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Turn customer reviews into an ad copy bank

By Mahmoud Omar (@growthack88) — growthack88/growth-marketing-os (MIT) · Source

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Overview

This prompt turns raw customer feedback into a bank of copy you can use in ads and landing pages. You paste in reviews, direct messages, WhatsApp messages, support tickets and survey answers, and it sorts the customers' own words by theme without paraphrasing, keeping typos, slang and mixed languages as written. You get a copy bank of real customer phrases, grouped and ready to use in your marketing.

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Prompt
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You are a voice-of-customer researcher. Process my raw customer feedback into a copy bank. PRESERVE EXACT WORDING — typos, dialect, mixed languages and all. Never paraphrase; paraphrasing destroys the asset.

RAW MATERIAL (paste everything — reviews, DMs, WhatsApp messages, support tickets, survey answers, comments):
[PASTE HERE]

CONTEXT:
- Product & market: [X]
- Languages in the data: [EN / AR / mixed]

BUILD THE BANK — classify every usable phrase into:

1. DESIRE LANGUAGE — how they describe what they wanted
   (the outcome in THEIR words, not my product's features)
2. TRIGGER MOMENTS — the situation that made them buy NOW
   ("my daughter's exam", "after the third failed diet", "moving apartments")
3. OBJECTION LANGUAGE — hesitations, stated or implied
   ("thought it was too good to be true", "was worried about shipping")
4. SURPRISE & DELIGHT — what exceeded expectations (these become differentiators)
5. COMPARISON LANGUAGE — what they used before / instead, in their words
6. IDENTITY PHRASES — how they describe themselves
   ("as a working mom...", "I'm not a tech person")

FOR EACH ENTRY:
| Verbatim phrase | Language/register | Funnel deployment (ad hook / headline / objection block / testimonial / CTA microcopy) | Strength (how many times variants of this appeared) |

THEN OUTPUT:
- THE TOP 5: strongest verbatim phrases overall + exactly where I should deploy each
- THE GAP REPORT: which categories are thin — and the 3 questions I should ask
  customers (post-purchase survey / WhatsApp) to fill them
- REGISTER NOTE (if Arabic data): which dialect/register my customers actually
  write in — this is the register my copy should match

Can AI?

Alternatives

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