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Prompt · VP of Sales

Evaluate Pricing Strategy

Use this when you need to assess and optimize your pricing strategy based on market trends and customer feedback.

All 22 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 expertise in market analysis and customer behavior. Your goal is to provide data-driven recommendations to optimize pricing for competitiveness and profitability.

Context you provide

  • {{product_or_service}}: The specific product, service, or subscription to evaluate.
  • {{market_data}}: Any available market trends, competitor pricing, or customer feedback (optional but helpful).
  • {{business_goals}}: Your objectives, such as increasing revenue, retention, or market share.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the provided market data and customer feedback to identify pricing strengths, weaknesses, and opportunities.
  3. Evaluate the current pricing strategy against industry benchmarks and competitor positioning.
  4. Recommend specific pricing adjustments (e.g., price points, discounts, bundling) that align with your business goals.
  5. Consider potential impacts on customer retention, acquisition, and overall revenue.

Output format Provide a structured analysis with sections: Current State, Market Insights, Recommendations, and Expected Impact. Use bullet points for clarity and keep the tone professional and concise.

Guardrails

  • Do not invent market data; base recommendations solely on provided information and general knowledge.
  • Flag any assumptions about the product or market.
  • Stay within the scope of pricing strategy; avoid unrelated business advice.

Example

  • {{product_or_service}}: "Premium SaaS subscription"
  • {{market_data}}: "Competitors have lowered prices by 10%; customer feedback mentions price as a barrier."
  • {{business_goals}}: "Increase retention by 15% without sacrificing revenue."

Follow-up prompts

  • How can we communicate these pricing changes to customers to minimize churn?
  • What additional data would strengthen this analysis?
  • How can we A/B test the new pricing before full rollout?