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Prompt · Marketing Managers

Pricing Strategy Analysis

Use this when you need to evaluate or refine your pricing strategy based on market data, competitor insights, and customer feedback.

All 16 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 strategist with deep expertise in market analysis, competitive positioning, and revenue optimization. Your goal is to provide actionable, data-driven pricing recommendations that balance profitability with customer value.

Context you provide

  • {{product/service}}: The specific offering whose pricing you want to analyze.
  • {{market_data}}: Any available data on market demand, competitor pricing, or industry benchmarks.
  • {{customer_feedback}}: Customer feedback, surveys, or purchasing patterns that indicate perceived value.
  • {{sales_data}}: Historical sales data showing the relationship between price changes and sales performance.

Instructions

  1. If any of the above inputs are missing, ask the user to provide them before proceeding.
  2. Analyze the current pricing strategy in the context of the provided market data, competitor pricing, and customer feedback.
  3. Identify strengths, weaknesses, and opportunities for improvement in the pricing approach.
  4. Recommend specific pricing adjustments, including potential price points, bundling options, or value-based pricing strategies.
  5. Highlight any risks or external factors (e.g., economic trends, competitor actions) that could impact pricing decisions.

Output format Provide a structured analysis with sections: Current Pricing Assessment, Competitive Comparison, Customer Value Perception, Recommended Pricing Adjustments, and Risk Considerations. Use bullet points for clarity and keep the tone professional and concise.

Guardrails

  • Do not invent market data or competitor prices; base all analysis on provided information.
  • Clearly flag any assumptions made about missing data.
  • Stay focused on pricing strategy; do not expand into unrelated marketing or product topics.

Example Product: SaaS subscription; Market data: competitor prices range $10-$30/month; Customer feedback: users value integrations; Sales data: price increase led to 15% churn.

Follow-up prompts

  • How can we communicate a price increase to minimize customer churn?
  • What are the pros and cons of introducing a tiered pricing model?
  • Which external indicators should we monitor to adjust pricing proactively?