# Industry Details

> Analyze key insights for industries in detail using a wide range of indicators.\
> You can download historical data and also download data for each indicator.<br>

## Industry Information <a href="#industry-information" id="industry-information"></a>

<figure><img src="/files/Gqo3iyn9TDSfcaVjSrNh" alt=""><figcaption></figcaption></figure>

<details>

<summary> Information</summary>

* **Industry Icon** : Each industry is represented by a unique icon with predefined colors and symbols for easy identification.
* [**Industry**](/lang/eng/wiseapp/terms.md#industry) : An industry category independently classified by WISERETAIL based on payment behavior.
* **Retail Brands in the Industry** : A list of retail brands belonging to the industry. The retail brands included may vary by selected period.

</details>

***

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

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

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

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

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

<figure><img src="/files/GwGJ3Fc1tCEmdjtAbhZj" 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**
* **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 industry performance by capturing the overall scale of the industry.

<figure><img src="/files/BTuuoT5zLSDD5e01weD1" 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)&#x20;
* [**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 payer distribution by gender and age.

<figure><img src="/files/7wedj3Kf4tAyrRPRocC6" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/Xi1r5REEVNZSO2XfOPwP" alt=""><figcaption></figcaption></figure> <figure><img src="/files/cguaFPvm8ySO1uVeLFXp" 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>

### The Top 10 Retail Brands within the Industry <a href="#the-top-10-retail-brands-within-the-industry" id="the-top-10-retail-brands-within-the-industry"></a>

Rankings of retail brands within the industry by various metrics.

<figure><img src="/files/kuqSvniyqSFMLcZMg6Mi" 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)&#x20;
* [**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)

</details>

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

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

### 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/CjXiYiCnyj2o3Lr44l6v" alt=""><figcaption></figcaption></figure>

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

You can analyze trends and changes between payer groups.

<figure><img src="/files/jo1hlxRDd5wYpq2CWBnh" 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)&#x20;
* [**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/1ucA8FLz9cTicrdvgeEX" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/Xbfi4TgCQxDu5K7hbMyO" alt=""><figcaption></figcaption></figure> <figure><img src="/files/f2o5s6ajoAxJDFmC4DwS" 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>


---

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