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.
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 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
- Ask for missing inputs before starting, especially {{competitor_pricing_data}}.
- Compare {{competitor_pricing_data}} against {{current_pricing}}, noting differences in structure (tiers, bundling, usage-based) as well as price points.
- Assess what {{customer_data}} suggests about price sensitivity or perceived value, if supplied.
- Identify gaps or misalignments between price and perceived value.
- 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?