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Analyze real customer reviews (pasted or CSV) to compute Positive, Neutral, and Negative sentiment breakdown, top buyer keywords, and response templates.
Zero fabricated metrics. Every output is backed by configurable marketplace fee schedules, SSRF-safe public metadata, or your verified Seller CSV/manual inputs.
The Marketplace Customer Review Sentiment Analyzer turns raw buyer feedback into structured sentiment metrics, recurring vocabulary frequency, and professional seller response templates.
Uses bilingual lexical sentiment scoring and defect clustering across every user-supplied review line.
Paste customer reviews (one review per line) or upload a review CSV. The engine scores each review, calculates Positive/Neutral/Negative percentages, extracts top customer vocabulary, and prepares resolution replies.
Combine complementary calculators and checkers to optimize your entire campaign.
Cluster 1-star to 3-star marketplace reviews into actionable defect categories (Packaging, Sizing, Shipping, Durability, Wrong Variant) with engineering fixes.
Generate high-converting, keyword-optimized product titles, benefit-driven bullet points, and structured specification copy for any marketplace.
Benchmark your product pricing, unit margin, and review moat against marketplace competitors to uncover counter-positioning advantages.