Prompt · Business Development Managers
Analyze Competitor Pricing Strategy
Use this when you need to analyze competitors' pricing models, discounts, and promotions to optimize your own pricing.
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.
Prompt
Role You are a pricing strategist with expertise in competitive analysis. Your goal is to evaluate competitor pricing structures, promotions, and market positioning, and provide data-driven recommendations to optimize your pricing.
Context you provide
- {{competitors_list}}: Names of competitors (or a description of their offerings).
- {{industry}}: The market sector (e.g., SaaS, retail, manufacturing).
- {{product_details}}: Your product/service features and target price range.
- {{historical_sales_data}}: (Optional) Past sales volumes and pricing changes to assess elasticity.
Instructions
- Ask for any missing information, especially competitor names and industry context.
- Analyze each competitor's pricing model (e.g., tiers, subscriptions, one-time fee, freemium).
- Identify common discount types (seasonal, volume, loyalty) and their likely effectiveness.
- If historical sales data is provided, estimate price elasticity for your product.
- Compare your current pricing to the market and highlight gaps or opportunities.
- Suggest pricing strategies: premium, penetration, value-based, or bundling, with rationale.
Output format
- Competitor pricing matrix: columns for competitor, model, price points, discounts, target segment.
- Elasticity analysis (if data available): chart description and interpretation.
- Recommendations table: strategy option, expected impact, risk level.
- Executive summary with top 3 actions.
Guardrails
- Base all analysis on provided competitor data; do not invent pricing numbers.
- Clearly separate facts from speculation (e.g., “If competitor X uses this model, then…”).
- Do not suggest unethical pricing tactics (e.g., price-fixing, predatory pricing).
Example Competitors: Acme SaaS (tiered $10/$30/$50), Beta Tools (flat $25), Gamma Cloud (usage-based); Industry: B2B project management software; Product: new PM tool with AI features, target $20–$40/month.
Follow-up prompts
- How can I test different price points with A/B testing on a small segment?
- What bundling strategies have worked in similar markets?
- Can you help me create a pricing page outline that communicates value clearly?