Review analysis in India

Review analysis for India, in the languages your customers write.

Indian customers write reviews in English, Hindi, regional languages and every mix of them. Falcon classifies every Google review of every store into your themes, across languages, and shows which stores and cities need attention and why.

Updated

  • Multilingual classification
  • Stores compared by city and format
  • Customers' own words behind every 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

English-only analysis misses customers

Reviews in Hindi, Tamil, Telugu, Marathi or Hinglish are skipped or misread by tools built for English.

Hundreds of stores across tiers

Metro flagships and tier-2 stores serve different customers; national averages hide both.

Festive peaks

Diwali, wedding seasons and sales change what customers write about, not just how many write.

How it works

From every review to the next step

  1. Every store's Google reviews

    Falcon collects the public Google Maps reviews of each store, and your app's Play Store reviews.

  2. Classified across languages

    A multilingual model classifies each mention into your themes with its sentiment and supporting quote.

  3. Compare by city, format and season

    Filter by store, period and source to find what is slipping where.

What you get

What your team gets

Your taxonomy, every language

Themes, sub-themes and issues built from your reviews, whatever language they are written in.

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

Signals by topic and month

Negative share for every topic and month, small samples flagged.

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

Quotes in the customer's words

Every finding opens the reviews behind it.

Insight & feedback: the theme tree, highlights for each theme and the breakdown

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

Book a demo

FAQ

Frequently asked questions

Does Falcon understand reviews in Hindi and regional languages?

Yes. Classification uses a multilingual model, so reviews in Indian languages and mixed English are classified alongside English reviews.

Is it built for Indian retail?

Falcon is used for multi-store Indian brands, and the taxonomy is built from each brand's own reviews, so it reflects topics such as making charges, hallmarking or exchange of old gold where they come up.

Can we compare cities?

Filter to stores in a city or group of stores and compare periods and topics.

Which sources are included?

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

Where does the data come from?

From public reviews on Google Maps and Google Play.

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