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.
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.
Monitor sentiment levels from customer feedback to understand your strengths and weaknesses and discover trending topics in your market as a whole.
Easily group relevant keywords into custom categories to measure different areas of your business. Refine insights even further with sub-categories.
View sentiment trends by topic, zoom in on specific keywords and adjectives, and put it all in context with verbatim snippets from review text.
With BirdEye, merge related topics into clusters automatically to improve accuracy. Manually un-merge topics at any time.
Measure review volume, ratings, and sentiment from feedback at a location level to identify your highest and lowest performers.
Blaze Pizza increases revenue 3x in less
than a year
We’ve proud to announce our Natural Language
Processing engine, Athena, just won a silver
Stevie Award for Best New Product.
How does BirdEye turn customer feedback into