The report gives you information about audience overlap (of a set of advertising IDs) in applications of the same platform within the space. This report becomes available when you have at least two applications on the same platform within the space, but it is not available for web applications. To match users during report building, we use a set of advertising IDs, that is, for an advertising ID used in one project, we look for similar IDs in another project. For iOS applications comparison we use IDFA, and for Android and Windows applications comparison we use advertising ID.
Some users don’t have an advertising ID parameter in their card and these users are not taken into account while comparing apps’ audiences.
The report has two tabs:
The “General report” tab contains general information about the number of overlaps of active and paying audiences. In order to build a report you need to select the application platform, the overlap period, and select the applications that you want to compare. The overlap period is the time period during which users were active in at least one of the comparison projects. Then click the "View result" button to see the report results.
The Active users chart shows the overlap of active users in the selected projects (users who had at least one session in the selected period).
The Paying users chart shows the overlap of paying users (users who made at least one payment) in the selected projects.
The "Advanced report" tab allows you to compare users by custom parameters. To perform a comparison, you need to select the Main project and the Donors projects with which the comparison is to be made. You also have to choose the criteria of overlapping. You ,can overlap the audience by:
amount of payments
number of payments
date of the first payment
date of the last payment
date of last activity
To add several overlaps with different criteria press +Counter. After specifying the settings necessary for comparison, click the "View result" button to see a report results table. You can change the display of audience overlap results from a table to a chart.
After receiving the results of the comparison you will be able to:
create a user segment and study the behavior of the users later on. For example, you can save a segment of users who make payments in Application A, but don’t pay in Application B. After that, using the created segment, you can study user behavior in detail: what offers motivate users to buy in Application A, what goods they buy there, what amount of money they spend. Perhaps the prices in Application A are lower than in Application B, or in Application A you can buy goods for customizing your game character, while in Application B there are no such goods. After analyzing the paying audience of your application you can develop hypotheses for A/B testing, as well as start sending push notifications with appealing offers to potential paying audience.
select a potential paying audience for behavior research and Gross increase. For example, by studying a segment composed of users who have not paid in Application B for a long time or users who pay more in Application A. Thus, you can analyze what exactly users buy in Application A, at what stage they make payments, what amount of money they spend, what offers motivate users to buy. With this information at hand, you can test various hypotheses (price changes, offer content, etc.) that can increase Gross.
export users’ devtodevId to a CSV file. This can for example save cross-promotion costs by excluding users who are already using the promoted application. Or you can upload the IDs of the users who are not yet using your second application in order to promote it later on: