Retention analysis is the work you do before you decide what to fix. It tells you which customers are leaving, when in their lifecycle they leave, and — if you have done it well — why. Skipping this step is how merchants spend money on loyalty programs and win-back emails that target the wrong problem.
The core views in a retention analysis
- Cohort retention curves. Group customers by signup month and chart the percentage still active at 30, 60, 90, 180, and 365 days. Different curves for different cohorts is where the story lives.
- Churn timing distribution. When in the lifecycle does churn happen? Heavy churn in the first cycle usually means a fit or expectation problem; steady late churn means the product loses its job over time.
- Segment cuts. Retention by acquisition channel, by first product, by plan tier, by discount used at signup. Big differences here point directly at acquisition decisions that are quietly destroying LTV.
- Cancellation reasons. Both the structured menu (price, fit, life change, switching to a competitor) and the free-text comments. The free-text is where the surprises are.
Connect retention analysis to action
The point of analysis is to choose where to spend retention effort. If 60% of churn happens in the first 30 days, your onboarding is the leak — loyalty programs will not help. If churn is concentrated in customers acquired through a specific paid channel, you have an acquisition-quality problem, not a retention problem. If retention is fine but LTV is weak, the issue is order value or frequency, not stickiness.
How often to run retention analysis
Most subscription merchants run a deep retention review quarterly and watch monthly retention metrics on a live dashboard. After any major change — pricing, product, packaging, ad creative — flag the cohort and watch its curve diverge (or not) from prior cohorts.
Tools and data sources
You can do an honest first pass with Shopify reports plus a spreadsheet — export orders, group by customer, count active months. Subscription apps and analytics tools (including Joy Subscriptions' merchant dashboard) automate the cohort and churn-reason views once volume gets past a few hundred subscribers.