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App Details

Analyze key insights for apps 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 Information

At the top of the screen, you can check the app’s current store information. You can add the app to Favorites using the button next to the app name or quickly move to the Compare screen.

Information

If the app is Android-only, only Android information is displayed.

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.

Indicator

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, with breakdowns by day of the week, gender, and age group.

Indicator

  • All : The average users by time zone of all users

  • Day of the Week : Monday / Tuesday / Wednesday / Thursday / Friday / Saturday / Sunday

  • by Gender : Male / Female

  • by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more

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.

Indicator

  • All : Retention of all users

  • by Gender : Male / Female

  • by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more

New Installers Retention

Shows the retention rate of new installers who keep the app installed for X days after initial installation, reflecting user retention and satisfaction.

  • This metric is available starting from January 2017.

  • If the number of new installers is too low, the metric may not be provided due to potential statistical inaccuracies.

Indicator

  • Daily Retention Rate : Up to 7 days for weekly data, and up to the number of days in the month for monthly data.

  • Retention Trends : Trend based on last day of week/month

New Installers Retention is available only with the Android+iOS filter.

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.

Filter

Criteria Indicators

  • Time in App

  • Sessions

  • Days Used

Key Indicators

You can analyze trends and changes between user groups.

Indicator

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

Industry VS Users by Criteria

Compare the following indicators between the app and its industry: Avg. Time in App per User, Avg. Number of Sessions per User, Avg. Active Days per User

Indicator

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

Distribution of Sessions

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

Apps Installed Together

You can identify related interests and competing apps by seeing which other apps the same users also installed.

Filter

Apps Used Together

You can identify related interests and competing apps by seeing which other apps the same users also used.

Filter

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.

Filter
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. Industry VS App

Compare app with sub-industry to evaluate relative competitiveness in scale, usage, and frequency.

You can set the period to Weekly / Monthly.

Key Indicators

This metric reflects overall usage scale, enabling a comprehensive evaluation of app performance in comparison with the sub-industry.

Indicator

User OS Distribution

Compare the OS usage distribution between the app and the industry.

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 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.

Indicator

  • All : The retention of all users.

  • by Gender : Male / Female

  • by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more

5. Inflow and Churn

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

You can set the period to Weekly / Monthly.

Filter
Indicator

  • Inflow : Users who previously used a different app and 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 and switched to a different app in the current period. There may be overlapping users among different apps within the same industry.

    • Churn Users

    • Ranking of churn from the same industry

    • Churn to different industry

  • Time taken from last run to delete : The average number of days from the last execution to app deletion among churned users. Measurement starts from the previous period of the selected timeframe, with a maximum range of 14 days for weekly data and 62 days for monthly data.

“0 day” indicates users who installed and deleted the app on the same day, while “– day” indicates users who did not churn during the period.

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