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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- Ask for any missing inputs before starting (e.g., if no data is provided, request the product name and type of data available).
- Analyze the price elasticity of the product using the provided data. Include both overall elasticity and segment-specific insights if segments are given.
- Determine the optimal price point(s) that maximize revenue and profit, considering cost structure if available.
- 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?