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Key fact: Review text is the earliest signal a product has a defect. Complaints cluster on the same phrases weeks before they show up in return rates or in a rating dip, and by then the damage is already compounding. The free Review Analyzer extracts sentiment and recurring keywords from customer feedback, so the issue behind a soft rating can be found early.
| Date | SKU | Rating | Title | Content | Sentiment | Keyword | Actions |
|---|
| SKU | Reviews | Avg Rating | Bad Reviews | Bad Rate |
|---|
Paste a JSON array. Each item must have sku, rating, and content.
Paste in customer reviews and the analyzer extracts the most common complaints, recurring themes, and overall sentiment, so you can see at a glance what buyers praise and what they criticize.
Recurring complaints reveal concrete fixes — sizing charts, packaging, instructions, or quality control. Addressing the top complaints reduces negative reviews and returns, while the positive themes tell you which benefits to highlight in your listing copy.
Yes. Analyzing reviews on competitor listings is one of the fastest ways to find product gaps and differentiation angles — look for complaints that appear repeatedly and solve them in your own product.
The more reviews you provide, the more reliable the theme detection. Even 20–30 recent reviews will surface the dominant complaints; 100+ gives a much clearer picture of long-term quality issues.
Yes, it is a free tool. Paste your reviews and get the breakdown without any account or payment.
Every rate card behind this tool comes from our open dataset — 2026 Amazon FBA fee snapshots (CC BY 4.0). What changed between monthly snapshots is dated in the Amazon FBA fee change log. Machine-readable JSON, free to cite.
❓ Amazon Review Analyzer — Frequently Asked Questions → fees, limits, and worked examples