Metrics
What Are Active Users in GA4?
Updated 2026-09-043 min read
Short answer
Active users is the number of distinct people who engaged with your app during the period you selected. One person using the app ten times in a day counts once for that day.
Active users is the headline number in most analytics screens, which makes it the number people most often misread. Three properties of it explain nearly every surprise.
It counts people, not openings
A person who opens your app once and a person who opens it fifteen times contribute the same amount to the active user count for that day: one. If you want to know how often people come back within a day, active users is the wrong metric — you are looking for sessions or events.
Person A opens the app 12 times Person B opens it twice Person C opens it once Active users: 3 Sessions: 15
It depends entirely on the period
There is no such thing as "the" active user count. The number is defined by the window you chose, and windows do not add up. A month is not thirty daily counts added together, because most of those people appear on more than one day.
| Window | Common name | Counts |
|---|---|---|
| 1 day | DAU | Distinct people active that day |
| 7 days | WAU | Distinct people active in those 7 days |
| 30 days | MAU | Distinct people active in those 30 days |
Careful: Adding seven daily counts to get a weekly figure inflates it, often severely. Someone who uses the app every day would be counted seven times instead of once.
It requires engagement, not just a launch
GA4 counts a user as active when there is a qualifying engagement, not merely because a process started. In practice this rarely changes the picture for a normal app, but it does explain why active users can be slightly lower than raw open counts, and why an app that crashes instantly on launch may record fewer active users than installs.
Active is not the same as returning
Active users includes everybody who engaged in the window — people using the app for the first time and people who have used it for a year. It is not a loyalty measure. Splitting new from returning is a separate question, covered in its own article.
How this looks in Appnaly
Appnaly shows several windows side by side — a recent live window, yesterday, the last seven completed days, the last thirty — rather than a single "users" number. That layout exists because the windows answer different questions, and because comparing them is what actually reveals a trend. A day that is far below the seven-day pattern is visible immediately when both are on screen.
When figures from more than one connected property are combined, Appnaly states that users are not deduplicated across them. That is a real limitation of the underlying data rather than a rounding note, and it matters most when the same person could plausibly appear in two of your properties.
Tip: If you want a single number that says something about habit rather than reach, the ratio of daily to monthly active users is more informative than either figure alone.