cohort-analysis

Cohort analysis groups customers by acquisition time, channel, behavior, or revenue tier, then computes retention matrices and LTV trajectories to measure retention patterns. It compares cumulative LTV and payback periods across cohorts to guide budget decisions.

A retention matrix computes retention rates over consistent time intervals to visualize cohort trajectories for easy comparison. Cohort health scoring ranks these cohorts using churn rate, engagement score, and cumulative LTV to guide lifecycle optimization.

Yes, cohort segmentation groups customers by acquisition channel to reveal what drives durability. You can compare LTV trajectories and payback periods across these cohorts to identify which channels produce the highest-value long-term customers.

Yes, the cohort analysis computes retention curves and LTV trajectories from merged CRM and analytics data. Combining these sources allows you to track longitudinal trends, assess payback periods, and generate targeted intervention recommendations.

The analysis estimates cumulative LTV, churn rate, and engagement score to rank cohorts by health. Ranking these cohorts across defined time granularities helps prioritize targeted interventions and optimize budget allocation for lifecycle marketing.