Using product usage data to predict customer lifetime value (CLTV) – anyone cracked the code on this?

I’m working on a CLTV model using in-app behavior rather than just basic cohort data.

Things like session frequency and feature adoption look good, but they don’t seem to line up with actual revenue.

Curious about any metrics that truly help in predicting long-term value?

Payment history beats usage patterns every single time.