging Strategy: Brands can tailor their content and messaging to align with the prevailing sentiment themes that resonate most with their audience. If competitors are excelling in certain areas, it may be an opportunity for differentiation.
Product Development: Customer feedback in reviews often contains suggestions and insights for product or service improvements. Brands can use this information to guide product development efforts and align offerings with customer expectations.
Conversion Optimization: Positive reviews and sentiment can influence potential customers' purchasing decisions. Brands can leverage this data to optimize their conversion strategies.
Marketing Strategy: Brands can use positive sentiment and reviews in marketing materials and campaigns to build trust and credibility with potential customers.
Content Quality Improvement: If sentiment analysis reveals recurring issues or concerns in reviews, brands can work on improving the quality and relevance of their products, services, or content.
Long-Term Strategy: Sentiment data can inform the brand's long-term strategic planning, ensuring that emotional resonance remains a key element of the brand's identity.
Customer Insights: Sentiment analysis provides insights into customer emotions and preferences. Brands can use this information to tailor their offerings and customer engagement strategies accordingly.

Volume-adjusted Audience Review Sentiment

What is this metric?

The Volume-adjusted Audience Review Sentiment metric combines a brand's average audience review sentiment with a brand's volume of customer reviews to gauge the level of confidence and reliability in a brand's sentiment scores.

How is this metric calculated?

BlueOcean computes a score for a brand based on the weighted averages of a brand's count of audience reviews and the average sentiment of those reviews. This measurement allows users to gauge the level of confidence and reliability in a brand's sentiment scores.

Illustrative Analogy: "The Yelp Scenario" - if a customer compares two restaurants on Yelp and finds that Restaurant A has a 5-star rating but only 10 reviews, and Restaurant B has a 4-star rating with 2,000 reviews, then -

Given the larger sample size, the customer is likely to have a greater degree of confidence in Restaurant B's ratings over Restaurant A's ratings.
The potential volatility in Restaurant B's scores is lower than in Restaurant A's; e.g., a single 'bad' review shifts Restaurant B's scores less than a bad review would for Restaurant A

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot) and/or article-based audience reviews.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Volume-adjusted Audience Review Sentiment metric is a valuable resource for:

Holistic Understanding: While the average sentiment indicates how positively or negatively the brand is perceived, the volume of reviews indicates how widespread these sentiments are.
Competitive Analysis: Comparing sentiment and volume against competitors allows brands to gauge their market position in terms of quality perception and reach.
Strategy Formulation: If sentiment is positive, but volume is low, the focus might shift to increasing brand awareness. Conversely, if sentiment is negative but volume is high, there's an urgent need to address product or service issues.
Feedback Loop: Analyzing the sentiment of reviews can highlight areas for improvement or potential opportunities. At the same time, volume might indicate the urgency or significance of such feedback.
Trust Building: High positive sentiment with considerable review volume can testify to brand quality and reliability, which can be highlighted in marketing campaigns to build trust.
Trend Analysis: Monitoring changes in sentiment and volume over time can identify trends, helping brands anticipate market shifts or adjust strategies accordingly.

Additional considerations where this metric can play a role:

ROI Measurement: By correlating marketing campaigns or initiatives with sentiment and review volume shifts, brands can assess the return on investment and the effectiveness of specific strategies.
Risk Management: A sudden spike in reviews with predominantly negative sentiment can signal a potential PR crisis, allowing for timely intervention.
Identifying Advocates and Detractors: High positive sentiment from a segment of reviewers can identify potential brand advocates. Similarly, consistently negative sentiments can spotlight detractors needing engagement or issues needing redressal.
Optimizing Marketing Spend: If a specific product line or service shows notably better sentiment and volume, it might warrant a higher allocation of marketing resources.
Product and Service Development: Reviews, especially those with strong sentiments, often provide specific feedback. This feedback can be instrumental in refining offerings or developing new products/services.
Community Building: Engaging with positive and negative reviews, especially when there's high volume, can foster a sense of community, show customers that their feedback is valued, and help in reputation management.
Influencer Engagement: Reviews with strong sentiments (positive or negative) might come from industry influencers or thought leaders. Recognizing and engaging with these individuals can lead to potential collaborations or damage control respectively.

Review Ratings

What is this metric group?

The Review Ratings metric group assesses the numerical audience review ratings to determine audience support.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Average Audience Review Rating: The Average Audience Review Rating metric measures the overall satisfaction level a brand's audience has with the brand on a scale of 1 to 5.
Volume-Adjusted Audience Review Rating: The Volume-adjusted Audience Review Rating metric combines a brand's average audience review rating (1 to 5 scale) with a brand's volume of customer reviews to gauge the level of confidence and reliability in a brand's rating.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand’s audience reviews, including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot.

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Average Audience Review Rating

What is this metric?

The Average Audience Review Rating metric measures the overall satisfaction level a brand's audience has with the brand on a scale of 1 to 5.

How is this metric calculated?

BlueOcean aggregates and averages audience review ratings (typically on a 1-5 scale) from multiple industry-standard audience review sites.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Audience Reviews, including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How do I use this data to my advantage?

The Average Audience Review Rating metric is a valuable resource for:

Customer Perception: The average review rating provides insight into how customers perceive the brand and its competitors. It is a key indicator of customer satisfaction and sentiment.
Competitive Benchmarking: Brands can compare their average review rating to that of competitors to assess their standing in the market. This benchmarking helps brands understand how they stack up against others regarding customer satisfaction.
Product and Service Quality: The average review rating can indicate the quality of a brand's products or services relative to competitors. Brands can use this data to identify areas for improvement or further investment.
Reputation Management: A higher average review rating can positively affect a brand's online reputation. Brands can use positive reviews in marketing efforts and address negative reviews to manage their reputation effectively.
Conversion Optimization: Positive reviews and a high average review rating can influence potential customers' purchasing decisions. Brands can leverage this data to optimize their conversion strategies.
Competitive Advantage & Marketing Efforts: A higher average review rating can be a competitive advantage. Brands can promote positive reviews and ratings to distinguish themselves in the market and build trust and credibility with potential customers.
Customer Retention: Brands with high review ratings are more likely to retain loyal customers. Monitoring review ratings helps in nurturing and retaining customer relationships.

Additional considerations where this metric can play a role:

Content Strategy: Brands can analyze the content of reviews to identify common themes in customer feedback. This information can inform content strategy and help address customer concerns or preferences.
Product Development: Customer feedback in reviews often contains suggestions and insights for product or service improvements. Brands can use this information to guide product development efforts.
Risk Management: Brands can identify and address negative reviews promptly to mitigate potential risks to their reputation.
Long-Term Strategy: Average review ratings can inform the brand's long-term strategic planning, ensuring that customer satisfaction and quality remain central to the brand's identity.

Volume-adjusted Audience Review Rating

What is this metric?

The Volume-adjusted Audience Review Rating metric combines a brand's average audience review rating (1 to 5 scale) with a brand's volume of customer reviews to gauge the level of confidence and reliability in a brand's rating.

How is this metric calculated?

BlueOcean computes a score for a brand based on the weighted averages of a brand's count of audience reviews and the average rating (1 to 5 scale) of those reviews. This measurement allows users to gauge the level of confidence and reliability in a brand's ratings.

Given the larger sample size, the customer is likely to have a greater degree of confidence in Restaurant B's ratings over Restaurant A's ratings.
The potential volatility in Restaurant B's scores is lower than in Restaurant A's; e.g., a single 'bad' review shifts Restaurant B's scores less than a bad review would for Restaurant A

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Audience Reviews, including those from sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot.

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Volume-adjusted Audience Review Rating metric is a valuable resource for:

Resilience: This metric can be an indication of resiliency; those brands with large volumes of high-quality ratings are less impacted by a negative review when compared to a brand with fewer and/or lower-value reviews.
Quality and Perception: The average rating indicates the perceived quality of a brand's product, service, or content. A high average suggests positive reception, while a low average indicates dissatisfaction.
Market Traction and Visibility: The volume of reviews helps gauge how much traction or visibility the brand has in the market. A high number of reviews often implies that the brand or its offerings are widely used or discussed.
Competitive Positioning: By comparing the average rating and volume of reviews against competitors, brands can understand their standing in the market. For example, a high average rating and a high review volume indicate strong market leadership.
Feedback Analysis: A high average rating but low volume suggests that while the current users are satisfied, there might be a need to increase outreach or awareness to grow the customer base. Conversely, a high volume but low average rating indicates widespread usage but potential issues with the product or service that need addressing.
Informed Marketing Strategy: Understanding where a brand lacks (in rating or volume) can guide marketing efforts. For instance, marketing campaigns could focus on broader awareness if volume is low. If ratings are low, the focus might shift to improving product quality or addressing specific concerns.
Risk and Opportunity Assessment: High volume but decreasing average rating can be an early sign of emerging issues, allowing for timely interventions. Conversely, suppose a competitor has a declining rating. In that case, it presents an opportunity for a brand to step in and appeal to disenchanted customers.
Consumer Trust and Advocacy: A high average rating, especially with a high review volume, fosters consumer trust and can be leveraged in marketing campaigns to showcase consumer satisfaction and advocacy.

Additional considerations where this metric can play a role:

Refine Product or Service Offerings: Reviews, especially detailed ones, often provide specific feedback. This can guide product development or service enhancements based on what the audience values or finds lacking.
Resource Allocation: If a specific product or service garners a significantly higher rating and volume than others, it might warrant more marketing resources to further capitalize on its success.
Influencer and Partnership Opportunities: Certain reviews might come from influential figures or entities in the industry. Recognizing and engaging with these reviewers can open doors for collaborations or partnerships.
Crisis Management: A sudden drop in average rating, especially with a spike in review volume, can indicate a potential crisis or widespread issue, necessitating immediate attention.
ROI Analysis: Cross-referencing the average rating and review volume with marketing spend can help assess the return on investment of various marketing initiatives.

Review Count

What is this metric group?

The Review - Count metric group measures the number of audience reviews published across various industry-standard review sites for a particular brand/sub-brand.

How is this metric group calculated?

BlueOcean computes a proprietary calculation of the following metric:

Audience Reviews - Count: The Audience Reviews - Count metric measures the number of audience reviews published across various industry-standard review sites for a particular brand/sub-brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot).

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Audience Reviews - Count

What is this metric?

The Audience Reviews - Count metric measures the number of audience reviews published across various industry-standard review sites for a particular brand/sub-brand.

How is this metric calculated?

This metric assesses the total number of audience reviews published for a brand across industry-standard review sites, including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot. This metric excludes article-based reviews or those posted on unsupported sites.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

A brand's audience reviews (including sites like G2, TrustRadius, Gartner Peer Insights, and Trustpilot).

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Audience Reviews - Count metric is valuable for several reasons:

Customer Feedback: Audience reviews provide direct feedback from customers. Knowing the review counts helps a brand gauge customer engagement and satisfaction. More reviews often indicate a higher level of customer interaction and feedback.
Competitive Analysis: Comparing review counts with competitors allows a brand to assess its performance relative to others in the same market. Brands with more reviews may have a more substantial presence and customer engagement.
Benchmarking and Goal Setting: Tracking review counts over time allows brands to set goals for increasing customer engagement and improving their online reputation. It also serves as a benchmark for measuring progress.

Additional considerations where this metric can play a role:

Rating Trends: In addition to review counts, monitoring the average ratings and sentiment of reviews can provide insights into how well the brand and competitors are meeting customer expectations. Brands can identify areas for improvement based on customer feedback.
Marketing and Reputation Management: Positive reviews can be used in marketing materials and campaigns to build trust with potential customers. Negative reviews can be addressed and used as opportunities for improvement.
Identifying Trends and Issues: Analyzing the content of reviews can help brands identify emerging trends, recurring issues, or common customer concerns. This information can guide strategic decision-making.
Competitive Strategies: Brands can learn from competitors' reviews and customer feedback. Understanding what competitors are doing well or where they are falling short can inform competitive strategies.
Customer Engagement: Brands can engage with customers who leave reviews to address concerns, offer solutions, or express gratitude for positive feedback. This engagement can foster a stronger customer-brand relationship.

Employee Reviews

What is this sub-factor?

The Employee Reviews sub-factor is a composite metric that assesses overall employee satisfaction with, and advocacy for, a brand.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

Average Ratings: The Average Ratings metric group is a composite metric that assesses overall employee advocacy for a brand.
Volume-adjusted Average Ratings: The Volume-adjusted Average Ratings metric group is a composite metric that combines a brand’s employee support rating metrics with the volume of employee reviews to gauge the level of confidence and reliability in a brand's employee ratings.
Average Ratings Trend: The Average Ratings Trend metric group is a composite metric that assesses the strength of a brand's employee advocacy over time.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Average Ratings

What is this metric group?

The Average Ratings metric group is a composite metric that assesses overall employee advocacy for a brand.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Employee Support - Average Overall Rating: The Employee Support - Average Overall Rating metric measures the overall satisfaction level a brand's employees have with the brand on a scale of 1 to 5.
Employee Support - Average Positive Business Outlook Rating: The Employee Support - Average Positive Business Outlook Rating metric measures the average rating an employee provides regarding their positive or negative belief on the future outlook of their employer.
Employee Support - Average Employer Recommendation Rating: The Employee Support - Average Employer Recommendation Rating metric measures the average rating an employee gives to recommend their employer.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Employee Support - Average Overall Rating

What is this metric?

The Employee Support - Average Overall Rating metric measures the overall satisfaction level a brand's employees have with the brand on a scale of 1 to 5.

How is this metric calculated?

BlueOcean computes an average rating score on a scale of 1 to 5 for a given brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Average Overall Rating metric is a valuable resource for:

Brand Reputation: High average employee ratings enhance the overall brand reputation. Positive internal feedback signals to external stakeholders, including customers and investors, that the brand is well-managed and has a healthy work environment.
Competitive Benchmarking: Comparing average employee ratings with those of competitors helps marketing departments understand where a brand stands in terms of employee satisfaction. This benchmarking can identify areas of strength and opportunities for improvement.
Employee Advocacy: Employees who rate their employer highly are more likely to become brand advocates. They can promote a brand positively through word-of-mouth, social media, and professional networks, amplifying marketing efforts.
Customer Trust and Loyalty: Brands known for treating their employees well often gain greater trust and loyalty from customers. High employee ratings can enhance a brand’s image and drive customer loyalty, positively impacting sales and market share.
Content Marketing: Positive employee experiences and high average ratings can be used in content marketing to humanize a brand and highlight its values. Employee testimonials and stories can be featured in blogs, videos, and social media posts.
Stakeholder Communication: Sharing high average employee ratings with stakeholders demonstrates a brand’s commitment to employee satisfaction and support, enhancing stakeholder trust and confidence.
Corporate Social Responsibility (CSR): High average ratings can enhance a brand’s CSR profile, showing that the brand values and supports its workforce, resonating well with socially conscious consumers and partners.
Brand Differentiation: High average employee ratings differentiate a brand from competitors. Highlighting these ratings can set a brand apart in both the job market and consumer market.

Additional considerations where this metric can play a role:

Employer Branding: Strong average ratings can be leveraged in employer branding efforts to attract top talent. Potential employees are more likely to be drawn to brands with high ratings from current employees, indicating a supportive and satisfying workplace.
Talent Acquisition: High average ratings can be a powerful tool in recruitment marketing. Prospective employees are more likely to consider and apply to brands where current employees express high levels of satisfaction.
Crisis Management: Understanding employee sentiment through average ratings helps anticipate and manage potential internal crises. Addressing employee concerns proactively can prevent negative public relations issues.
Employee Retention: Monitoring average ratings helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these ratings, ensuring that employees feel heard and valued.
Cultural Insights: Understanding employee feedback through average ratings provides insights into a brand’s culture, informing broader marketing and branding strategies to ensure alignment with internal values and practices.
Long-Term Strategy: High average employee ratings indicate a strong and positive workplace culture, crucial for long-term strategic planning and maintaining a competitive edge in the market.

Employee Support - Average Positive Business Outlook Rating

What is this metric?

The Employee Support - Average Positive Business Outlook Rating metric measures the average rating an employee provides regarding their positive or negative belief on the future outlook of their employer.

How is this metric calculated?

BlueOcean computes an average positive business outlook rating percentage-based score for a given brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Average Positive Business Outlook Rating metric is a valuable resource for:

Employee Advocacy: Employees who are optimistic about a brand’s future are more likely to become brand advocates. They can promote a brand through word-of-mouth, social media, and professional networks, enhancing marketing efforts.
Brand Reputation: High positive business outlook ratings reflect well on a brand, indicating that employees are optimistic about the company's future. This can enhance a brand's overall reputation among customers, investors, and potential employees.
Competitive Benchmarking: Comparing positive business outlook ratings with those of competitors helps marketing departments understand where a brand stands in terms of employee optimism. This benchmarking can identify areas of strength and opportunities for improvement.
Customer Trust and Loyalty: Customers often feel more confident and loyal to brands that have a positive internal culture. High business outlook ratings can enhance customer trust and loyalty, directly impacting brand reputation and sales.
Content Marketing: Positive employee experiences and high business outlook ratings can be used in content marketing to humanize a brand and showcase its positive work environment and future prospects. Employee stories can be featured in blogs, videos, and social media posts.
Corporate Social Responsibility (CSR): High ratings can enhance a brand’s CSR profile, showing that a brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: High positive business outlook ratings differentiate a brand from competitors. Highlighting these metrics can set a brand apart in both the job market and consumer market.
Cultural Insights: Understanding employee feedback provides insights into a brand’s culture, informing broader marketing and branding strategies to ensure they align with internal values and practices.

Additional considerations where this metric can play a role:

Employer Branding: Positive business outlook ratings can be leveraged in employer branding efforts to attract top talent. Highlighting strong outlook ratings can make the brand more appealing to prospective employees who seek job security and growth opportunities.
Talent Acquisition: High positive business outlook ratings can be a powerful tool in recruitment marketing. Prospective employees are more likely to be attracted to brands where current employees feel optimistic about the future.
Crisis Management: Understanding the significance of these ratings helps in anticipating and managing potential internal crises. Addressing employee concerns proactively can prevent negative public relations issues.
Stakeholder Communication: Sharing high business outlook ratings with stakeholders demonstrates a brand’s strong internal environment and future prospects, enhancing stakeholder trust and confidence.
Employee Retention: Monitoring positive business outlook ratings helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these ratings, ensuring that employees feel informed and valued.
Long-Term Strategy: High positive business outlook ratings indicate a strong and positive workplace culture, which is crucial for long-term strategic planning and maintaining a competitive edge in the market.

Employee Support - Average Employer Recommendation Rating

What is this metric?

The Employee Support - Average Employer Recommendation Rating metric measures the average rating an employee gives to recommend their employer.

How is this metric calculated?

BlueOcean computes an average employer recommendation percentage-based score for a given brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Average Employer Recommendation Rating metric is a valuable resource for:

Employee Advocacy: Employees who highly recommend their employer are more likely to become brand advocates. They can promote a brand through word-of-mouth, social media, and professional networks, amplifying marketing efforts.
Brand Reputation: High employer recommendation ratings contribute to a positive brand reputation. They reflect well on a brand’s internal environment and can enhance a brand's image in the eyes of customers, investors, and potential employees.
Competitive Benchmarking: Comparing employer recommendation ratings with competitors helps marketing departments understand where a brand stands in terms of employee satisfaction and support. This comparison can identify areas for improvement and highlight competitive advantages.
Customer Trust and Loyalty: Customers often feel more connected to brands that treat their employees well. High employer recommendation ratings can enhance customer trust and loyalty, directly impacting brand reputation and sales.
Content Marketing: Positive employee experiences and high recommendation ratings can be used in content marketing to humanize a brand and showcase its values. Employee testimonials can be featured in blogs, videos, and social media posts.
Corporate Social Responsibility (CSR): High ratings can enhance a brand’s CSR profile, showing that a brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: High employer recommendation ratings differentiate a brand from competitors. Highlighting these metrics can set a brand apart in both the job market and consumer market.

Additional considerations where this metric can play a role:

Employer Branding: Insights into how employees rate their willingness to recommend the employer can enhance employer branding efforts. Highlighting strong recommendation ratings can attract top talent and differentiate a brand in the job market.
Talent Acquisition: High employer recommendation ratings can be a powerful tool in recruitment marketing. Prospective employees are more likely to consider a brand where current employees recommend working.
Crisis Management: Understanding the significance of these ratings helps anticipate and manage potential internal crises. Addressing employee concerns proactively can prevent negative public relations scenarios.
Stakeholder Communication: Sharing high employer recommendation ratings with stakeholders demonstrates a brand’s commitment to employee satisfaction and support, enhancing stakeholder trust and confidence.
Employee Retention: Monitoring employer recommendation ratings helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these ratings, ensuring that employees feel heard and valued.
Cultural Insights: Understanding employee feedback provides insights into a brand’s culture, which can inform broader marketing and branding strategies to ensure they align with internal values and practices.
Long-Term Strategy: High employer recommendation ratings indicate a strong and positive workplace culture, crucial for long-term strategic planning and maintaining a competitive edge in the market.

Volume-adjusted Average Ratings

What is this metric group?

The Volume-adjusted Average Ratings metric group is a composite metric that combines a brand’s employee support rating metrics with the volume of employee reviews to gauge the level of confidence and reliability in a brand's employee ratings.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Employee Support - Volume-adjusted Overall Rating: The Employee Support - Volume-adjusted Overall Rating metric combines a brand's average employee review rating (1 to 5 scale) with a brand's count of employee reviews to gauge the level of confidence and reliability in employee’s rating of a brand.
Employee Support - Volume-adjusted Positive Business Outlook Rating: The Employee Support - Volume-adjusted Positive Business Outlook Rating metric combines a brand's average rating provided by employees regarding their positive or negative belief on the future outlook of their employer with a brand's count of employee reviews to gauge the level of confidence and reliability in employee’s rating of a brand’s business outlook.
Employee Support - Volume-adjusted Employer Recommendation Rating: The Employee Support - Volume-adjusted Employer Recommendation Rating metric combines a brand's average employee review employer recommendation rating with a brand's count of employee reviews to gauge the level of confidence and reliability in employee’s recommendation of their employer.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Employee Support - Volume-adjusted Overall Rating

What is this metric?

The Employee Support - Volume-adjusted Overall Rating metric combines a brand's average employee review rating (1 to 5 scale) with a brand's count of employee reviews to gauge the level of confidence and reliability in employee’s rating of a brand.

How is this metric calculated?

BlueOcean computes a score for a brand based on the weighted average of a brand's count of employee reviews and the average rating (1 to 5 scale) of those reviews. This measurement allows users to gauge the level of confidence and reliability in a brand's employee-based ratings.

Illustrative Analogy: "The Glassdoor Scenario" - if a person compares two companies on Glassdoor and finds that Company A has a 5-star rating but only 10 reviews, and Company B has a 4-star rating with 2,000 reviews, then -

Given the larger sample size, the person is likely to have a greater degree of confidence in Company B's ratings over Company A's ratings.
The potential volatility in Company B's scores is lower than in Company A's; e.g., a single 'bad' review shifts Company B's scores less than a bad review would for Company A

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Volume-adjusted Overall Rating metric is a valuable resource for:

Employee Advocacy: Employees who rate their employer highly are more likely to become brand advocates. They can help promote a brand through word-of-mouth, social media, and professional networks, boosting marketing efforts.
Brand Differentiation: High employer ratings and review counts differentiate the brand from competitors. Highlighting these metrics can set a brand apart in both the job market and consumer market.
Comprehensive Insight: This metric combines both the average rating and the volume of reviews, offering a comprehensive view of employee sentiment. High average ratings with a significant number of reviews indicate widespread employee satisfaction and support.
Brand Reputation: High ratings, especially when supported by a large number of reviews, contribute to a positive brand reputation. This reflects well on a brand’s internal culture and can attract positive attention from customers, investors, and potential hires.
Competitive Benchmarking: Comparing these metrics with those of competitors helps the marketing department understand a brand's standing in terms of employee satisfaction. It identifies areas of strength and opportunities for improvement relative to competitors.
Customer Trust and Loyalty: Brands known for treating their employees well often earn greater trust and loyalty from customers. High employer ratings can enhance the brand’s image and drive customer loyalty.
Content Marketing: Positive employee experiences, reflected in high ratings and many reviews, can be used in content marketing to humanize a brand and highlight its values. Employee stories can be featured in blogs, videos, and social media posts.
Stakeholder Communication: Sharing high ratings and review counts with stakeholders demonstrates the company’s commitment to employee satisfaction and support, enhancing stakeholder trust and confidence.
Corporate Social Responsibility (CSR): High ratings and substantial review counts can enhance a brand’s CSR profile, showing that the brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.

Additional considerations where this metric can play a role:

Employer Branding: Strong ratings, along with a high review count, enhance employer branding efforts. Highlighting these metrics in recruitment materials can make a brand more appealing to prospective employees by showcasing a supportive and positive work environment.
Talent Acquisition: High ratings and numerous positive reviews can be powerful tools in recruitment marketing. Prospective employees are more likely to be attracted to brands with demonstrated employee satisfaction.
Crisis Management: Understanding the significance of these ratings helps in anticipating and managing potential internal crises. Addressing employee concerns proactively can prevent negative public relations issues.
Employee Retention: Monitoring these metrics helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these metrics, ensuring that employees feel heard and valued.
Cultural Insights: Understanding employee feedback provides insights into the brand’s culture, informing broader marketing and branding strategies to ensure they align with internal values and practices.
Long-Term Strategy: These metrics indicate a strong and positive workplace culture, which is crucial for long-term strategic planning and maintaining a competitive edge in the market.

Employee Support - Volume-adjusted Positive Business Outlook Rating

What is this metric?

The Employee Support - Volume-adjusted Positive Business Outlook Rating metric combines a brand's average rating provided by employees regarding their positive or negative belief on the future outlook of their employer with a brand's count of employee reviews to gauge the level of confidence and reliability in employee’s rating of a brand’s business outlook.

How is this metric calculated?

BlueOcean computes a score for a brand based on the weighted average of a brand's count of employee reviews and the percentage-based Average Positive Business Outlook rating of those reviews. This measurement allows users to gauge the level of confidence and reliability in employee’s beliefs regarding the positive business outlook of a given brand.

Given the larger sample size, the person is likely to have a greater degree of confidence in Company B's ratings over Company A's ratings.
The potential volatility in Company B's scores is lower than in Company A's; e.g., a single 'bad' review shifts Company B's scores less than a bad review would for Company A

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Volume-adjusted Positive Business Outlook Rating metric is a valuable resource for:

Employee Advocacy: Satisfied employees who have a positive outlook on a brand’s future are more likely to become brand advocates. They can help promote a brand through word-of-mouth, social media, and professional networks, enhancing marketing efforts.
Comprehensive Insight: This metric provides a thorough understanding of employee sentiment regarding a brand’s future. High positive business outlook ratings, combined with a substantial review count, indicate broad and consistent optimism among employees.
Brand Reputation: High ratings and significant review counts can enhance a brand's reputation. They reflect positively on the company’s internal environment and future prospects, making it more attractive to customers, investors, and potential employees.
Competitive Benchmarking: Comparing these metrics with those of competitors helps marketing departments understand where a brand stands in terms of employee confidence and outlook. This comparison can reveal areas of strength and opportunities for improvement.
Customer Trust and Loyalty: Customers often feel more confident and loyal to brands with a strong internal culture and positive employee sentiment. This can enhance the brand’s image and drive customer loyalty.
Content Marketing: Positive employee outlook and experiences can be used in content marketing to humanize a brand and highlight its positive work environment and future prospects.
Stakeholder Communication: Sharing positive business outlook ratings and review counts with stakeholders demonstrates a brand’s strong internal environment and future prospects, enhancing stakeholder trust and confidence.
Corporate Social Responsibility (CSR): High ratings and significant review counts can enhance a brand’s CSR profile, showing that a brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: High positive business outlook ratings and review counts differentiate a brand from competitors. Highlighting these metrics can set a brand apart in both the job market and consumer market.

Additional considerations where this metric can play a role:

Employer Branding: Strong positive business outlook ratings, especially with many reviews, can be leveraged in employer branding efforts. This can attract top talent by showcasing the company as a promising and supportive workplace.
Talent Acquisition: High positive business outlook ratings, supported by numerous reviews, can be a powerful tool in recruitment marketing. Prospective employees are likely to be attracted to companies with a positive future outlook.
Crisis Management: Understanding the significance of these ratings helps in anticipating and managing potential internal crises. Proactively addressing employee concerns can prevent negative public relations issues.
Employee Retention: Monitoring these metrics helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these metrics, ensuring that employees feel informed and valued.
Cultural Insights: Understanding employee feedback provides insights into a brand’s culture, informing broader marketing and branding strategies to ensure they align with internal values and practices.
Long-Term Strategy: These metrics indicate a strong and positive workplace culture, which is crucial for long-term strategic planning and maintaining a competitive edge in the market.

Employee Support - Volume-adjusted Employer Recommendation Rating

What is this metric?

The Employee Support - Volume Adjusted Employer Recommendation Rating metric combines a brand's average employee review employer recommendation rating with a brand's volume of employee reviews to gauge the level of confidence and reliability in employee’s recommendation of their employer.

How is this metric calculated?

BlueOcean computes a score for a brand based on the weighted averages of a brand's count of employee reviews and the average percentage-based employer recommendation rating of those reviews. This measurement allows brands to gauge the level of confidence and reliability in a brand's employees’ recommendation of a given brand.

Given the larger sample size, the person is likely to have a greater degree of confidence in Company B's ratings over Company A's ratings.
The potential volatility in Company B's scores is lower than in Company A's; e.g., a single 'bad' review shifts Company B's scores less than a bad review would for Company A

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Volume Adjusted Employer Recommendation Rating metric is a valuable resource for:

Employee Advocacy: Satisfied employees, as reflected by high ratings and many reviews, are more likely to become brand advocates. They can promote a brand through word-of-mouth, social media, and professional networks, amplifying marketing efforts.
Comprehensive Insight: Combining the average employer recommendation rating with the review count provides a more comprehensive understanding of employee sentiment. High ratings with a substantial number of reviews indicate consistent and widespread employee satisfaction.
Brand Reputation: High ratings, especially when backed by a significant number of reviews, enhance a brand's reputation. It shows that many employees positively endorse a brand, which can attract positive attention from customers, investors, and potential employees.
Competitive Benchmarking: Comparing these metrics with competitors allows marketing departments to benchmark a brand's performance in employee satisfaction and support. It identifies areas where a brand leads or lags behind competitors.
Customer Trust and Loyalty: Customers often prefer to support brands known for treating their employees well. High employer recommendation ratings can enhance customer trust and loyalty, directly impacting brand reputation and sales.
Content Marketing: Positive employee experiences and testimonials, especially those reflected in high ratings and numerous reviews, can be used in content marketing to humanize a brand and showcase its values.
Corporate Social Responsibility (CSR): High ratings and substantial review counts can enhance a brand’s CSR profile, showing that the brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: High employer recommendation ratings and review counts differentiate a brand from competitors. Highlighting these metrics can set a brand apart in both the job market and consumer market.
Cultural Insights: Understanding employee feedback provides insights into a brand’s culture, which can inform broader marketing and branding strategies to ensure they are aligned with internal values and practices.

Additional considerations where this metric can play a role:

Employer Branding: This data can strengthen employer branding efforts. Highlighting high recommendation ratings and substantial review counts in recruitment marketing materials can attract top talent and differentiate a brand as an attractive employer.
Talent Acquisition: High employer recommendation ratings with a significant number of reviews can be a powerful tool in recruitment marketing. Prospective employees are more likely to consider a brand with strong, broadly endorsed employee support.
Crisis Management: Understanding the significance of these ratings helps anticipate and manage potential internal crises. Addressing employee concerns proactively can prevent negative public relations scenarios.
Stakeholder Communication: Sharing employer recommendation ratings and review counts with stakeholders demonstrates a brand’s commitment to employee satisfaction and support, enhancing stakeholder trust and confidence.
Employee Retention: Monitoring these metrics helps identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from these metrics, ensuring that employees feel heard and valued.
Long-Term Strategy: These metrics indicate a strong and positive workplace culture, crucial for long-term strategic planning and maintaining a competitive edge in the market.

Average Ratings Trend

What is this metric group?

The Average Ratings Trend metric group is a composite metric that assesses the strength of a brand's employee advocacy over time.

How is this metric group calculated?

BlueOcean computes a proprietary weighted average of the following metrics:

Employee Support - Overall Rating Trend: The Employee Support - Overall Rating Trend metric measures the change in average overall rating (1 to 5) employees provide regarding their employer over time.
Employee Support - Positive Business Outlook Rating Trend: The Employee Support - Positive Business Outlook Rating Trend metric measures the average rating an employees’ provide regarding their positive or negative belief on the future outlook of their employer over time.
Employee Support - Employer Recommendation Rating Trend: The Employee Support - Employer Recommendation Rating Trend metric measures the average employer recommendation rating employees provide regarding their employer over time.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

Employee Support - Overall Rating Trend

What is this metric?

The Employee Support - Overall Rating Trend metric measures the change in average overall rating (1 to 5) employees provide regarding their employer over time.

How is this metric calculated?

BlueOcean computes a year-over-year comparison of a brand’s average Employee - Employer Support Rating (1 to 5 scale) score to determine the level of growth (or decline) in a brand’s employee-generated Employer Support Rating.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Overall Rating Trend metric is a valuable resource for:

Employee Advocacy: Satisfied employees are more likely to become brand advocates. They can help promote a brand through word-of-mouth, social media, and professional networks, amplifying marketing efforts.
Brand Reputation: High employer support ratings contribute to a positive brand reputation. A brand known for supporting its employees is often seen more favorably by consumers, investors, and potential hires.
Competitive Benchmarking: Comparing employer support ratings with competitors helps the marketing department understand where the brand stands in terms of employee satisfaction and support. This comparison can identify areas for improvement and opportunities to outperform competitors.
Customer Trust and Loyalty: Customers often feel more connected to brands that treat their employees well. High employer support ratings can translate into better customer service and enhance customer trust and loyalty.
Content Marketing: Positive employee experiences and testimonials can be used in content marketing to humanize a brand and showcase its values. Employee stories can be featured in blogs, videos, and social media posts.
Corporate Social Responsibility (CSR): High employer support ratings can enhance a brand’s CSR profile, showing that the brand values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: A strong employer support rating differentiates a brand from competitors. Highlighting high support ratings can set a brand apart in both the job market and consumer market.
Cultural Insights: Understanding employee feedback provides insights into a brand’s culture, which can inform broader marketing and branding strategies to ensure they are aligned with internal values and practices.

Additional considerations where this metric can play a role:

Employer Branding: Insights into how employees rate the support they receive from their employer can enhance employer branding efforts. Highlighting strong support ratings can attract top talent and differentiate the brand in the job market.
Talent Acquisition: High employer support ratings can be a powerful tool in recruitment marketing. Prospective employees are more likely to apply to companies known for providing strong support to their workforce.
Crisis Management: Understanding employee sentiment regarding employer support can help in anticipating and managing potential internal crises. Addressing issues early can prevent negative public relations scenarios.
Stakeholder Communication: Employer support ratings can be shared with stakeholders to demonstrate the company’s commitment to employee welfare, enhancing stakeholder trust and confidence.
Employee Retention: Monitoring these ratings can help identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from employer support ratings, ensuring that employees feel heard and valued.
Long-Term Strategy: High employer support ratings indicate a strong and positive workplace culture, which is crucial for long-term strategic planning and maintaining a competitive edge in the market.

Employee Support - Positive Business Outlook Rating Trend

What is this metric?

The Employee Support - Positive Business Outlook Rating Trend metric measures the average rating an employees’ provide regarding their positive or negative belief on the future outlook of their employer over time.

How is this metric calculated?

BlueOcean computes a year-over-year comparison of a brand’s average Employee - Positive Business Outlook Rating score to determine the level of growth (or decline) in a brand’s employee-generated Employee - Positive Business Outlook Rating.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Positive Business Outlook Rating Trend metric is a valuable resource for:

Employee Advocacy: Employees with a positive outlook are more likely to advocate for a brand, promoting it through word-of-mouth, social media, and professional networks. This organic promotion can enhance a brand’s visibility and credibility.
Employee Confidence and Morale: A positive business outlook rating indicates high employee confidence in a brand’s future. This confidence can translate into higher morale, engagement, and productivity, all of which are beneficial for a brand's operations and culture.
Brand Image and Reputation: A strong positive business outlook enhances a brand’s image as a stable and forward-thinking employer. This perception can bolster a brand's reputation among customers, investors, and industry peers.
Competitive Benchmarking: Comparing a brand’s positive business outlook rating with competitors helps identify strengths and weaknesses in employee sentiment and business confidence. This comparison can inform strategies to enhance a brand’s appeal and internal culture.
Customer Trust and Loyalty: Employees who are optimistic about a brand’s future are more likely to provide better customer service and engage positively with customers. This can enhance customer trust and loyalty, directly impacting brand reputation and sales.
Content Marketing and Storytelling: Positive outlook ratings can be leveraged in content marketing to showcase the brand’s stability and vision. Stories about a brand’s positive future can resonate well with both current and potential customers.
Investor Relations: For investor communications, a positive business outlook is a strong selling point. It demonstrates to investors that a brand is well-positioned for future growth, potentially attracting more investment.
Internal Alignment and Strategy: Understanding employee sentiment about the business outlook helps in aligning internal strategies and initiatives. It ensures that the marketing messages and branding are consistent with the internal optimism and direction of a brand.
Brand Differentiation: A strong positive business outlook can differentiate a brand from competitors, making it stand out as a desirable place to work and do business with. This can be a key differentiator in competitive markets.
Long-Term Planning: Insights from the positive business outlook rating can guide long-term marketing and business strategies. It helps in planning campaigns, product developments, and market expansions with a clear understanding of employee confidence and future prospects.
Stakeholder Communication: Sharing the positive business outlook with stakeholders reinforces confidence in a brand’s leadership and strategic direction, enhancing trust and support from stakeholders.

Additional considerations where this metric can play a role:

Attracting Talent: Prospective employees are often attracted to brands with a strong positive outlook. Highlighting a high positive business outlook rating in recruitment marketing can make a brand more appealing to top talent.
Crisis Management: In times of industry or economic downturns, a strong positive business outlook among employees can help the brand maintain stability and resilience, aiding in effective crisis management and recovery.
Cultural Development: Positive outlook ratings provide insights into a brand’s culture and employee satisfaction. This information can be used to enhance cultural initiatives, making the workplace more supportive and motivating.

Employee Support - Employer Recommendation Rating Trend

What is this metric?

The Employee Support - Employer Recommendation Rating Trend metric measures the average employer recommendation rating employees provide regarding their employer over time.

How is this metric calculated?

BlueOcean computes a year-over-year comparison of a brand’s average Employee - Employer Recommendation Rating score to determine the level of growth (or decline) in a brand’s employee-generated Employer Recommendation Ratings.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

Glassdoor

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The Employee Support - Employer Recommendation Rating Trend metric is a valuable resource for:

Employee Advocacy: Satisfied employees are more likely to become brand advocates. They can help promote a brand through word-of-mouth, social media, and professional networks, amplifying marketing efforts.
Brand Reputation: High employer recommendation ratings contribute to a positive brand reputation. A strong internal brand can enhance the overall brand image, making it more attractive to customers, partners, and investors.
Customer Trust and Loyalty: Customers tend to trust and feel more loyal to brands that are known for treating their employees well. A positive internal culture can translate into better customer service and experience.
Competitive Benchmarking: Comparing employer recommendation ratings with competitors allows marketing departments to benchmark a brand's performance in employee satisfaction and support. It helps identify areas where a brand excels or needs improvement.
Talent Acquisition: High employer recommendation ratings can be highlighted in recruitment campaigns to attract potential employees. It serves as a testament to a brand’s positive work environment and culture.
Content Creation: Positive employee experiences and testimonials can be used in content marketing to humanize a brand and showcase its values. Employee stories can be featured in blogs, videos, and social media posts.
Corporate Social Responsibility (CSR): High employer recommendation ratings can enhance a brand’s CSR profile, showing that the company values and supports its workforce, which can resonate well with socially conscious consumers and partners.
Brand Differentiation: A strong employer brand differentiates a company from competitors. Highlighting high employer recommendation ratings can set a brand apart in both the job market and consumer market.
Cultural Insights: Understanding employee feedback provides insights into the company culture, which can inform broader marketing and branding strategies to ensure they are aligned with internal values and practices.

Additional considerations where this metric can play a role:

Crisis Management: Understanding employee sentiment can help in anticipating and managing potential internal crises. Addressing issues early can prevent negative public relations scenarios.
Stakeholder Communication: Employer recommendation ratings can be shared with stakeholders to demonstrate the company’s commitment to employee satisfaction and support, enhancing stakeholder trust and confidence.
Employee Retention: Monitoring these ratings can help identify trends and areas for improvement, leading to strategies that improve employee retention and reduce turnover costs.
Internal Communications: Marketing departments can collaborate with HR to improve internal communications based on feedback from employer recommendation ratings, ensuring that employees feel heard and valued.

News

What is this sub-factor?

The News sub-factor is a composite metric that assesses the news coverage (volume and sentiment) of a brand.

How is this sub-factor calculated?

BlueOcean computes a proprietary weighted average of the following metric groups:

News Volume: The News Volume metric measures the volume of news articles and reports about a brand.
News Sentiment: The News Sentiment metric measures the average sentiment (positive or negative) of news articles and reports regarding a brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

DiffBot Knowledge Graph

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework | BlueOcean Basic framework

How is this information valuable to my brand?

News Volume

What is this metric?

The News Volume metric measures the volume of news articles and reports about a brand.

How is this metric calculated?

BlueOcean utilizes a proprietary model to assess the total volume of aggregated news content for a given brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

DiffBot Knowledge Graph

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The News Volume metric is a valuable resource for:

Brand Visibility: News volume indicates how frequently a brand is mentioned in the media. Higher news volume can correlate with greater brand visibility and awareness.
Competitive Analysis: Comparing news volume with competitors provides insights into how a brand's media presence stacks up against others in the market. It helps identify which competitors are gaining more media attention.
Public Relations Impact: Understanding news volume helps marketing departments assess the effectiveness of PR efforts. Increased media coverage can indicate successful PR campaigns and strategies.
Reputation Management: Monitoring news volume helps in managing the brand’s reputation. Frequent mentions in the news can impact public perception positively or negatively, depending on the context.
Content Strategy: Insights from news volume can inform content strategy by highlighting trending topics and themes that resonate with the media and audience. Brands can create content that aligns with these trends.
Campaign Effectiveness: Tracking news volume before, during, and after marketing campaigns can help measure the effectiveness of those campaigns in generating media interest and coverage.
Stakeholder Communication: News volume data can be shared with stakeholders to demonstrate a brand’s media presence and the effectiveness of marketing and PR efforts.
Audience Insights: News volume can provide insights into what the audience and media find newsworthy about a brand and its competitors. This information can guide future content and marketing strategies.
Long-Term Strategy: Monitoring news volume over time helps in assessing the long-term impact of PR and marketing efforts, guiding the development of sustainable strategies for media engagement.
Crisis Detection and Management: Sudden spikes in news volume can indicate emerging issues or crises. Early detection allows marketing departments to respond proactively and manage potential negative impacts.

Additional considerations where this metric can play a role:

SEO and Online Presence: News articles often contribute to SEO by providing backlinks to a brand's website. Higher news volume can enhance a brand's online presence and search engine rankings.
Brand Differentiation: Analyzing the nature and context of news coverage can help a brand differentiate itself by focusing on unique aspects that generate positive media attention.
Media Relations: Understanding which topics generate the most news coverage can help in building relationships with journalists and media outlets that cover those topics.
Investment Decisions: Increased news volume can attract potential investors by showcasing a brand’s visibility and relevance in the market.

News Sentiment

What is this metric?

The News Sentiment metric measures the average sentiment (positive or negative) of news articles and reports regarding a brand.

How is this metric calculated?

BlueOcean utilizes a proprietary model to assess the aggregated news content for a given brand to determine, on average, how positive or negative sentiment in the news is regarding that specific brand.

Data Source(s): BlueOcean-trained Proprietary Data Model considering estimated data from:

DiffBot Knowledge Graph

Data Source Update Frequency: Weekly

Can Ratios Impact this Measurement? No

BlueOcean Applicable Framework(s): BlueOcean framework │BlueOcean Basic framework

How is this information valuable to my brand?

The News Sentiment metric is a valuable resource for:

Brand Reputation Management:
- Positive Sentiment: A prevailing positive news sentiment can be leveraged in marketing campaigns to reinforce a brand's strengths, achievements, or innovations.
- Negative Sentiment: If the sentiment is predominantly negative, it signals the need for reputation management, potential PR initiatives, or crisis management, depending on the severity.
Benchmarking: Comparing a brand's news sentiment with competitors provides a relative measure of media perception within the industry. A brand consistently receiving more positive news coverage than competitors suggests a competitive advantage regarding public perception.
Strategic Adjustments: Negative sentiment might indicate issues or challenges that need addressing. This can guide product improvements, service enhancements, or corporate responsibility initiatives.
Media Engagement Strategy: If a brand consistently receives neutral or minimal coverage compared to competitors, it suggests the need to revamp media engagement strategies, perhaps through more newsworthy initiatives, events, or announcements.
Sales and Business Development: For B2B brands, positive news sentiment can be a strong selling point, reinforcing the brand's reliability, innovation, or leadership in the industry.
Investor Relations: Investors often monitor news sentiment as part of their due diligence. Positive sentiment can attract investment, while sustained negative sentiment might be a red flag for potential investors.
Tailoring Marketing Messages: Understanding the prevailing news sentiment can guide the tone and content of marketing messages. For instance, during periods of positive sentiment, marketing can amplify these positive narratives. Conversely, during negative sentiment periods, marketing might focus on addressing concerns or emphasizing other strengths.
Employee Morale and Recruitment: Employees and potential hires often gauge company health and culture based on media perception. Positive news sentiment can aid recruitment and boost employee morale, while negative sentiment might necessitate internal communications to address concerns.
Understanding External Factors: Sometimes, news sentiment is influenced by broader industry trends or global events. Monitoring sentiment can provide signals of external factors that might affect the brand or industry, allowing for more informed strategic decisions.

Additional considerations where this metric can play a role:

Consumer Trust: Positive news sentiment can enhance consumer trust. Highlighting positive news coverage in marketing materials can serve as third-party validation of the brand's claims or value propositions.
Opportunity for Collaboration: Positive news sentiment around specific initiatives (e.g., sustainability efforts) can open doors for collaborations or partnerships with other organizations or influencers aligned with those values.

Excess Share of Voice (ESOV)

What is this metric?

This metric compares the amount a brand is spending in marketing to the revenue that the brand is earning as a business, relative to its competitors.

How is this metric calculated?

BlueOcean bases this metric on two component metrics: Offline Paid Media, and Annual Revenue. For each of these two metrics, we calculate a ratio of your value to the average value of your competitors, to create Share of Voice (your media expenditure over the media expenditure made by your market as a whole) and Share of Market (your revenue over the revenue of your market as a whole) values. Excess Share of Voice is calculated by taking the difference of these two ratios: ESOV = Share_of_Voice - Share_of_Market.

How is this information valuable to my brand?

Excess Share of Voice is typically used as a spending benchmark. Given your size and resources, are you spending a higher percentage of your revenue on marketing, or a lower percentage? Or right on the average?

By getting a revenue-independent gauge of marketing spending, you can align your spending strategy with your marketing goals. If you’re seeking to aggressively grab market share from competitors, you should likely be investing in marketing more aggressively than they are. If you’re seeking to tread water and maintain share then you should be attempting to approximately match your competitor spending. As a simple evaluation of overall spending relative to business size, this metric is especially useful when making a case for a marketing budget that aligns with your strategic goals.