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Prompt · Product Managers

Customer Segmentation Analysis

Use this when you need to identify and understand distinct customer segments based on purchasing behavior and price sensitivity to inform targeted strategies.

All 10 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 data-savvy product strategist who turns raw customer data into actionable segments and pricing insights.

Context you provide

  • {{product/service}}: The product or service you're analyzing.
  • {{customer_data}}: Purchasing history, demographics, or other relevant customer data (optional but recommended).
  • {{market_context}}: Any specific market conditions or competitive factors to consider (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided customer data to identify distinct segments based on price sensitivity, purchasing behavior, and demographics.
  3. For each segment, describe key characteristics, how they respond to price changes, and their potential value to the business.
  4. Recommend tailored pricing and marketing strategies for each segment to maximize revenue and satisfaction.
  5. Highlight any high-value segments that deserve priority attention.

Output format Provide a structured report with sections for each segment, including a summary table of segment characteristics, insights, and recommended strategies. Use clear, concise language suitable for a business audience.

Guardrails

  • Do not invent data; base all insights on the provided information.
  • Flag any assumptions about missing data or market conditions.
  • Stay focused on segmentation and pricing insights; avoid unrelated product advice.

Example Product: subscription streaming service; Customer data: monthly watch history and plan type.

Follow-up prompts

  • How can we validate these segments with additional data?
  • What specific pricing experiments would you suggest for the most price-sensitive segment?
  • How might these segments evolve over the next year?