Day-0 trial cancellation
Trial-regret / paywall-trap signal (rising YoY).
- Formula
- Cancels on day 0 / trial starts
- Unit
- %
- Models
- Subscription
| day-0 share of 3-day-trial cancellations | 55.4% | RevenueCat 2026 |
| by end of day 1 share of 3-day-trial cancellations | 84% | RevenueCat 2026 |
What it is
Day-0 trial cancellation measures the share of trial cancellations that occur on the same day the trial begins. The formula is: Cancels on day 0 / trial starts. It isolates immediate disengagement — users who never gave the product a meaningful chance.
How to calculate it
For a cohort of trial starts, identify all cancellation events and filter for those occurring on day 0 (i.e., within the first calendar or 24-hour window). Divide by total trial starts in the same cohort. This metric is most meaningful on short trials (3-day, 7-day) where the day-0 signal carries outsized weight.
Why it matters
Day-0 churn is disproportionately costly for subscription businesses because it represents acquisition spend with zero monetization yield. For apps running short (3-day) trials, it signals onboarding failure: the user saw enough to start but not enough to stay. Reducing day-0 cancellation is often the highest-leverage activation improvement available, since it affects the largest concentration of at-risk users in the shortest time window.
Benchmarks & pitfalls
RevenueCat (2026) found that 55.4% of all 3-day-trial cancellations happen on day 0, and 84% occur by the end of day 1. These figures apply specifically to 3-day trial structures — the concentration of cancellations on day 0 will differ for 7-day or 30-day trials, where users have more time to explore. The metric is most useful as a directional signal for onboarding quality; track changes over time relative to your own baseline rather than comparing raw rates across products with different trial lengths.