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GoodBarber internal statistics | Native apps
GoodBarber allows you to see the statistics of the use of your app.
This data will allow you to better understand the behavior of your users, and they will give you information on the quantity and type of traffic on your application.
Statistics are calculated and updated every 24 hours for the previous day, they are not updated in your back office in real time.
Access you statistics
1/ Publish your native app Android and iOS (Premium & Pro offer only)
2/ Allow a day for your statistics to be calculated
1/ Go to the menu Statistics > Traffic
2/ Click the platform tab you wish to check the statistic for.
Launches and page views
Every time a user launches your application his action is recorded, as well as the number of pages that the user opens. These statistics can be consulted for a given amount of time, in total or for a given type of device.
Sessions: The total number of launches during a given period of time.
Unique sessions: A unique session is logged for all launches by the same user within 24 hours during a given period of time.
For example, if a user launches your application twice a day during a period of time of 7 days, it will count as 14 launches and 7 single launches during the period of time.
The number of downloads stands for the actual number of people who have installed your application and launched it at least once.
Just like the number of launches and page views, this statistic can be consulted either in total or for a certain period.
All downloads are counted: ad hoc versions, apps deleted then installed again by a user etc.
For each visit duration of your application, the number of connections is logged.
This statistic totals the number of page views for each day of the week, and allows you to determine whether activity on your app is particularly frequent on certain days of the week.
Please note: This statistic is only available as a total statistic, it can't be further broken down.
The percentages of the different types of devices used to open your app are categorized by their frequency.