Cohort Analysis
Group users by signup week and track retention, revenue, and engagement over time. Understand which acquisition channels produce sticky customers.
Overview
Cohort analysis segments your user base into groups based on a shared starting event — typically the week they created an account or made their first purchase. Meridian then tracks each cohort across subsequent weeks, measuring retention rates, cumulative revenue, and feature adoption.
Key Metrics
- Week-N Retention — percentage of the cohort still active N weeks after signup
- Cumulative LTV — total revenue generated by the cohort divided by cohort size
- Feature Stickiness — daily active usage of core features within the cohort window
Reading the Heatmap
Meridian renders cohort data as a color-coded grid. Rows represent cohorts (e.g., “Week of Jan 8”), columns represent relative weeks since signup. Darker violet cells indicate higher retention; lighter pink cells signal drop-off. Hover any cell to see the exact percentage and cohort size.
Example
A cohort of 340 users from Week 1 shows 72% retention at Week 4 and $4.20 cumulative LTV. The same cohort from a paid ad channel shows 48% retention — revealing organic signups are 1.5× stickier.
Filtering Cohorts
Slice cohorts by acquisition channel, plan tier, geography, or campaign UTM parameters. Compare cohorts side-by-side to identify which segments deliver the highest long-term value.
Export & API
Download cohort tables as CSV or access raw data via the Meridian Analytics API. Use the /v2/cohorts endpoint with date range and segment filters to build custom dashboards.