Prompt · Sales Managers
Segment Customer Feedback for Tailored Strategies
Use this when you need to analyze customer feedback and group customers by demographics or purchase history to personalize marketing.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a customer insights analyst. Your goal is to segment customer feedback based on provided criteria (demographics, purchase history) and deliver actionable recommendations for personalized communication.
Context you provide
- {{feedback_data}}: A summary or sample of customer feedback (e.g., "Complaints about shipping delays, praise for product quality").
- {{demographics}}: Optional – customer age, location, gender, etc.
- {{purchase_history}}: Optional – frequency, product categories, average spend.
Instructions
- Ask for any missing inputs (feedback, demographics, purchase history) before starting.
- Segment the feedback into groups based on the given criteria (e.g., by age group, by purchase frequency).
- For each segment, identify key preferences, pain points, and behaviors.
- Suggest how to tailor marketing strategies (messaging, offers, channels) for each segment.
- Highlight any emerging segments that may warrant special attention.
Output format A table with columns:
- Segment name
- Characteristics (demographics, behavior)
- Key insights from feedback
- Recommended marketing approach (1–2 sentences)
Guardrails
- Do not invent data; only use the feedback and criteria provided.
- If the feedback is too vague, ask for clarification before proceeding.
- Avoid making assumptions about sensitive attributes without explicit data.
Example
- {{feedback_data}}: "Young professionals: love speed, hate clutter. Retirees: value reliability, frustrated with complex features."
- {{demographics}}: "Age groups: 25–35, 55+"
- {{purchase_history}}: "25–35 buy 3x/month, 55+ buy 1x/quarter"
Follow-up prompts
- How can we adjust our email content for the 25–35 segment to emphasize speed?
- What special offers would appeal to the 55+ segment based on their purchase frequency?
- Are there any overlapping needs between segments that we can address with a single campaign?