Anonymised selected engagement
Subscription SaaS Retention and Lifecycle Recovery
How cohort analysis identified a day-seven onboarding constraint and helped D30 retention recover from 28% to 38% over 60 days.
Problem
D30 retention had declined from 42% to 28% over two quarters, but aggregate dashboards did not reveal which onboarding behaviour was associated with the change.
Approach
Cohort analysis connected the retention decline to a day-seven onboarding step. A targeted lifecycle sequence and in-product intervention were then introduced at that moment.
Observed result
D30 retention increased from 28% to 38% within the 60-day intervention period. Estimated lifetime value improved by approximately 30% across the measured new cohorts.
How it was measured
New-user cohorts were compared using the client’s product-event and lifecycle data. Retention is reported as a percentage-point change; the LTV effect is an estimate based on observed retention movement.
Limitations
The client is anonymised. Cohort composition and seasonality can influence retention, and the observed improvement should not be interpreted as a guaranteed causal effect in another business.