LTV & cohorts: are customers worth more over time?

An average LTV hides the truth; cohorts reveal it. Track what each month's new customers are worth over time to know if the business is compounding or leaking.

Lifetime value decides how much you can spend to acquire a customer, but a single blended LTV number is misleading, it averages loyal and one-time buyers and lags reality. Cohort analysis (grouping customers by join month and tracking their cumulative value) shows whether retention is improving and what a customer is really worth. AI builds the cohort math from your data; you supply the real orders.

A single average LTV blends your loyal buyers with your one-and-dones and lags months behind reality. Cohorts, grouping customers by the month they joined and tracking their cumulative value, show whether retention is actually improving.

AI can build the cohort table and contribution-based LTV from your data; you supply the real orders, because AI can't see them and must never invent them.

What you'll learn

Use contribution-based LTV, not revenue
Group customers into cohorts by join month
Read the trend across cohorts
Don't trust a single blended LTV