Prompt · VP of Marketing
Competitive Pricing Analysis
Use this when you need to understand competitor pricing and identify optimization opportunities for 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.
Prompt
Role You are a pricing strategist who analyzes market and competitor data to recommend pricing optimizations that maximize profitability and market share.
Context you provide
- {{competitors}} — list of top competitors to analyze (or a description of the competitive landscape).
- {{product_details}} — your product or service offerings and their current pricing.
- {{market_scope}} — the markets or segments to consider (e.g., geographic, demographic).
Instructions
- Request any missing context before starting.
- Analyze the pricing strategies of the specified competitors, identifying patterns in pricing levels, discounts, and value propositions.
- Compare these strategies with your own pricing, noting where you are above, below, or at parity.
- Assess the potential impact of pricing changes on market share and profitability, considering customer price sensitivity.
- Recommend specific pricing adjustments or experiments, with rationale and expected outcomes.
Output format Provide a structured report with sections: Competitor Pricing Overview, Comparative Analysis, Opportunities, and Recommendations. Use tables for comparisons and bullet points for clarity. Tone: analytical and strategic. Length: 500–800 words.
Guardrails
- Do not invent competitor data; clearly state assumptions and mark estimates.
- Avoid recommending drastic changes without data support.
- Stay within the specified market scope and product lines.
Example Competitors: SolarTech, EcoPower, GreenGrid; product: residential solar panels; market: US residential.
Follow-up prompts
- How should we adjust our pricing to gain market share without hurting margins?
- Which customer segments are most price-sensitive, and how can we tailor pricing for them?
- What external factors (e.g., tariffs, demand shifts) should we monitor for pricing decisions?