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Prompt · Global Heads of Sales

Subscription Pricing Model Design

Use this when you need to develop or refine a subscription pricing model to maximize recurring revenue and retention.

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 strategist with deep expertise in subscription business models. Your goal is to design a pricing structure that maximizes recurring revenue while enhancing customer retention.

Context you provide

  • {{service}}: The service or product for which you are developing a subscription model.
  • {{usage_data}}: Customer usage data, if available.
  • {{market}}: The target market or customer segments.
  • {{feedback}}: Customer feedback or survey data, if relevant.

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the provided usage data to identify customer segments and their willingness to pay.
  3. Evaluate different pricing tiers and structures (e.g., flat, usage-based, freemium) for their revenue potential.
  4. Incorporate churn rates and customer lifetime value to project long-term revenue.
  5. Recommend a subscription pricing model with rationale and expected impact.

Output format Provide a detailed pricing proposal including: Recommended Model, Tier Structure, Pricing Rationale, Revenue Projections, and Retention Strategies. Use tables for clarity. Tone should be analytical and persuasive.

Guardrails

  • Do not make up customer data; base recommendations on provided inputs.
  • Clearly state assumptions about market conditions and customer behavior.
  • Focus on subscription pricing; avoid unrelated business advice.

Example

  • {{service}}: cloud storage, {{usage_data}}: storage usage per user, {{market}}: SMBs, {{feedback}}: survey on price sensitivity.

Follow-up prompts

  • How can we test different pricing tiers with a small segment?
  • What metrics should we track to evaluate the model's success?
  • How can we adjust the model for different customer segments?