Subscriber - Retention
Introduction
Subscriber retention answers one of the most important questions in any subscription business: once someone signs up, how long do they stay? The Retention tab tracks each month's group of new subscribers and shows you what percentage of them are still active one month later, two months later, and so on.
This is where you find out whether the subscribers you work hard to acquire actually stick around long enough to become profitable — and exactly which month tends to be the point where people drop off.
Understanding cohorts
Retention is measured using cohorts. A cohort is simply the group of all subscribers who started their first active subscription in the same month. Everyone whose first subscription activated in July 2025 belongs to the "Jul 2025" cohort, and — just like on the LTV tab — a subscriber stays in their original cohort permanently.
Each cohort is then followed forward in time. Month 0 is the subscriber's starting month, Month 1 is one month later, and so on. For every month, Joy Subscriptions calculates the percentage of that original cohort still active.
Example — how one cohort retains over time
| Month | Subscribers still active | Retention |
|---|---|---|
| Month 0 | 662 of 662 | 100% |
| Month 1 | 543 of 662 | 82% |
| Month 2 | 497 of 662 | 75% |
| Month 3 | 457 of 662 | 69% |
| Month 6 | 318 of 662 | 48% |
| Month 11 | 99 of 662 | 15% |
Two things to notice:
- Month 0 is always 100% — everyone in the cohort is active in their starting month by definition.
- The percentage is always measured against the original cohort size (662 here), never the number still active. This gives you the true survival rate of the subscribers you acquired that month.
How to open the Retention report
Step 1: Navigate to Analytics in the Joy Subscriptions sidebar.
Step 2: Select Subscriber from the page title dropdown.
Step 3: Click the Retention tab. Use the month range picker in the filter bar to choose which cohorts appear in the table.
How to read the retention table
Step 1: Find the Subscriber retention by month table. Each row is one monthly cohort of new subscribers.
Step 2: Read each row from left to right:
- The Month column shows the cohort name (for example, "Jul 2025").
- The Subscribers column shows how many people started their first active subscription that month — the cohort's original size.
- The Month 0 through Month 11 columns show the percentage of that cohort still active at each stage.
Step 3: The first row, All cohorts, shows the weighted average retention across every cohort in your selected range. Use it as a benchmark to judge whether an individual cohort is performing above or below your norm.
Step 4: Read the table as a heat map. Darker cells mean higher retention; lighter cells mean more subscribers have left. Scanning down a single column (for example, Month 3) quickly shows whether your retention at that stage is improving or declining across newer cohorts.
Cells showing "—" mean the cohort has not reached that month yet. A cohort that started three months ago will only have data through Month 3.
Step 5: Hover over any cell to see the detail behind the percentage — for example, "75% (497 of 662) subscribers from Jul 2025 remained active after Month 2."
How to find your drop-off point
Read across any cohort row and look for the biggest single drop between two months. That gap is your churn cliff — the stage where you lose the most subscribers.
For many stores the largest drop happens between Month 0 and Month 1 (the first renewal) or around Month 5–6 (subscription fatigue). Knowing exactly where your cliff is tells you where to focus:
- A steep Month 0 → Month 1 drop usually means the first renewal charge surprises people, or the first delivery didn't meet expectations. Consider a welcome sequence, a clearer first-order summary, or a trial period.
- A steep drop around Month 5–6 usually means subscribers have accumulated enough product. A skip, pause, or change-frequency prompt often keeps them subscribed instead of cancelling.
Tips and best practices
- Compare newer cohorts against older ones in the same column. If your recent cohorts retain better at Month 3 than cohorts from six months ago, your onboarding and product experience are improving.
- Use retention alongside LTV. High retention with flat LTV means subscribers stay but don't spend more; low retention with high early LTV means people buy a lot then leave. The two tabs together tell the full story.
- When you spot a low-retention cohort, check what happened that month — a discount campaign that attracted bargain hunters, a stockout, or a shipping delay can all show up as a weak cohort.
- Pair the retention view with the Churn tab to see not just how many left, but why they left (active, passive, or expired churn).
- Retention improves slowly, so review it monthly rather than daily. Small, consistent gains in Month 1 retention compound into large gains in lifetime value.
Overall
The Retention report shows you the survival rate of every group of subscribers you acquire, month by month. By reading each cohort across time and comparing newer cohorts to older ones, you can pinpoint exactly where subscribers drop off and measure whether your retention efforts are working. Use it to find your churn cliff, then act on it with the tools in your Cancellation Flow, Customer Portal, and plan settings — and confirm the impact by watching newer cohorts hold on longer.