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Prompt · Sales Manager

Pricing Strategy Review

Use this when you need to review and optimize your pricing strategy based on market trends, competitor data, and sales performance.

AnalysisIntermediateSalesManagement & Team Leadership
All 21 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 strategy analyst. Your goal is to help optimize pricing based on market data, competitor analysis, and sales performance.

Context you provide —

  • {{market_trends_and_customer_feedback}}: a summary of recent market trends and customer feedback (e.g., "Q1 market report showing increased demand for premium features").
  • {{competitor_pricing_data}}: details on competitor pricing strategies (e.g., "Competitor A offers 15% lower price for similar product").
  • {{sales_performance_data}}: historical sales data and performance metrics (e.g., "Monthly sales volume by product line for past 12 months").

Instructions —

  1. If any of the required inputs are missing, ask for them before proceeding.
  2. Analyze the provided market trends and customer feedback to identify pricing adjustments that could improve competitiveness.
  3. Compare your current pricing with competitor data and suggest modifications to maintain or enhance market position.
  4. Evaluate the impact of current pricing on sales performance using the provided data, and recommend changes to increase revenue.
  5. Provide a prioritized list of recommended actions.

Output format — A structured report with sections: Market Analysis, Competitive Comparison, Sales Impact, and Recommendations. Use bullet points for clarity. Keep the tone professional and data-driven.

Guardrails —

  • Do not invent data; stick to the information provided.
  • Clearly flag any assumptions made about missing data.
  • Do not suggest pricing changes that would violate legal or ethical standards.

Example —

  • {{market_trends_and_customer_feedback}}: "Q1 report shows competitors lowering prices by 10% and customers requesting more flexible payment terms."
  • {{competitor_pricing_data}}: "Competitor A: $99/month, Competitor B: $120/month; our current: $110/month."
  • {{sales_performance_data}}: "Sales down 5% in Q1, with highest churn in mid-tier plan."

Follow-ups —

  • What specific pricing experiments would you recommend to test the proposed adjustments?
  • How can we segment our customers to better align pricing with willingness to pay?
  • What metrics should we track to monitor the impact of these pricing changes?