Downloads are vanity. Installs are vanity. Revenue feels real but hides the mechanics underneath. The metrics that actually tell you whether your subscription app is healthy are the ones almost nobody puts on their dashboard.
D1, D7, D30 retention. What percentage of users who downloaded the app on a given day came back after 1 day, 7 days, and 30 days? Industry averages: D1 around 25–26%, D7 around 10–12%, D30 around 5–7%. If you’re below these, retention is a problem. If you’re significantly above them, you’re doing something right worth doubling down on.
These numbers by themselves are averages, and averages lie. Always segment them by platform (iOS vs. Android), acquisition source, and user type.
Trial-to-paid conversion rate. Of users who start a trial, what percentage become paying subscribers? Global median for subscription apps is around 30–35%, but varies sharply by category. Travel apps convert at 43.5% trial-to-paid. Health & Fitness sits at 37.7%. Photo & Video comes in at 22.2%. Know your category benchmark before deciding whether your rate is good or bad.
Subscriber retention at 6 months. What percentage of paying subscribers are still subscribed 6 months after converting? Monthly subscribers: median 14–26% retention at 6 months, with top-quartile apps reaching 30–50%. Weekly subscribers retain at 3–6% (median), significantly worse. If your business model relies on weekly billing, this gap is worth understanding deeply.
Activation rate. What percentage of new users complete your activation event (the specific action that predicts D30 retention) in their first session? If this is low, your onboarding isn’t getting people to the value moment fast enough.
Time to first Aha Moment. How long does it take from app open to the first meaningful value experience? Track this as an average and a distribution. If the median is 4 minutes but 40% of users never get there, you have a funnel problem, not a content problem.
Day 0 trial cancellation rate. Of users who start a free trial, what percentage cancel on the same day they start? Industry data shows 55% of 3-day trial users and 39.8% of 7-day trial users cancel on Day 0. If your rate is higher than these, the paywall itself (not the trial) is the problem.
Involuntary churn rate. What percentage of your subscription cancellations were due to billing failures rather than active cancellations? On Google Play this runs at 31% of cancellations; on the App Store, 14%. If you’re not tracking this separately, you’re conflating billing failures with genuine dissatisfaction.
Single-number retention metrics miss the most important dimension: time. Cohort analysis shows you whether the subscribers you acquired in January retain differently from those you acquired in April. A product change, a new acquisition source, or a pricing update can dramatically shift retention, but the effect only becomes visible when you look at cohorts, not aggregates.
Track at minimum: monthly cohort retention (subscribers by month of acquisition, tracked over 12 months) and new subscriber retention by acquisition source.
Revenue Lifetime Value in Year 1 (RLTV Y1) is the average revenue generated per paying user in their first 12 months. Global median across subscription apps is $23/payer. North America sits at $32.
This single number captures how well your pricing, retention, and trial strategy work together. If your RLTV is below the median for your geography, you have a retention and/or pricing problem worth diagnosing.
Retention metrics are only useful next to a reference point. These come from RevenueCat's 2026 report, covering 115,000+ apps, and each one changes what you would do about it.
Day-0 cancellation, the number most teams never look at
55% of users on 3-day trials cancel on day 0, before using anything. On 7-day trials it is still 39.8%.
This is not a retention problem, it is a paywall-moment problem. Over half hedged before the product got a chance, which means extending the trial changes nothing and the screen introducing it changes everything.
Trial-to-paid varies more by category than by anything you control
Travel converts at 43.5%, Health & Fitness at 37.7%, Photo & Video at 22.2%.
Comparing your rate to a cross-category average is close to meaningless. Compare within your own category or do not compare at all.
Trial length moves the number more than most founders expect
Trials of 17 days or longer convert at 42.5%. Trials of 4 days or shorter convert at 25.5%, a 67% difference.
Worth reading alongside the day-0 figure: long trials convert better, and short trials lose people before the product is ever opened.
Freemium looks worse than it is on a 30-day view
Hard paywalls convert at 10.7% download-to-paid at day 30 against 2.1% for freemium, but 23% of freemium conversions happen more than six weeks after download.
If you measure retention and conversion on a 30-day window, freemium will always look broken. The window is doing as much work as the model.
The practical order: measure day-0 cancellations first, because it is the cheapest thing to fix and the one most likely to be quietly large. Then pick your comparison set by category, not by industry average.
Trial-to-paid, day-0 cancellation, renewal rate by cohort, and retained lifetime value. Almost everything else is a slice of one of those. The one most teams never look at is day-0 cancellation, the people who cancel within hours of subscribing, because it points straight at a gap between what the paywall promised and what the app delivered.
It varies more by category than by anything you control, so a single industry benchmark will mislead you. Compare against apps in your own category, and more usefully against your own previous cohorts.
Long enough for a full cohort to reach its renewal point. Judging a change to a monthly product on two weeks of data measures noise. The cohort view exists precisely because calendar-month averages hide the shape of what is happening.
Reading about it is one thing. Knowing which change is worth making on your funnel, and what it is costing you today, takes a look at your numbers. I’ll do that and tell you what I’d fix first.
See App OptimizationConversion design for app creators. Screenshots, paywalls, onboarding — one funnel, not three projects.