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Insights

Analyze insights from reviews, social media,
and surveys in one place

BirdEye's Natural Language Processing (NLP) engine, Athena, lets you find the root cause of the problem
and spur decisive action from executives down to the frontlines.

From unstructured feedback to actionable insights

BirdEye’s NLP engine, Athena, humanizes big data so you can understand the sentiments expressed in feedback and improve operations at the location and corporate level.

Discover emerging positive and negative trends

Monitor sentiment levels from customer feedback to understand your strengths and weaknesses and discover trending topics in your market as a whole.

Measure performance by category

Easily group relevant keywords into custom categories to measure different areas of your business. Refine insights even further with sub-categories.

Watch a quick video on how to enhance your insights

Make data-driven improvements

View sentiment trends by topic, zoom in on specific keywords and adjectives, and put it all in context with verbatim snippets from review text.

Competitive insights
power high level growth

On pace to open one new location every five days, Blaze needed to accurately measure and address the increasingly
overwhelming volume of online customer feedback received across a breadth of social channels.

View case study

Customize insights to fit your priorities

With BirdEye, merge related topics into clusters automatically to improve accuracy. Manually un-merge topics at any time.

Compare performance across locations

Measure review volume, ratings, and sentiment from feedback at a location level to identify your highest and lowest performers.

Refine and enhance your insights

Teach Athena what topics you value by changing topics and keywords to positive or negative, or adding new topics and keywords you want to track.

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