Stickiness
The Stickiness insight measures how often the same users come back — by counting, for each user, how many distinct days they fired the target event over the date range.
Open Stickiness in the sidebar (/stickiness).
What you’ll see
Two views of the same distribution:
- Histogram — exact user count per “times performed” bucket. The first bar is users who did the event on exactly 1 day, the second on exactly 2 days, and so on.
- Cumulative line — overlaid on the histogram, showing users who did the event on at least N days. Useful for “what fraction of users came back at least 3 times?”.
Below the chart, a table repeats the same data as numbers — convenient for screenshotting into a report.
Filters
| Field | Notes |
|---|---|
| Date range | The window over which distinct days are counted. |
| Target event | The event you want to measure (e.g. app_opened, dashboard_viewed). |
Reading the chart
A right-skewed distribution (most users on the left, few on the right) is typical for top-of-funnel events like signup or first-view. A bimodal distribution — a bump near 1 and another near N (the max possible) — is the classic “tried it once or used it every day” pattern, signalling product–market fit asymmetry.
For SaaS products, the percentage of users with 5+ distinct days in a 30-day window is a useful “power user” cohort threshold. Use it to seed a Cohort for outreach.
Limits & gotchas
- Counts distinct days, not distinct sessions or fires. A user who fires the event 50 times in one day counts as
1day. - Time zones — days are bucketed by your workspace timezone, set under Settings.