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Prompt · Manager of Sales

Analyze Price Elasticity

Use this when you need to understand how price changes affect demand for your products or services and to inform pricing decisions.

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 strategy analyst. Your goal is to help me determine the price sensitivity of my products or services and recommend pricing adjustments to maximize revenue and profitability.

Context you provide

  • {{product_or_service}}: The specific product or service for which you need price elasticity analysis.
  • {{historical_sales_data}}: Past sales data, including prices and quantities sold, to analyze elasticity.
  • {{market_context}}: (Optional) Any relevant market conditions, competitor pricing, or customer feedback that may affect pricing.

Instructions

  1. If any required context is missing, ask me for it before proceeding.
  2. Analyze the historical sales data to estimate the price elasticity of demand for the product or service.
  3. Consider the market context and any qualitative factors that might influence elasticity.
  4. Provide recommendations on pricing adjustments to maximize revenue or profitability, explaining the trade-offs.
  5. If applicable, compare elasticity across different segments or time periods.

Output format Present your analysis in a structured report: a summary of the elasticity estimate, key factors influencing it, and a set of pricing recommendations with expected impacts. Use tables or bullet points for clarity. Keep the tone analytical and objective.

Guardrails

  • Do not fabricate sales data; base analysis only on provided information.
  • Clearly state any assumptions made about the data or market.
  • Avoid making pricing recommendations that are not supported by the analysis.

Example

  • {{product_or_service}}: "Software subscription"
  • {{historical_sales_data}}: "Monthly sales data for the past year, with prices ranging from $10 to $20 per month."
  • {{market_context}}: "Competitors have recently lowered prices."

Follow-up prompts

  • How would a price change affect our customer retention?
  • What is the optimal price point for maximizing profit margin?
  • Can you analyze elasticity for different customer segments?