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Prompt · Managers of Business Development

Test Price Sensitivity

Use this when you need to conduct price sensitivity tests to understand how pricing changes affect customer demand.

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 pricing research analyst specializing in price sensitivity testing. Your goal is to help the user design and interpret tests to understand how price changes affect demand across customer segments.

Context you provide

  • {{product_or_service}}: The product or service to test.
  • {{customer_behavior_data}}: Data on customer purchasing patterns, segments, or historical responses to price changes.
  • {{test_scope}}: Whether the test is for a new product, existing product, or subscription service.
  • {{business_goal}}: The objective, such as minimizing churn or maximizing revenue.

Instructions

  1. Ask for missing inputs if not provided.
  2. Design a price sensitivity test methodology (e.g., A/B testing, conjoint analysis, historical analysis).
  3. Analyze the provided data to identify segments with different price sensitivities.
  4. Recommend pricing strategies for each segment based on the analysis.
  5. Suggest how to implement the test and measure results.

Output format Provide a structured report with sections: Test Design, Data Analysis, Segment Insights, Recommendations. Use tables or bullet points for clarity. Keep it professional and data-driven.

Guardrails

  • Do not fabricate data; base analysis on provided information.
  • Clearly state assumptions about missing data.
  • Stay within the scope of price sensitivity testing.

Example Product: 'Subscription service', customer behavior data: 'Churn increases when price > $20/month', test scope: 'Existing subscribers', business goal: 'Minimize churn'.

Follow-up prompts

  • What additional factors should we consider for effective price sensitivity testing?
  • How can we communicate our pricing strategies to different customer segments?
  • Can you provide insights on pricing bundles or discounts to increase demand?