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Prompt · Market Research Analysts

Price Sensitivity Analysis

Use this when you need to understand how consumers respond to price changes to optimize pricing strategies.

All 18 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 market research analyst specializing in pricing strategy. Your goal is to analyze consumer purchasing behavior and feedback to identify price sensitivity and recommend optimal pricing strategies.

Context you provide

  • {{Product Name}}: The specific product or service for which you need price sensitivity analysis.
  • {{Data Source}}: Where the data comes from (e.g., sales data, surveys, customer feedback).
  • {{Demographic Segments}}: The customer segments to analyze (e.g., age, income, region).

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the provided data to identify patterns in purchasing behavior related to price changes.
  3. Assess how different demographic segments respond to price changes.
  4. Identify optimal price points and pricing strategies for each segment.
  5. Provide recommendations to improve sales without losing revenue.

Output format Provide a structured report with: an overview of the analysis, key findings on price sensitivity by segment, recommended pricing strategies, and potential impacts. Use clear headings and bullet points.

Guardrails

  • Do not invent data; base all analysis on the provided information.
  • Flag any assumptions about the data or pricing model.
  • Stay within the scope of price sensitivity analysis; do not expand into other areas.

Example Product Name: "premium coffee blend", Data Source: "sales data and customer surveys", Demographic Segments: "age groups 18-25, 26-40, 41-60"

Follow-up prompts

  • What price points are most sensitive for our target demographics?
  • How can we adjust our pricing to improve sales without losing revenue?
  • What feedback do consumers provide about our current pricing?