# 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.

<figure><img src="/files/gK6xB5aopOKybyOwiEOu" alt=""><figcaption></figcaption></figure>

<details>

<summary>Information</summary>

* **Icon** : Industry TOP 10 reports are displayed with industry icons, while user reports are displayed with their titles.
* **Report Title** : Industry TOP 10 reports show the sub-industry name, while user reports display the custom title entered by the user.
* **Period** : Displays the selected weekly or monthly period.
* **Selected Apps** : Industry TOP 10 reports include up to 10 apps, while user reports show the apps selected by the user. Apps are sorted by user count in descending order.

</details>

***

## 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.

<figure><img src="/files/5p6c1uz0oNvOe69R43ii" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Installers**](/lang/eng/wiseapp/terms.md#installers) **/** [**Users**](/lang/eng/wiseapp/terms.md#users)
* **Installation Rate by OS**
* **Usage Rate by OS**
* **Rate of Active Users**
* **Users Share**
* **Usage time share**
* **Distribution by Gender and Age Groups** : Distribution of users by gender and age group

</details>

### Key Indicators

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

<figure><img src="/files/jh3NcEzkxo75TgnToUkf" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Installers**](/lang/eng/wiseapp/terms.md#installers)
* [**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)
* [**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

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

<figure><img src="/files/sZWBGWFls86xTVsB6gcS" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/R1Dq72Lak6T3Dkei4JDq" alt=""><figcaption></figcaption></figure> <figure><img src="/files/2aDVHVtb015kqCLFP5rj" 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>

### Key Indicators Ranking&#x20;

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

<figure><img src="/files/2kF81NL5WVyKLcAL0zky" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **User** : Ranking by number of users
* **At least once** : Ranking by active user ratio
* **Often** : Ranking by total sessions
* **Long time** : Ranking by total time in app
* **Every day** : Ranking by total active days app

</details>

### Key Performance Metrics Comparison <a href="#key-performance-metrics-comparison" id="key-performance-metrics-comparison"></a>

You can briefly compare indicators across apps.

<figure><img src="/files/WNyqrEzJaqt9B0LjlPNh" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Rate of Active Users**](/lang/eng/wiseapp/terms.md#rate-of-active-users)
* **Distribution by Gender and Age Groups** : Distribution of users by gender and age group
* **Usage Pattern** : The larger the area of the four-quadrant chart, the more active the usage pattern.

</details>

### 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.

<div><figure><img src="/files/YfNg2eLttGnbu3VM2raW" alt=""><figcaption></figcaption></figure> <figure><img src="/files/Uillz5s610PTLEIgtwSm" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* **Duplicate Users** : Users who used the app together with other apps
* **Exclusive Users** : Users who used only the selected app and no other apps
* **Duplicate Installers** : Installers who installed the app together with other apps
* **Exclusive Installers** : Installers who installed only the selected app and no other apps

</details>

### App-to-App Duplicate Users Comparison <a href="#app-to-app-duplicate-users-comparison" id="app-to-app-duplicate-users-comparison"></a>

You can explore key metrics and gender/age distributions of overlapping users in detail and compare them with exclusive users.

<figure><img src="/files/zKfdhnFWCLcGVSbj9uLn" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

**App Selection** : When two apps are selected, you can view Duplicate users, total users for each app, and exclusive users.

</details>

<details>

<summary>Indicator</summary>

* **Key Indicator** : View app-level key indicators for duplicate users and compare them with only users.
  * [Total Time in App](/lang/eng/wiseapp/terms.md#total-time-in-app)
  * [Total Sessions](/lang/eng/wiseapp/terms.md#total-sessions)
  * [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)
* **Distribution by Gender and Age Groups** : You can analyze the gender and age distribution of overlapping users and compare it with exclusive users.
  * [by Gender](/lang/eng/wiseapp/terms.md#by-gender)
  * [by Age Group](/lang/eng/wiseapp/terms.md#by-age-group)

</details>

### Share of Users by Criteria

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

{% hint style="info" %}
Criteria vary by app, so please refer to each app’s detail page for specific criteria.
{% endhint %}

<figure><img src="/files/Fd6KuOELIvdrE7eo0NEN" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **Criteria Indicators**
  * Time in App
  * Sessions
  * Days Used

</details>

## 2. Users by Criteria

### 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/xjUGNO3Kz2MSsPqxCQUN" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

**Criteria indicator**

* Time in App
* Sessions
* Days Used

</details>

### Key Indicators

You can analyze the distribution of user groups.

<figure><img src="/files/1vKGVxLmjP3bPdvOVzAV" 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)
* [**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/RjbCmLEdmykdekwwVsPt" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/vV7sPX0ZIfBL9f6ZJ4W6" alt=""><figcaption></figcaption></figure> <figure><img src="/files/sgJRBH9ULYCDn0upwd5A" 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. 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).

<figure><img src="/files/S4Gddf4UaaIL9DCZQS0r" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **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 report.
  * Ranking of inflow from the report
* **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 report.
  * Churn Users
  * Ranking of churn from the report

</details>


---

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