# Reports Details

> Assign selected retail brands to an industry to calculate market size and analyze key metrics.
> \
> You can download historical data and also download data for each indicator with filters applied.

## Report Information <a href="#report-information" id="report-information"></a>

You can review the requested report infomation at the top of the screen.\
By clicking the Compare Retail Brands 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/wUpcd1FPN4ClbuJEXNiz" 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 industry name, while user reports display the custom title entered by the user.
* **Period** : Displays the selected period.
* Selected Retail Brands : Industry TOP 10 reports include up to 10 retail brands, while user reports show the retail brands selected by the user. Retail brands are sorted in descending order by total payment amount.

</details>

***

## 1. All Payers <a href="#all-payers" id="all-payers"></a>

You can understand the report’s overall characteristics by analyzing key indicators and their correlations.

### Summary <a href="#summary" id="summary"></a>

Summary metrics representing the overall scale of payment within the report.

<figure><img src="/files/Of0hYyaYNIiVt7KachM5" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Net Payment Amount**](/lang/eng/wiseretail/terms.md#net-payment-amount) **/** [**Total Payment Amount**](/lang/eng/wiseretail/terms.md#total-payment-amount) **/** [**Total Payers**](/lang/eng/wiseretail/terms.md#total-payers)
* **Share of Total Payment Amount**
* **Share of Total Payers**
* **Share of Total Number of Payments**
* **Distribution of Total Payment Amount by Gender**&#x20;
* **Distribution of Total Payment Amount by Age Groups**
* **Distribution by Gender and Age Groups** : Distribution of 'total payment amount' by gender and age groups

</details>

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

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

<figure><img src="/files/VePexJEtCczDVxD87w5y" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Net Payment Amount**](/lang/eng/wiseretail/terms.md#net-payment-amount)
* [**Total Payment Amount**](/lang/eng/wiseretail/terms.md#total-payment-amount)
* [**Total Payment Cancellation Amount**](/lang/eng/wiseretail/terms.md#total-payment-cancellation-amount)
* [**Total Number of Payments**](/lang/eng/wiseretail/terms.md#total-number-of-payment)
* [**Total Payers**](/lang/eng/wiseretail/terms.md#total-payers)
* [**Payment Amount per Payer**](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payer)
* [**Payment Amount per Payment**](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payment)
* [**Payments per Payer**](/lang/eng/wiseretail/terms.md#id-1-payment-per-payer)
* [**Days per Payer**](/lang/eng/wiseretail/terms.md#id-1-days-per-payer)

</details>

### Distribution by Gender and Age Groups <a href="#distribution-by-gender-and-age-groups" id="distribution-by-gender-and-age-groups"></a>

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

<figure><img src="/files/70RRb83Bzink5pBBmOKz" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/mXpptkrNEXKAWgAEcDAL" alt=""><figcaption></figcaption></figure> <figure><img src="/files/qdG8xu7BqIQzaAQs84iv" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* [**Net Payment Amount**](/lang/eng/wiseretail/terms.md#net-payment-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payment Amount**](/lang/eng/wiseretail/terms.md#total-payment-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payment Cancellation Amount**](/lang/eng/wiseretail/terms.md#total-payment-cancellation-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Number of Payments**](/lang/eng/wiseretail/terms.md#total-number-of-payment)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payers**](/lang/eng/wiseretail/terms.md#payers)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more

</details>

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

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

<figure><img src="/files/ul64qQGMr58QWjz5aBmA" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **The highest payment** : Ranking by total payment amount
* **The highest increase** : Ranking with high net payment amount growth rate
* **A minimum cancellation** : Ranking with low total payment cancellation amount
* **Everyone** : Ranking by total payers
* **Often** : Ranking by Payment per Payer

</details>

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

You can briefly compare indicators across retail brands.

<figure><img src="/files/HQocDfDm5HoWs6luS60A" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **Trends of Key Indicators** : Get a quick look at key indicators over the last 6 months\
  [Net Payment Amount](/lang/eng/wiseretail/terms.md#net-payment-amount) / [Total Payment Amount](/lang/eng/wiseretail/terms.md#total-payment-amount) / [Total Payment Cancellation Amount](/lang/eng/wiseretail/terms.md#total-payment-cancellation-amount) / [Total Number of Payments](/lang/eng/wiseretail/terms.md#total-number-of-payment) / [Total Payers](/lang/eng/wiseretail/terms.md#total-payers) / [Payment Amount per Payer](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payer) / [Payment Amount per Payment](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payment) / [Payments per Payer](/lang/eng/wiseretail/terms.md#id-1-payment-per-payer) / [Days per Payer](/lang/eng/wiseretail/terms.md#id-1-days-per-payer)
* **Distribution by Gender and Age Groups** : Distribution of 'total payment amount' by gender and age groups
* **Payment Pattern** : The larger the area of the four-quadrant chart, the more active the payment pattern.

</details>

### Percentage of Duplicate Payers <a href="#percentage-of-duplicate-payers" id="percentage-of-duplicate-payers"></a>

Cell color intensity increases as the number of payers who made payment to the retail brand in the horizontal row together with retail brands in the vertical column increases.

<figure><img src="/files/zTImOOfiRwILDaus5ufI" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **Duplicate Payers Rate** : Payers Rate who paid the retail brand together with other retail brands
* **Exclusive Payers Rate** : Payers Rate who paid only the selected retail brand and no other retail brands&#x20;

</details>

### Share of Payers by Criteria <a href="#share-of-payers-by-criteria" id="share-of-payers-by-criteria"></a>

Payers are segmented into three groups by payment amount to understand their distribution.

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

<figure><img src="/files/yiSzY1kX9s3yjjbcazUR" alt=""><figcaption></figcaption></figure>

## 2. Payers by Criteria <a href="#payers-by-criteria" id="payers-by-criteria"></a>

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

{% columns %}
{% column %}
Payers by Criteria are divided into three groups according to loyalty.

Payers by Criteria are divided into Light, Middle, and Heavy payers.

The criteria for classifying groups are the criteria indicator average value for 50% of the lower payers and the criteria indicator average value for 50% of the upper payers.

The criteria indicator is Payment Amount.
{% endcolumn %}

{% column %}

<figure><img src="/files/DR3Upgfe9UXJ3rmBjIRz" alt=""><figcaption></figcaption></figure>
{% endcolumn %}
{% endcolumns %}

<figure><img src="/files/GvjYqLpYhE5aVc63Upna" alt=""><figcaption></figcaption></figure>

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

You can analyze the distribution of payer groups.

<figure><img src="/files/3Bt206r70vhmrnchWQNM" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Net Payment Amount**](/lang/eng/wiseretail/terms.md#net-payment-amount)
* [**Total Payment Amount**](/lang/eng/wiseretail/terms.md#total-payment-amount)
* [**Total Payment Cancellation Amount**](/lang/eng/wiseretail/terms.md#total-payment-cancellation-amount)
* [**Total Number of Payments**](/lang/eng/wiseretail/terms.md#total-number-of-payment)
* [**Total Payers**](/lang/eng/wiseretail/terms.md#total-payers)
* [**Payment Amount per Payer**](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payer)
* [**Payment Amount per Payment**](/lang/eng/wiseretail/terms.md#id-1-payment-amount-per-payment)
* [**Payments per Payer**](/lang/eng/wiseretail/terms.md#id-1-payment-per-payer)
* [**Days per Payer**](/lang/eng/wiseretail/terms.md#id-1-days-per-payer)

</details>

### Distribution by Gender and Age Groups <a href="#distribution-by-gender-and-age-groups" id="distribution-by-gender-and-age-groups"></a>

Compare how payer composition differs across loyalty groups.

<figure><img src="/files/CaWg7iD5gTPjD50axMCN" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/OrGMUHZPQuL3u1m0FwcA" alt=""><figcaption></figcaption></figure> <figure><img src="/files/wuYI2GHj3fNk8tPVd2mX" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* [**Net Payment Amount**](/lang/eng/wiseretail/terms.md#net-payment-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payment Amount**](/lang/eng/wiseretail/terms.md#total-payment-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payment Cancellation Amount**](/lang/eng/wiseretail/terms.md#total-payment-cancellation-amount)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Number of Payments**](/lang/eng/wiseretail/terms.md#total-number-of-payment)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more
* [**Total Payers**](/lang/eng/wiseretail/terms.md#payers)
  * **by Gender and Age Groups** : 20s or under Male\&Female / 30s Male\&Female / 40s Male\&Female / 50s Male\&Female / 60s or more Male\&Female
  * [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : Male / Female
  * [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : 20s or under / 30s / 40s / 50s / 60s or more

</details>

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

Analyze payer movement flows by comparing [Inflow Payers](/lang/eng/wiseretail/terms.md#inflow-payers) and [Churn Payers](/lang/eng/wiseretail/terms.md#churn-payers).

<figure><img src="/files/evep3g4sYBIgMt4VExGx" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* **Inflow**\
  : Payers who previously paid a different retail brand and switched to this retail brand in the current period. There may be overlapping users among different retail brands in the report.
  * Ranking of inflow from the report
* **Churn**\
  : Payers who previously paid this retail brand and switched to a different retail brand in the current period. There may be overlapping users among different retail brands in the report.
  * Churn Payers
  * Ranking of churn from the report

</details>


---

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