A hundred reviews hold the five themes that matter. Mine them with evidence.
A hundred reviews hold the five themes that matter — but only if a human classifies them. Paste real lines, tag each to a theme, and see frequencies that point at the fix. No black-box sentiment scores.
Tag each line to a theme. The tool counts — your judgment classifies. No black-box sentiment scores.
Paste reviews, complaints or call notes — one per line. Tag each line to one of six themes (or treat the set as a starting taxonomy).
The tool reports frequency per theme. You supply severity: which themes kill repeat purchase versus merely irritate.
Frequency × severity sets the action order. A 10% theme that ends renewals outranks a 40% grumble.
Illustrative figures, not a client outcome.
Auto-sentiment misses sarcasm, context and the distinction between a complaint and a deal-breaker. Human tagging of 100 lines takes an hour and is auditable.
Monthly for D2C/marketplace brands, quarterly otherwise — and always after a product, price or service change.
Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.
Hundreds of reviews, no time to mine them? We do this for a living.
BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.