The following tables list the tracking and calculation rules of all the basic indicators that you see in the basic analysis reports. You might see all or some of the following indicators, which is subject to your actual workspace.
If an indicator is time-sensitive, the value of the indicator is subject to the time the server receives the reported logs.
Data overview
Real-time dashboard
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Startup times | Active device/user tracking | Total number of times that users start the app, including cold start and the case that the system brings app activity to the foreground. | Not distinct | Realtime |
Active users | Active device/user tracking | Total number of distinct device IDs that log in to the app within a specific period. | Distinct | Realtime |
Active accounts | Active device/user tracking | Total number of distinct user IDs that are used to log in to the app within a specific period. | Distinct | Realtime |
Historical trend
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Startup times | Active device/user tracking | Total number of times that users start the app, including cold start and the case that the system brings app activity to the foreground. | Not distinct | Not real-time |
Active users | Active device/user tracking | Total number of distinct device IDs that log in to the app within a specific period. | Distinct | Not realtime |
Cumulative users | Active device/user tracking | Total number of users visiting an app after the app connects to Mobile Analysis Service, that is, total number of distinct device IDs. | Distinct | Not realtime |
New users
| Active device/user tracking | New distinct device IDs that log in to the app within a specific period. | Distinct | Not realtime |
Active accounts | Active device/user tracking | Total number of distinct user IDs that are used to log in to the app within a specific period. | Distinct | Not realtime |
Cumulative accounts | Active device/user tracking | Total number of distinct user IDs that are used to log in to the app after the app connects to Mobile Analysis Service. | Distinct | Not realtime |
Basic analysis
Behavior analysis
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Users’ active hours | Backend tracking | A user's active hours is subject to the time the user starts to use the app, which is calculated based on the time the log is reported minus the backend duration. Active hours are based on two hours’ period starting from 0:00, for example, 2:00~4:00 am. For example, if a user starts to use the app at 7:55 am and the app goes to backend at 8:05 am, then the user’s active hours are 6:00~8:00 am. | Not distinct | Not realtime |
Daily user engagement: duration/day | Backend tracking | Total duration (seconds) of using the app by users divided by the distinct count of user IDs. The backend tracking records the time when the app page appears on the foreground each time, and calculates the accumulative usage time length of the app based on the time recorded. | Distinct | Not realtime |
Download channels | Active device/user tracking | Top 3 channels from which users download the app, aggregated by the channel field based on active device tracking. Downloading the app for multiple times on the same channel by the same user are counted only once. For example, if a user downloads the app once from Channel C1 and twice from Channel C2, C1 and C2 are both counted only once. | Distinct | Realtime |
Startup speed | Performance tracking | Average startup time for first-time startup and non-first-time startup, in seconds. The first startup refers to starting an app for the first time after the app is installed; non-first startup refers to restarting an app after the first-time app startup and exit. | Not applicable | Realtime |
Page traffic | Page automation tracking | Indicates where a specific page comes from and goes to. Based on the | Not distinct | Not realtime |
Users by region | Active device/user tracking | Top 5 regions that have most app users (de-duplicated), aggregated by the region field based on active device tracking. Meanwhile, the proportion of users in each top 5 region to the total number of all app users is shown. For map of China, the top 5 provinces are shown; for the world map, the top 5 countries are shown. For example, for map of China, if a user logged in twice in Province A in the morning and once in Province B in the evening, Province A and B are both counted only once. | Distinct | Realtime |
Retention analysis
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Retention rate | Active device/user tracking | Retention rate refers to the number of new users who retained in the following 7 days since their first visit to an app on a certain day divided by the total count of new users, shown in the form of line chart. For example, the count of new users on day T is N, the count of N new users who log in again on day T+1 is M1, and the count of users who log in again on day T+7 is M7. Thus, the retention rate for day T+1 is M1/N, and the rate for day T+7 is M7/N. | Distinct | Not realtime |
Page analysis
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Number of users | Page automation tracking | Count the devices (deduplicated by device ID) visiting the current page. | Distinct | Not realtime |
Number of accounts | Page automation tracking | Count the users (deduplicated by user ID) visiting the current page. | Distinct | Not realtime |
PV | Page automation tracking | Total page views of the current page. | Not distinct | Not realtime |
Exit rate | Page automation tracking | Exit rate = (total non-deduplicated PVs on the current page - non-deduplicated PVs with current page as source page)/total PVs on the current page | Not distinct | Not realtime |
Time on page | Page automation tracking | Total time on the current page divided by total PVs on the current page. | Not distinct | Not realtime |
Device analysis
Indicator | Tracking | Calculation rule | Distinct or Not | Realtime or Not |
Startup times | Active device/user tracking | Total number of times that users start the app by device model, including cold start and the case that the system brings app activity to the foreground, counted by device model. | Not distinct | Not realtime |
Active users | Active device/user tracking | Total number of distinct device IDs that log in to the app within a specific period, counted by device model. | Distinct | Not realtime |
New users
| Active device/user tracking | New distinct device IDs that log in to the app within a specific period, counted by device model. | Distinct | Not realtime |
Active accounts | Active device/user tracking | Total number of distinct user IDs that are used to log in to the app within a specific period, counted by device model. | Distinct | Not realtime |