Developer
Compare key insights for developers in detail through a wide range of metrics. You can download historical data and also download data for each indicator with OS filters applied.
Developer Selection
You can add up to 10 developers to analyze from the top of the screen. In the selected developers area, you can change the order or remove developers.
Function
Add Developer
Favorite Developers : You can add developers that you have marked as favorites.
Search : You can add developers by searching for developer names.
Selected Developers Area
Reorder : Drag and drop with your mouse to change the order.
Remove : Click the X button in the list to remove developers.
1. All Users
You can understand developers’ overall characteristics by analyzing key indicators and their correlations.
You can set the period to Weekly / Monthly.
Key Indicators
This metric provides a comprehensive view of developer performance by capturing the overall scale of developer usage.
Distribution by Gender and Age Groups
You can analyze the main user groups by checking user distribution by gender and age.
Indicator
By Gender and Age Groups : 10s or under Male&Female / 20s Male&Female / 30s Male&Female / 40s Male&Female / 50s Male&Female / 60s or more Male&Female
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
App Share
You can analyze the share of users and total time in app across apps belonging to the developer.
2. Users by Criteria
You can set the period to Weekly / Monthly.
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 trends and changes between user groups.
Distribution by Gender and Age Groups
Compare how user composition differs across loyalty groups.
Indicator
By Gender and Age Groups : 10s or under Male&Female / 20s Male&Female / 30s Male&Female / 40s Male&Female / 50s Male&Female / 60s or more Male&Female
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more