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.