Skip to main content
Attribution statistics: retention
Natalya Yefimenko avatar
Written by Natalya Yefimenko
Updated over 3 months ago

Before you begin

Retention

The Retention report displays the dynamics of user activity after they install the application. You can see the partners who attract the most and the least active application users.

Filters

In the Retention slice, you can filter data by the period, application, country, type, and partner.

You can set a period (the default one is seven days) from seven days up to 11 months. Next, it's possible to group the data by partner, date, or partner day in day.

The Partner day in day option helps you see the number of users who used the app in day (week, month) 1,2,3, etc. after the install date selected in filters. If it's not selected, the day when a user installs the application can be different from the indicated one.

You can search for the items in the Search box. When you select Conversion ID or Click ID in the drop-down list, you see the column with the indicated ID in the table.

In the Type filter, you can select the following options:

  • Classic: refers to the ability of a product or service to keep users engaged over a specified period. It measures the number of users who initially interact with an app and continue to use it over the subsequent days, weeks, or months. Retention rates can vary significantly depending on the nature of the project.


    Day N Retention Rate = (Number of users who opened the app on day N / Number of users who installed the app N days ago) * 100%

    This formula helps determine the percentage of users within a specific cohort (those who installed the app N days ago) who opened the app on day N.

  • Rolling: it focuses on ongoing user engagement. Rolling retention calculates the percentage of users who continue to use the app from a specific time, regardless of when they started using it.

    Day N Rolling Retention = (Number of users who opened the app on day N or later / Number of users who installed the app N days ago) * 100%

    This metric shows the percentage of users who returned to the app on day N or later, starting from the installation date.

  • Dynamic: the change in the percentage of users who returned to the app on a specific day, week, or month after installation in the specified time period.

Also, you can reset the filters to the default settings.

Table

In the Retention slice, the table contains the following columns:

where:

  • Partner ID: ID of a partner in the Attribution system.

  • Partner: partner name.

  • Campaign: campaign name.

  • Date: the date.

  • Install Day: the number of unique users who installed and launched an application on a selected day.

  • Day/Week/Month (N): the number of users who used the app in day (week, month) 1,2,3, etc. after the install. The day when a user installs the app can be different from a selected date.


    For example, the install date is December 1, and you have a retention period of seven days. In the Day 1 column, you can see the number of users who entered the application the next day after they installed it. Someone could install it on December 3 (not necessarily December 1), and use the application again on December 4 - the next day after the install.

    If you select the Partner day in day option, only the users who installed the application on December 1 and entered it again on December 2 are displayed in the Day 1 column.
    The same logic works with other days, weeks, and months.

You can manage your table with the following options:

  • The Edit columns button to manage the columns you want to see.

  • The Get link button to pass the statistics report outside the attribution system.

  • The Update button to update the data in the slice.

The colors of the cells mean the activity of users. The darker the color is, the higher the activity is.


Please contact the Affise Customer Support team regarding all raised questions via the e-mail: [email protected].

Did this answer your question?