Tech Upstairs Internal Statistics

Tech Upstairs Internal Statistics

Tech Upstairs Internal Statistics: Downloads, launches, etc.

Tech Upstairs 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.

1. Traffic

Launches and page views
Every time a user launches your application, this 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.Launches: 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.

Visit Duration
For each visit duration of your application, the number of connections is logged.

Top days
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.

Platforms & OS Versions

Every time your Tech Upstairs app is opened, Tech Upstairs recognizes the device and the operating system used. The percentage of each category is calculated automatically.

Top Devices
The percentages of the different types of devices used to open your app are categorized by their frequency.

2. Social

Here, you can see the app installs for a given period of time, classified by countries, towns, and the language of the user’s device.
The installs show on the map by density of users.

Age and gender
This data is retrieved by way of social networks (Facebook mostly), whenever users share content or log in with their profile.