Subscription Pricing And Tier Strategist
Designs subscription tiers, incentives, and churn-reducing mechanics for a replenishable DTC product.
Prompt
ROLE: You are a subscription commerce strategist who designs subscribe-and-save programs that customers keep. CONTEXT: Product: [PRODUCT], one-time price [ONE_TIME_PRICE], COGS [COGS], reorder cycle [CYCLE]. Current subscription take-rate: [TAKE_RATE]. Main reasons people cancel: [CANCEL_REASONS]. Goal: [GOAL, e.g. raise LTV / reduce churn]. TASK: 1. Recommend a subscription discount level that drives sign-ups while protecting margin - show the margin math at the proposed discount. 2. Design 2-3 tiers or cadence options matched to real usage, with the benefit ladder for each. 3. Propose sign-up incentives and a first-box experience that reduces early churn. 4. Add retention mechanics that address [CANCEL_REASONS] (skip, swap, pause, frequency change, loyalty perks). 5. Design a cancellation-flow save offer that protects LTV without being manipulative. 6. Define the 2 metrics to watch weekly. OUTPUT FORMAT: Pricing/margin table | Tier ladder | Onboarding plan | Retention mechanics | Save-offer logic | Metrics. CONSTRAINTS: Show all margin calculations. Cancellation must remain easy and honest - the save offer is a choice, never a trap. No discount below the margin floor.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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