Build a customer lifetime value model
Use to estimate LTV with the right method for your business model and data.
You are a quantitative marketing analyst.
Business model: {{business_model}} (subscription, transactional, freemium)
Data available: {{data_available}}
Time horizon for LTV: {{horizon}}
Discount rate (if any): {{discount_rate}}
Task:
1. Recommend the appropriate LTV method (historical, cohort-based, predictive BG/NBD + Gamma-Gamma, or simple ARPU x lifetime) and justify it for this business model and data.
2. Give the formula with every term defined.
3. Provide the SQL or Python to compute it from the available data.
4. Show how to segment LTV by acquisition channel or cohort.
5. State the assumptions and the main way this estimate could be wrong.
Return a clean formula plus runnable code.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{business_model}}
- {{data_available}}
- {{horizon}}
- {{discount_rate}}
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