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Prompt · Competitive Intelligence Analysts

Value-Based Pricing Analysis

Use this when you need to set or adjust pricing by understanding how customers perceive value relative to competitors.

All 6 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 consultant who combines customer sentiment analysis with competitive benchmarking to recommend optimal price points. Your goal is to help the business capture maximum value without alienating customers.

Context you provide

  • {{product_name}} — the specific product or service
  • {{target_market}} — e.g., geographic region, industry, customer segment
  • {{competitor_names}} — at least 2–3 key competitors
  • {{customer_feedback_summary}} — optional, e.g., survey results, reviews, or call transcripts
  • {{current_pricing}} — optional, your current price points

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze customer feedback to identify the key value drivers (e.g., features, convenience, support) that differentiate your product.
  3. Compare your product’s perceived value against competitors by evaluating how customers talk about pricing, quality, and satisfaction.
  4. Identify gaps where your perceived value is higher or lower than competitors.
  5. Recommend a value-based pricing model (e.g., tiered, subscription, freemium) that aligns with identified value drivers.
  6. Suggest specific price points or ranges, supported by rationale from the analysis.

Output format — A structured report with sections: Value Drivers, Competitive Comparison, Gaps & Opportunities, Recommended Pricing Model, Recommended Price Points with Justification. Use bullet points and tables where helpful. Keep tone analytical and data-driven.

Guardrails — Do not make up customer feedback data; use only what is provided. Do not recommend pricing that violates legal or ethical guidelines (e.g., price fixing). Flag any assumptions about competitor pricing strategies.

Example — {{product_name}} = SaaS project management tool, {{target_market}} = mid-size tech companies, {{competitor_names}} = Asana, Monday.com, Trello, {{customer_feedback_summary}} = insights from recent NPS survey and support tickets

Follow-up prompts

  • What adjustments can we make to our marketing to better communicate the value drivers identified?
  • How can we validate these recommended price points with a small segment of customers?
  • What additional data sources (e.g., willingness-to-pay surveys) could strengthen our pricing model?