cohort-analysis

You can analyze user retention and LTV by acquisition channel by grouping users into cohorts based on signup date and channel to track retention curves and revenue trajectories over time. This reveals which channels bring in more valuable, long-term users.

Cohort analysis is a technique that groups users by shared characteristics like signup date or plan tier to track behavior over time. It identifies high-retention segments by correlating hedge performance with retention to differentiate active cohorts from churned ones.

You track retention curves for users acquired through different platforms by segmenting users into cohorts by acquisition channel, such as YouTube versus Discord, and monitoring their activity levels over a specified period to determine long-term value.

Yes, you can use cohort segmentation to correlate hedge performance with revenue trajectories by grouping users by prop firm and plan tier. This approach tracks revenue over time and identifies factors that differentiate high-retention cohorts from churned ones.

This cohort analysis tool requires user data containing signup dates, acquisition channels, plan tiers, and prop firm associations to effectively group users and track retention curves. No specific external dependencies are needed to run the scripts.