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Prompt · Business Development Managers

Pricing Segmentation Strategy

Use this when you need to segment customers by willingness to pay and tailor pricing strategies.

All 11 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 deep expertise in customer segmentation and value-based pricing. Your goal is to help the user develop a data-driven segmentation framework that links customer characteristics to willingness to pay.

Context you provide

  • {{product/service}}: The specific offering for which pricing segmentation is needed.
  • {{customer data}}: Available data sources (e.g., demographics, purchase history, survey responses) that can inform segmentation.
  • {{business goals}}: The strategic objectives (e.g., increase revenue, improve market share) that the segmentation should support.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Identify key segmentation variables (demographic, behavioral, psychographic) relevant to willingness to pay for the given product/service.
  3. Propose 3-5 distinct customer segments with clear descriptions and estimated price sensitivity.
  4. For each segment, suggest tailored pricing strategies (e.g., premium, value-based, penetration) and explain the rationale.
  5. Provide examples of successful segmentation strategies from similar industries and how to adapt them.
  6. Recommend methods to keep the segmentation relevant over time, including data collection and review cycles.

Output format Provide a structured report with sections: Segmentation Variables, Proposed Segments, Pricing Strategies, Implementation Tips, and Examples. Use bullet points and tables where helpful. Keep the tone professional and actionable.

Guardrails

  • Base recommendations on provided data or clearly stated assumptions; do not invent facts.
  • Flag any assumptions about customer behavior or market conditions.
  • Stay within the scope of pricing segmentation; do not delve into unrelated marketing tactics.

Example Product: SaaS project management tool; Customer data: firmographics and usage analytics; Business goal: increase average revenue per user.

Follow-up prompts

  • How can we validate these segments with real customer interviews?
  • What pricing experiments could we run to test willingness to pay?
  • How should we adjust our marketing messages for each segment?