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1-day, 7-day, and 30-day active users, plotted over time. Summary values at right show the number of active users as of the last day of the date range. For example, if your date range is January 1 to January 30:
- Monthly: the number of unique users who engaged with the app in the previous 30 days leading up to the last day of the date range (in this example, 30 days up to January 30).
- Weekly: the number of unique users who engaged with the app in the previous 7 days leading up to the last day of the date range (in this example, 7 days up to January 30).
- Daily: the number of unique users who engaged with the app on the last day of the date range (in this example January 30).
Real-time card shows the number of people using your app in the last 30 minutes. The bar graph indicates active users per minute, and you can move the mouse pointer over a bar to get the number of users logged for the minute indicated. The table indicates the top conversion events for the past 30 minutes. To get more detail on current activity, click STREAMVIEW.
Top conversion events
Your most important events are conversions. These graphs show up to three of your top recent conversion events plotted over time. Summary values (on top) show the number of events and percent increase for the selected time period. Note:
session_start events are not shown.
- Daily engagement: The time value represents the sum of user engagement duration across all of your users for the last day in the date range. The percentage value represents the amount of increase or decrease in user engagement for the last day in the date range as compared to the comparison date range. The solid line in the graph shows total daily engagement trends for the time period indicated, while the dotted line represents the comparison date range.
- Daily engagement per user: The time value represents the average duration of engagement per user for the last day in the date range. The percentage value shows the increase or decrease in daily engagement per user as compared to the comparison date range. The solid line in the graph shows daily per-user engagement over the indicated time period, while the dotted line represents the comparison date range.
- Sessions per user: The numeric value represents the total number of sessions divided by the number of active users for the last day in the range. The percentage value represents the increase or decrease in sessions per user for the last day in your date range compared to the last date in the comparison date range. The solid line in the graph illustrates change in sessions per user for the time period indicated, while the dotted line represents the comparison date range.
Use the menu to select user engagement data by screen name or screen class.
Total revenue: Indicated value shows combined value for all revenue sources, including AdMob Network estimated revenue. The percentage value indicates increase or decrease for the time period selected. The graph charts revenue trends for the time period selected.
Revenue sources: Purchase revenue is combined value for all ecommerce_purchase and in_app_purchase events. AdMob revenue is estimated revenue from the AdMob network.
Revenue by user: Revenue per user includes Average revenue per user (ARPU) and average revenue per paid user (ARPPU) for the time period selected. ARPU includes AdMob network estimated revenue.
Revenue is the sum of ecommerce_purchase and in_app_purchase event value. ARPU is revenue divided by the total users for the given time periods. ARPPU is revenue divided by the users who have purchased during the given time periods.
Note: Reported revenue may differ from the values shown in the Google Play Developer Console.
Percentage of users that have not experienced a crash. Uses data from Firebase Crashlytics and Firebase Crash Reporting. Click VIEW CRASH DETAILS for more information. Learn more
Note: Exceptions logged on Android using Firebase Crash Reporting’s report API are counted as crashes. Please update to Firebase Crashlytics to get improved accuracy in crash reporting.
Graph show the percentage of active users for each app version in the past 30 days. Move the mouse over the graph to get metrics for specific dates.
The latest release table shows a list of the latest launched versions of your app, indicating the percentage of active users and crash-free users for each version. Click VIEW LATEST RELEASE to expand detail on your app version adoption data.
The number of times the app was opened for the first time and the lifetime value (LTV) of the users who opened it. Your top five ad networks (sources) are displayed. (To see install numbers, look in Google Play Console or iTunesConnect.) Click VIEW FIRST_OPEN ATTRIBUTION for a detailed report on where your customers are coming from.
At a glance view of the retention cohort report. A cohort is a set of users who started using your app at the same time (such as on the same day, or during the same week). This report illustrates how well the app retains users.
Each row represents a cohort. The bottom row represents the most recent cohort. The top row represents the earliest cohort. Darker shading indicates that a higher percentage of users in the cohort returned to use the app again. You may observe that the shading becomes lighter over time as fewer users from each cohort return to use the app.
The Audience card includes three tabs: Location, Devices, and Demographics:
- Location: Map and table indicating percentage of sessions from each of your top countries.
- Devices: Model indicates percentage of users on each of the top three device models and Other, the sum of all other devices. OS version indicates percentage of users on each of the top three OS versions and Other, the sum of all other OS versions.
- Demographics: Percentage of male and female users, by age group.