# App

> Compare 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 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.

<figure><img src="/files/BCjRPDpoiEivBh86OXnI" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* **Add Apps**
  * 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.

</details>

***

## 1. All Users

You can understand apps' overall characteristics by analyzing key indicators and their correlations.

{% hint style="info" %}
You can set the period to Daily / Weekly / Monthly. However, when Daily is selected, only limited indicators are available.
{% endhint %}

### Key Indicators

This metric provides a comprehensive view of app performance by capturing the overall scale of app usage.

<figure><img src="/files/8uMwJBa2QeFUAVZDnp0Z" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Installers**](/lang/eng/wiseapp/terms.md#installers)
* [**New Installers**](/lang/eng/wiseapp/terms.md#new-installers)
* [**Users**](/lang/eng/wiseapp/terms.md#users)
* [**User Growth Rate**](/lang/eng/wiseapp/terms.md#growth-rate)
* [**Total Time in App**](/lang/eng/wiseapp/terms.md#total-time-in-app)
* [**Avg. Time in App per User**](/lang/eng/wiseapp/terms.md#avg-time-in-app-per-user)
* [**Avg. Active Days per User**](/lang/eng/wiseapp/terms.md#avg-active-days-per-user)
* [**Total Sessions**](/lang/eng/wiseapp/terms.md#total-sessions)
* [**Avg. Number of Sessions per User**](/lang/eng/wiseapp/terms.md#avg-number-of-sessions-per-user)
* [**Avg. Session Length**](/lang/eng/wiseapp/terms.md#avg-session-length)
* [**Total Data Usage**](/lang/eng/wiseapp/terms.md#total-data-usage)

</details>

### Distribution by Gender and Age Groups

You can analyze the main user groups by checking user distribution by gender and age.

<figure><img src="/files/ZnL7MGIcLeRl9mUEJsD1" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/H8lNK11oiDBmNo0Ny95C" alt=""><figcaption></figcaption></figure> <figure><img src="/files/aS76kJFtU0Zov9ELgSug" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* **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**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-gender) : Male / Female
* [**by Age Group**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-age-group) : 10s or under / 20s / 30s / 40s / 50s / 60s or more

</details>

### 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.

<figure><img src="/files/Frc1cZlOLET18bNn4kmv" alt=""><figcaption></figcaption></figure>

### 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.

<figure><img src="/files/9kaBTFIjfzacR61J2sIw" alt=""><figcaption></figcaption></figure>

### 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.

<figure><img src="/files/JKaZ2OyauIKS2H547ZB4" alt=""><figcaption></figcaption></figure>

## 2. Users by Criteria

{% hint style="info" %}
You can set the period to Weekly / Monthly.
{% endhint %}

### Criteria <a href="#criteria" id="criteria"></a>

{% columns %}
{% column %}
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.
{% endcolumn %}

{% column %}

<figure><img src="/files/pOEPqcszsvqW53n5PFTP" alt=""><figcaption></figcaption></figure>
{% endcolumn %}
{% endcolumns %}

<figure><img src="/files/NvVSiOKaYoTmWTfWGwfu" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* **Criteria Users**
  * Light
  * Middle
  * Heavy
* **Criteria Indicators**
  * Time in App
  * Sessions
  * Days Used

</details>

### Key Indicators <a href="#key-indicators" id="key-indicators"></a>

You can analyze trends and changes between user groups.

<figure><img src="/files/fychXDBN126t9fRpYLjJ" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Users**](/lang/eng/wiseapp/terms.md#users)
* [**Total Time in App**](/lang/eng/wiseapp/terms.md#total-time-in-app)
* [**Total Sessions**](/lang/eng/wiseapp/terms.md#total-sessions)
* [**User Growth Rate**](/lang/eng/wiseapp/terms.md#growth-rate)
* [**Avg. Time in App per User**](/lang/eng/wiseapp/terms.md#avg-time-in-app-per-user)
* [**Avg. Active Days per User**](/lang/eng/wiseapp/terms.md#avg-active-days-per-user)
* [**Avg. Number of Sessions per User**](/lang/eng/wiseapp/terms.md#avg-number-of-sessions-per-user)
* [**Avg. Session Length**](/lang/eng/wiseapp/terms.md#avg-session-length)

</details>

### Distribution by Gender and Age Groups

Compare how user composition differs across loyalty groups.

<figure><img src="/files/JfgTS4DkpQbWCA6VL8WY" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/rauGnmBXWTyepjNe64sz" alt=""><figcaption></figcaption></figure> <figure><img src="/files/wPl1GDikx2hn4ycC0rwF" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* **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**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-gender) : Male / Female
* [**by Age Group**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-age-group) : 10s or under / 20s / 30s / 40s / 50s / 60s or more

</details>

## 3. User Behavior

You can analyze user behavior by segmenting users based on how frequently and how long they use apps.

{% hint style="info" %}
You can set the period to Weekly / Monthly.
{% endhint %}

### Usage Time Distribution <a href="#usage-time-distribution" id="usage-time-distribution"></a>

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.

<figure><img src="/files/SrqjIPZPGN1PfyOLgk6C" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* [**by Gender**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-gender) : All / Male / Female
* [**by Age Group**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-age-group) : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more

</details>

### Distribution of Number of Executions <a href="#distribution-of-number-of-executions" id="distribution-of-number-of-executions"></a>

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.

<figure><img src="/files/rgbAVH6OSFSe513sEI09" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* [**by Gender**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-gender) : All / Male / Female
* [**by Age Group**](https://guide.wiseapp.co.kr/wiseapp/key-terms#by-age-group) : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more

</details>

### Apps Installed Together <a href="#apps-installed-together" id="apps-installed-together"></a>

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

<figure><img src="/files/ZFF6DOHCEUbUsFffzv7b" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* [**View Settings**](/lang/eng/faqs/service/view-settings.md) : Exclude Android only / View same industry

</details>

### Apps Used Together <a href="#apps-used-together" id="apps-used-together"></a>

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

<figure><img src="/files/fxnVY3JAsa1F5Vs3dBDZ" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* [**View Settings**](/lang/eng/faqs/service/view-settings.md) : Exclude Android only / View same industry

</details>

### Industries Used Together <a href="#industries-used-together" id="industries-used-together"></a>

Understand usage context and lifestyle patterns through industries used together.

<figure><img src="/files/RVwbV2N6oiyqDdugGHNz" alt=""><figcaption></figcaption></figure>

### 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.

<figure><img src="/files/1RTSkRRAGchqspcm13Kn" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* [**View Settings**](/lang/eng/faqs/service/view-settings.md) : Exclude Android only / View same industry

</details>

<details>

<summary>Indicator</summary>

* **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

</details>

## 4. Inflow and Churn <a href="#inflow-and-churn" id="inflow-and-churn"></a>

Analyze user movement flows by comparing [Inflow Users](https://guide.wiseapp.co.kr/wiseapp/key-terms#inflow-users) and [Churn Users](https://guide.wiseapp.co.kr/wiseapp/key-terms#churn-users).

{% hint style="info" %}
You can set the period to Weekly / Monthly.
{% endhint %}

<figure><img src="/files/rS8843bUtrGlbE6XdqQ2" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* [**View Settings**](/lang/eng/faqs/service/view-settings.md) : Exclude Android only

</details>

<details>

<summary>Indicator</summary>

* **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.
  * Churn Users
  * Ranking of churn from the same industry
  * Churn to different industry

</details>


---

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