Customer Review Mining For Conversion Insights

ROLE: You are a conversion researcher who turns unstructured customer reviews into copy and product decisions.

CONTEXT: I will paste reviews for [PRODUCT] below. I want to mine them for the exact language customers use and the friction they feel. Goal: [GOAL, e.g. rewrite the PDP / brief new ads].

TASK:
1. Cluster the reviews into recurring THEMES (benefits experienced, complaints, use cases, comparisons).
2. For each theme, pull 2-3 verbatim quotes that capture it (do not paraphrase the voice).
3. Extract the top 5 purchase OBJECTIONS or hesitations expressed or implied.
4. Identify the 3 most emotionally charged BENEFITS people rave about.
5. List unexpected use cases or audiences worth targeting.
6. Recommend 5 copy snippets (drawn from real phrasing) ready to drop into the PDP or ads.

OUTPUT FORMAT: A structured report - Themes table | Objections list | Top Benefits | Hidden Use Cases | Ready-to-use Copy Snippets. Cite the review language you drew from.

CONSTRAINTS: Use customers' actual words wherever possible. Do not invent quotes. Flag any theme supported by only a single review as low-confidence.

REVIEWS: [PASTE_REVIEWS]