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Dashboard

Dashboard cards summarize key metrics for your app.

 

 
In this article:
        screenshot of user interface showing all steps numbered
        Dashboard cards

1 Active users

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).

2 Average revenue

Average revenue per user (ARPU) and average revenue per paying user (ARPPU) for the Monthly Active, Weekly Active, and Daily Active Users shown on the step 1 Active Users card. 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.

3 first_open attribution

The number of times the app was opened for the first time and the lifetime value (LTV) of the users who opened it, broken down by source. Your top five ad networks or sources are displayed. You must configure each network on the Attribution tab.

Note that a first_open event is not triggered when a user downloads the app onto a device, but instead when he or she first uses it. To see raw install counts, look in Google Play Developer Console or in iTunesConnect.

4 Retention cohort

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.

chart showing percent values from week to week
Retention cohort chart

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.

5 User engagement

  • 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.
  • User engagement per screen: This table offers a breakdown of user engagement time per screen for the most popular screens in your app.  Use the drop-down to select either Screen Class or Screen Name. Learn more

6 In-App purchases

  • Users: number and percentage of users who completed in-app transactions (in_app_purchase)
  • Count: number of transactions, and percentage change from comparison period
  • Value: revenue from transactions, and percentage change from comparison period

7 App version

Number of users for each of your top three app versions and Other, the sum of all other app versions.

8 Devices

  • Percentage of users on each of the top three device models and Other, the sum of all other devices.
  • Percentage of users on each of the top two OS versions and Other, the sum of all other OS versions.

9 Location

Percentage of sessions from each of your top countries.

10 Demographics

Percentage of male and female users, by age group.

11 Interests

Percentage of users in each interest group.

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