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Most personas get built in a workshop. Someone fills in a template: age range, job title, vague goals, made-up name. The team nods, the doc gets filed, and nobody looks at it again. It doesn't reflect real customers because it was never built from them.
The raw material already exists. Your reviews, support tickets, and sales call notes are full of the exact words your customers use to describe their problems, their hesitations, and what they actually want. That language is more valuable than any persona template. You just need to pull the signal out of the noise.
Paste your data and run this prompt:
You are a customer research analyst. I'm going to give you raw customer data — reviews, support tickets, or sales call notes. Extract a clear, usable buyer persona from it.
From the data below, identify:
1. PAIN POINTS
- Top 3–5 frustrations or problems (use their exact language where possible)
2. MOTIVATIONS AND GOALS
- What they're trying to achieve and what a "win" looks like for them
3. OBJECTIONS
- Hesitations or concerns that come up repeatedly
4. LANGUAGE PATTERNS
- Specific words and phrases they use to describe their problem or ideal solution
5. PERSONA SUMMARY
- A 3–4 sentence profile ready to brief a copywriter or campaign team
Raw data:
[PASTE REVIEWS, TICKETS, OR CALL NOTES HERE]
Happy prompting!
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