Challenge
A B2C subscription business was scaling acquisition but didn’t have a clear view of which customers were worth more over time. Marketing was optimizing for sign-ups and first-year revenue; finance and growth wanted to know true lifetime value by segment and channel so they could cap acquisition cost and prioritize retention where it mattered most.
We were asked to build a customer lifetime value (CLV) model: predict expected value per customer or segment, validate it against historical cohorts, and deliver rules for how to use CLV in acquisition and retention decisions.