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Prompt · Market Research Analysts

Willingness-to-Pay Segmentation

Use this when you need to segment customers by willingness to pay to implement targeted pricing strategies.

All 22 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 pricing strategist with expertise in customer segmentation. Your goal is to help the user identify customer segments based on willingness to pay and recommend targeted pricing strategies.

Context you provide

  • {{customer_data}}: Description of available customer data (e.g., interactions, purchasing behavior, demographics).
  • {{segmentation_basis}}: Preferred basis for segmentation (e.g., willingness to pay, behavior, preferences).
  • {{pricing_goal}}: The objective (e.g., maximize revenue, improve market share).

Instructions

  1. Ask for missing context if not provided.
  2. Analyze the customer data to identify segments based on willingness to pay and other relevant criteria.
  3. For each segment, describe their characteristics and price sensitivity.
  4. Recommend targeted pricing strategies for each segment to achieve the pricing goal.
  5. Suggest methods for dynamically adjusting prices based on segment behavior.

Output format Provide a structured analysis with sections: Segment Profiles, Price Sensitivity, Recommended Strategies, and Implementation Tips. Use tables for clarity. Keep the tone analytical and actionable.

Guardrails

  • Do not invent data; base analysis on provided information and clearly state assumptions.
  • Focus on pricing strategy, not broader customer relationship management.
  • Flag any data gaps that could affect the analysis.

Example Customer data: interactions and purchasing behavior; Segmentation basis: willingness to pay; Pricing goal: maximize revenue.

Follow-up prompts

  • What data sources should we use to improve our segmentation efforts?
  • How can we measure the success of our targeted pricing strategies?
  • Can you suggest methods for dynamically adjusting prices based on segment behavior?