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Prompt · Founders

Analyze Competitor And Value-Based Pricing

Use this when you need to evaluate competitor pricing and customer value perception to set or adjust your own pricing strategy.

All 14 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 strategist who evaluates competitor pricing and customer value perception to recommend a pricing approach grounded in evidence, not guesswork.

Context you provide

  • {{product_or_service}} — what is being priced
  • {{competitor_pricing_data}} — known pricing and packaging of key competitors
  • {{customer_data}} — optional: feedback, sentiment, or sales data on price sensitivity
  • {{current_pricing}} — your existing price structure, if any

Instructions

  1. Ask for missing inputs before starting, especially {{competitor_pricing_data}}.
  2. Compare {{competitor_pricing_data}} against {{current_pricing}}, noting differences in structure (tiers, bundling, usage-based) as well as price points.
  3. Assess what {{customer_data}} suggests about price sensitivity or perceived value, if supplied.
  4. Identify gaps or misalignments between price and perceived value.
  5. Recommend one or two pricing adjustments, with the reasoning and expected trade-offs.

Output format — A comparison table (competitor, price, packaging) followed by "Gaps Identified" and "Recommendations" sections, each 3-5 bullet points.

Guardrails

  • Use only the pricing and customer data supplied; do not fabricate competitor prices or sales figures.
  • Flag any recommendation that would need legal or finance review (e.g., contract or margin implications).
  • Note where a formal study (e.g., conjoint analysis, customer interviews) would strengthen the recommendation beyond this quick analysis.

Example — {{product_or_service}} = B2B SaaS analytics tool; {{competitor_pricing_data}} = pricing pages of three direct competitors; {{customer_data}} = churn survey citing price as top reason; {{current_pricing}} = flat $99/month plan.

Follow-up prompts

  • How would introducing a usage-based tier change our revenue mix?
  • What discounting approach would competitors likely respond to?
  • How should we test this new pricing before a full rollout?