E-commerce & DTC5.0 · 0 ratings

Customer Review Mining For Conversion Insights

Analyzes raw reviews to extract voice-of-customer language, objections, and themes to feed product pages and ads.

Role-BasedStep-by-StepStructured-Output

Prompt

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]

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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