Customer review analysis

Customer review analysis that reads every review, not a sample.

Falcon turns thousands of customer reviews into a clear picture of what customers praise and complain about, where, and whether it is getting better, with every number linked to the reviews behind it.

Updated

  • Every review classified
  • Issues found in your own reviews
  • Exact quotes behind each finding

Free review snapshot

See what your customers are saying, before you talk to us.

Tell us your brand. We read its public Google reviews and send back the themes customers raise most, with the quotes behind them.

  • The themes customers raise most
  • Where sentiment is slipping
  • Real quotes behind each theme

No commitment. We use your details only to send your snapshot and follow up. Privacy policy

Taxonomy: L1, L2 and L3 ranked by feedback volume with their sentiment mix

The problem

What gets in the way

Reviews pile up unread

Thousands of reviews arrive across stores and the app. Teams read a few, and decisions rest on whichever ones they happened to see.

Word clouds and star averages

Basic tools show the most common words and an average rating. Neither says what to fix, or where.

Findings nobody can check

A report says "service is a problem". Store teams ask which service, where and since when, and nobody can show them.

How it works

From every review to the next step

  1. Collect every review

    Falcon brings in the public reviews of each store on Google Maps and of your app on Google Play.

  2. Classify each mention

    Every review is sorted into themes, sub-themes and specific issues, with the sentiment of each mention and the exact words that support it.

  3. Act on what rises

    Signals show where negative share is rising by topic and month; insights name the issue, the owner and a next step.

What you get

What your team gets

Three levels deep

Themes, sub-themes and specific issues ranked by volume, with the sentiment mix in every bar.

Taxonomy: L1, L2 and L3 ranked by feedback volume with their sentiment mix

Where it is slipping

Negative share for every topic and month in one heatmap, with small samples flagged.

Experience signals: a heatmap of negative share by topic and month, with the selected cell's insight

Proof in customers' words

Every finding opens the reviews behind it, with the supporting quote highlighted.

Customer evidence: one review with its L1, L2 and L3 classification, a suggested next step and an AI-drafted reply

See it on a sample workspace, or on your own reviews with our team.

Book a demo

FAQ

Frequently asked questions

What is customer review analysis?

It is turning the text of customer reviews into structured findings: what customers talk about, how they feel about each topic, which specific issues recur, where and when. It goes beyond the star rating to the reasons behind it.

How is Falcon different from a word cloud or a sentiment score?

Falcon classifies each mention in a review into your own themes and sub-themes with its sentiment, groups complaints into specific issues and keeps the exact quote behind every label. You see which issue is rising at which store, not just which words are common.

Does it handle reviews in Indian languages?

Falcon's classification uses a multilingual model, so reviews written in languages other than English are classified alongside English ones.

Does it read every review?

Yes. Very short texts that carry no topic, such as a single word, are marked unclear rather than forced into a category.

Which review sources does Falcon cover?

Google Maps reviews of your stores and Google Play reviews of your app.

Free review snapshot

See what your customers are saying, before you talk to us.

Tell us your brand. We read its public Google reviews and send back the themes customers raise most, with the quotes behind them.

No commitment. We use your details only to send your snapshot and follow up. Privacy policy