App
Compare key app insights in detail through a wide range of metrics. You can download historical data and also download data for each indicator with OS filters applied.
App Selection
You can add up to 10 apps to analyze from the top of the screen. In the selected apps area, you can change the order or remove apps.
Function
Add App
Favorite Apps : You can add apps that you have marked as favorites.
Search : You can add apps by searching for app names.
Selected Apps Area
Reorder : Drag and drop with your mouse to change the order.
Remove : Click the X button in the list to remove apps.
1. All Users
You can understand apps' overall characteristics by analyzing key indicators and their correlations.
You can set the period to Daily / Weekly / Monthly. However, when Daily is selected, only limited indicators are available.
Key Indicators
This metric provides a comprehensive view of app performance by capturing the overall scale of app 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
Average Users by Time Zone
Identify usage patterns by analyzing the times when users are most active on average. Data is available in 1-hour intervals throughout the day.
Average App Usage Cycle
Identify how frequently users return to the app by measuring the average number of days between uses for users who have used the app more than once. The minimum usage cycle is 1 day—shorter cycles indicate more frequent app usage.
Retention
Represents the percentage of users who used the app in the previous period and returned to use it again in the current period, indicating overall user loyalty.
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 the criteria indicator average value for 50% of the lower users and the criteria indicator average value for 50% of the upper users.
Criteria indicators provided are: usage time, sessions, and days of use.
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
3. User Behavior
You can analyze user behavior by segmenting users based on how frequently and how long they use the app.
You can set the period to Weekly / Monthly.
Usage Time Distribution
Users can be divided into five groups based on app usage time. By comparing these groups by gender and age group, you can identify user characteristics associated with different usage levels.
Filter
by Gender : All / Male / Female
by Age Group : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more
Distribution of Number of Executions
Users can be divided into five groups based on app launch frequency. By comparing these groups by gender and age group, you can identify user characteristics associated with different launch frequencies.
Filter
by Gender : All / Male / Female
by Age Group : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more
Apps Installed Together
By identifying other apps installed by users who have installed this app, you can understand user interests and identify competing apps.
Function
View Settings : Exclude Android only / View same industry
Apps Used Together
By identifying other apps used by users who use this app, you can understand user interests and identify competing apps.
Function
View Settings : Exclude Android only / View same industry
Industries Used Together
Understand usage context and lifestyle patterns through industries used together.
Apps Used Before and After Using Apps
Analyze app switching behavior and usage flow by examining which apps are used before and after using this app.
Function
View Settings : Exclude Android only / View same industry
Indicator
Before use : Ranked by the proportion of executions of other apps before using this app
After use : Ranked by the proportion of executions of other apps after using this app
4. Inflow and Churn
Analyze user movement flows by comparing Inflow Users and Churn Users.
You can set the period to Weekly / Monthly.
Function
View Settings : Exclude Android only
Indicator
Inflow Users who previously used a different app have switched to this app in the current period. There may be overlapping users among different apps within the same industry.
Ranking of inflow from the same industry
Churn Users who previously used this app have switched to a different app in the current period. There may be overlapping users among different apps within the same industry.
Total churn users
Ranking of churn from the same industry
Churn to different industry