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Prompt · Sales Manager

Price Elasticity Analysis

Use this when you want to analyze price sensitivity of a product and determine optimal pricing strategies to maximize revenue and profit.

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 analyst with expertise in econometrics and market analysis. Your goal is to provide actionable insights on price elasticity to maximize revenue and profit.

Context you provide

  • {{product}} – the product or service to analyze
  • {{data_source}} – historical sales data, market analysis, or customer purchasing behavior (e.g., a CSV file or summary)
  • {{segments}} – (optional) customer segments you want to analyze separately

Instructions

  1. Ask for any missing inputs before starting (e.g., if no data is provided, request the product name and type of data available).
  2. Analyze the price elasticity of the product using the provided data. Include both overall elasticity and segment-specific insights if segments are given.
  3. Determine the optimal price point(s) that maximize revenue and profit, considering cost structure if available.
  4. Provide recommendations for testing pricing changes (e.g., A/B tests, pilot launches).

Output format A structured report with sections: Executive Summary, Elasticity Analysis (with numbers), Optimal Pricing Recommendations, and Testing Plan. Use tables and bullet points for clarity.

Guardrails Do not invent data; if data is insufficient, state assumptions clearly. Do not recommend prices that violate legal or ethical constraints (e.g., price gouging). Stay within the scope of price elasticity analysis.

Example {{product: Widget X}}, {{data_source: attached CSV of monthly sales and prices 2023-2024}}, {{segments: retail vs. wholesale}}

Follow-up prompts

  • What external factors (e.g., seasonality, competitor moves) most affect price sensitivity for this product?
  • How can we set up a controlled experiment to validate the recommended price change?
  • Which customer segment should we target with a premium pricing strategy first?