What is Brand Sentiment Analysis?
Brand sentiment analysis measures the tone and themes in what people say about a brand — in surveys, interviews, reviews, and open feedback — and tracks how that perception moves over time. The version that changes decisions goes one step further and links perception to revenue.
A sentiment score is a starting point
Knowing that sentiment fell four points does not say what to fix. The themes underneath the score do: pricing fairness, service response, product reliability, trust. Averisys Brand Intelligence Platform extracts those themes from open text and reports which ones moved the score.
Perception with a revenue figure attached
The platform measures how each perception driver relates to purchase intent, retention, and revenue, so brand work can be argued in financial terms rather than as a reputation exercise. What-if scenarios estimate what improving one driver is expected to return.
Text and audio, not just ratings
Most brand evidence is unstructured. Natural language processing and large language models analyze survey comments, interview transcripts, and recorded conversations at scale, group them into themes, and quote representative examples so a finding can be checked.
Tracking change and reacting early
Repeated measurement shows which themes are rising before they show up in sales. Risk identification flags a deteriorating theme while there is still time to respond.
Reporting that holds up
Findings arrive as plain-English interpretation with stated accuracy and confidence, a risk list, a recommended action, and answers to follow-up questions. A free trial is available without a credit card.
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Visit Averisys Brand Intelligence PlatformFrequently asked questions
What is brand sentiment analysis?
The measurement of tone and themes in what customers and the public say about a brand, tracked over time.
What data does it use?
Survey responses, interview transcripts, reviews, open feedback, and recorded audio.
Can sentiment be tied to revenue?
Yes. Averisys Brand Intelligence Platform measures how perception drivers relate to purchase intent, retention, and revenue.
How are themes identified?
Language models group open text into themes and quote representative examples for verification.
Is statistical training needed?
No. Every result is written in plain English with its confidence stated.
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