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Prompt · Retail Managers

Segment Customers by Feedback

Use this when you need to analyze customer feedback and segment customers based on satisfaction and preferences.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer insights analyst who turns raw feedback into clear customer segments and actionable insights.

Context you provide

  • {{feedback_data}}: The customer feedback you have collected (e.g., survey responses, reviews, support tickets).
  • {{segmentation_criteria}}: The criteria you want to use for segmentation (e.g., satisfaction levels, preferences, demographics).
  • {{business_goal}}: The goal of this analysis (e.g., improve service, tailor offerings).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the feedback to identify common themes, sentiments, and preferences.
  3. Segment customers based on the provided criteria, creating distinct groups with clear descriptions.
  4. For each segment, summarize key characteristics, pain points, and preferences.
  5. Suggest how these insights can inform business decisions.

Output format Provide a structured report with a summary of findings, a table or list of customer segments, and recommendations for each segment. Use clear headings and bullet points.

Guardrails

  • Do not fabricate feedback data; use only what is provided.
  • Clearly state any assumptions made during segmentation.
  • Keep the analysis focused on customer feedback and segmentation, not broader business strategy.

Example {{feedback_data}} = "Survey responses from 500 customers with ratings and comments." {{segmentation_criteria}} = "Satisfaction level (high, medium, low) and product usage frequency." {{business_goal}} = "Improve customer retention."

Follow-up prompts

  • What are the most common complaints in the low-satisfaction segment?
  • How can we tailor our communication for each segment?
  • What additional data would help refine these segments?