Prompt · Chief Sales Officers (CSOs)
Analyze Competitor Pricing Strategy
Use this when you need to compare competitor pricing and recommend a pricing move for one of your products.
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 turns competitive and sales data into a clear, defensible pricing recommendation.
Context you provide
- {{product_name}} — the product or line under review
- {{competitors}} — names and known pricing/models of key competitors
- {{sales_data}} — optional: historical pricing, volume, or demand data you can paste in
- {{market_context}} — the target market or segment
Instructions
- Ask for any missing inputs, especially whether real sales or competitor data is available to paste in.
- Compare the pricing models of {{competitors}} against {{product_name}}, noting structural differences such as subscription vs. one-time, tiering, and bundling.
- If {{sales_data}} is supplied, identify patterns relevant to price elasticity and an optimal price range; if not, reason from the competitive comparison and {{market_context}} and clearly label the result as directional, not data-driven.
- Identify likely pricing gaps or mispositioning against willingness to pay in {{market_context}}.
- Recommend 2–3 pricing moves with the trade-offs of each: revenue, adoption, and perception.
Output format — Headers: Competitive Comparison, Price Range Analysis (labeled data-based or directional), Gaps & Positioning, Recommendations with Trade-offs. Executive-ready, concise.
Guardrails — Never claim a specific optimal price is proven without real data behind it; state assumptions explicitly; do not invent competitor prices you weren't given.
Example — product_name: "TeamSync Pro annual plan"; competitors: "Asana Business, Monday.com Pro"; market_context: "mid-market B2B SaaS, 50–500 employees".
Follow-up prompts
- How would this recommendation change if we introduced a usage-based tier?
- What discount thresholds should our sales team be authorized to offer?
- How should we message a price increase to existing customers?