Turn customer reviews into marketing angles
Mine customer reviews for objections, outcomes, buyer language, ad hooks, and landing page copy.
Setup time
40 minutes
Time saved
3-6 hours
Best for
Marketers, Ecommerce sellers, Founders
Tools
ChatGPT, Google Sheets, Canva
Overview
This workflow converts voice-of-customer data into sharper messaging that sounds like your actual buyers.
When to use this workflow
Tools you need
ChatGPT
AI assistant
General AI assistant for drafting, reasoning, rewriting, and structured content generation.
Visit websiteGoogle Sheets
Spreadsheet
Spreadsheet tool for lists, planning, lightweight reporting, and repeatable review workflows.
Visit websiteCanva
Design
Design platform for marketing assets, thumbnails, social posts, and simple brand kits.
Visit websiteStep-by-step workflow
Collect reviews
Paste customer reviews, testimonials, support comments, and competitor reviews into a sheet.
Tool used
Google Sheets
Expected output
A review dataset with source and product labels.
Extract patterns
Ask AI to identify desired outcomes, objections, trigger moments, and repeated phrases.
Tool used
ChatGPT
Expected output
A voice-of-customer summary.
Generate marketing angles
Turn patterns into hooks, ad angles, landing page sections, and email subject lines.
Tool used
ChatGPT
Expected output
A list of validated messaging angles.
Create quick assets
Use top angles to create simple visual concepts for ads or social posts.
Tool used
Canva
Expected output
Draft creative assets based on customer language.
Prompt templates
Review mining
Analyze these reviews. Extract desired outcomes, frustrations, objections, emotional language, before-and-after states, and exact phrases worth reusing. Reviews: [paste]Angle generator
Turn this customer language into 12 marketing angles. For each angle, include hook, buyer pain, proof point, and best channel. Customer insights: [paste]Automation ideas
- Weekly import new reviews into a sheet
- Auto-tag reviews by pain point
- Create a monthly messaging report from review clusters
Common mistakes
- Using only 5-star reviews
- Removing the messy language that makes reviews useful
- Creating hooks that exaggerate outcomes
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