Reports Details
Analyze key insights for the selected apps in detail using a wide range of metrics. You can download historical data and also download data for each indicator with OS filters applied.
Report Information
You can review the requested report information at the top of the screen. By clicking the Compare Apps button next to the report name, you can quickly navigate to the comparison view. You can also request the report again with similar conditions.

1. All Users
You can understand the report's overall characteristics by analyzing key indicators and their correlations.
Summary
Summary metrics representing the overall scale of usage within the report.

Key Indicators
This metric provides a comprehensive view of report performance by capturing the overall scale of the report.

Distribution by Gender and Age Groups
You can analyze the main user groups by checking user distribution by gender and age.



Key Indicators Ranking
You can view rankings of key indicators by app at a glance.

Key Performance Metrics Comparison
You can briefly compare indicators across apps.

Duplicate Users / Duplicate Installers
Cell color intensity increases as the number of users who use/install the app in the horizontal row together with apps in the vertical column increases.


App-to-App Duplicate Users Comparison
You can explore key metrics and gender/age distributions of overlapping users in detail and compare them with exclusive users.

Share of Users by Criteria
Users are segmented into three groups by Time in App, Sessions, and Days used to understand their distribution.

2. Users by Criteria
Criteria
Users by Criteria are divided into three groups according to loyalty.
Users by Criteria are divided into Light, Middle, and Heavy users.
The criteria for classifying groups are based on the average values of the selected indicator for 50% of the lower users and the criteria indicator average value for 50% of the upper users.
Criteria indicators provided are: Time in the App, Sessions, Days Used.


Key Indicators
You can analyze the distribution of user groups.

Distribution by Gender and Age Groups
Compare how user composition differs across loyalty groups.



3. Inflow and Churn
Analyze user movement flows by comparing Inflow Users and Churn Users.


