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.