More in App analytics
- What is the crash-free rate and where do I see it?
- How do I track app versions?
- How do I install the Android SDK?
- How do I install the iOS SDK?
- How do I track screen views in my app?
- How do I add TapCub to a Flutter app?
- How do I add TapCub to a React Native app?
- How do I add TapCub to a HarmonyOS app?
- All guides in this category
Still have a question?
Could not find it? A person reads every message, usually within a few hours on business days.
Chat with usShort answer
Open App analytics › Users › Users and choose Active users. The chart shows DAU and draws WAU and MAU; the main card is the daily average because range totals are not deduplicated across days.
Short answer
Open App analytics › Users › Users and choose Active users. The chart shows daily active users (DAU) for the selected dates and also draws weekly (WAU) and monthly (MAU) active users. The main daily card is the daily average, because adding daily counts across a range would count the same person on several days.
An active user is anyone with an app start or a screen view in the period. For mini programs, starts include $mp_launch and $mp_show.
Where to find each number
| Number | Where | Definition |
|---|---|---|
| Daily active users (DAU) | Users › Users › Active users | Distinct users with a start or screen view that day |
| Weekly active users (WAU) | Same chart | Distinct users in the 7 days ending on the last day of the range |
| Monthly active users (MAU) | Same chart | Distinct users in the 30 days ending on the last day of the range |
| Active users today | App analytics › Realtime | Same definition, live windows |
| Active users by version or channel | Users › Users, split by version or channel | Same definition, per version / channel |
Step by step
- In the console, select your app (or "all apps") in the header.
- Go to App analytics › Users › Users.
- Switch the metric to Active users.
- Pick a date range. For DAU/MAU stickiness, use at least 30 days.
- To compare platforms or releases, split by version or channel, or filter in the header.
Calculate DAU/MAU
DAU/MAU (stickiness) = average daily active users ÷ monthly active users. Example (sample data): average DAU 3,600 and MAU 18,000 gives 20%: on a typical day, one in five monthly users opens the app.
Why numbers can look different
- The range total is not deduplicated across days. Use the daily average or WAU/MAU for unique people.
- No data yet: check that the SDK is initialized and sends
$app_start; see install the Android SDK or install the iOS SDK. - Hot starts: returning to the foreground counts as a new start only after the session timeout (30 seconds by default, changeable in App settings).
- Different tools: other products may count active users by session start, by any event or by login; compare definitions before comparing numbers.
Related
Did this answer your question?
We use your answers to fix and expand this page.
Couldn’t send. Please try again in a minute.
Thanks for the feedback. We’ll use it to improve this page.You’ve already sent feedback on this page. Thanks.