# Compare

> Compare key insights for retail brands in detail through a wide range of metrics.\
> You can download historical data and also download data for each indicator.

## Retail Brand Selection <a href="#retail-brand-selection" id="retail-brand-selection"></a>

You can add up to 10 retail brands to analyze from the top of the screen.\
In the selected retail brands area, you can change the order or remove retail brands.

<figure><img src="/files/1PyPAOprZ4zx8if70rLd" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

* **Add Retail Brands**
  * **Favorite Retail Brands** : You can add retail brands that you have marked as favorites.
  * **Search** : You can add retail brands by searching for retail brand names.
* **Selected Retail Brands Area**
  * **Reorder** : Drag and drop with your mouse to change the order.
  * **Remove** : Click the X button in the list to remove retail brands.

</details>

***

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

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

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

### Net Payment Amount Ranking <a href="#net-payment-amount-ranking" id="net-payment-amount-ranking"></a>

You can compare the ranking trend of net payments by retail brand.

<figure><img src="/files/dnA9wxlhvVnd59KPORTR" alt=""><figcaption></figcaption></figure>

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

This metric provides a comprehensive view of retail brand performance by capturing the overall scale of retail brand payment.

<figure><img src="/files/jTpLM7fQqA74tKyZn8oD" 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 distribution by gender and age groups.

<figure><img src="/files/1ucA8FLz9cTicrdvgeEX" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/5RmOhfpig7S8ryD0wx7q" alt=""><figcaption></figcaption></figure> <figure><img src="/files/OCeaGkeEKVmp9NS2uUVk" 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>

### Average Payment Amount by Gender and Age Groups <a href="#average-payment-amount-by-gender-and-age-groups" id="average-payment-amount-by-gender-and-age-groups"></a>

Enables detailed analysis of payment amounts by gender and age groups.

<figure><img src="/files/YnJFC1Ux3ZcJJh6y2U3P" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/R1yANlTUa4HsaJ0u4s1P" alt=""><figcaption></figcaption></figure> <figure><img src="/files/xH4F7EiELQwyUmOSF9fJ" alt=""><figcaption></figcaption></figure></div>

<details>

<summary>Indicator</summary>

* [**Payment Amount per Payer**](https://guide.wiseapp.co.kr/wiseretail/key-terms#id-1-payment-amount-per-payer)
  * **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
* [**Payment Amount per Payment**](https://guide.wiseapp.co.kr/wiseretail/key-terms#id-1-payment-amount-per-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

</details>

### Market Share by Payment Method <a href="#market-share-by-payment-method" id="market-share-by-payment-method"></a>

Enables analysis of the proportion of total payment value and transaction count by credit and debit card.

<figure><img src="/files/qPQHjefBmyKYs7YlqooU" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Total Payment Amount**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-payment-amount)
* [**Total Number of Payments**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-number-of-payment)

</details>

### Share of Lump-sum and Installment for credit and debit cards <a href="#share-of-lump-sum-and-installment-for-credit-and-debit-cards" id="share-of-lump-sum-and-installment-for-credit-and-debit-cards"></a>

Shows the share of lump-sum and installment card payments.\
Installment payments are classified only in the first payment month, and the full payment amount is included in that first month.

<figure><img src="/files/qggPgCs16LxqRNq8cMOm" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Total Payment Amount**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-payment-amount)
* [**Total Number of Payments**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-number-of-payment)

</details>

### Distribution of Domestic and Foreign for credit and debit cards <a href="#distribution-of-domestic-and-foreign-for-credit-and-debit-cards" id="distribution-of-domestic-and-foreign-for-credit-and-debit-cards"></a>

Shows the share of domestic and overseas card payments.\
Overseas payments refer to transactions approved in foreign currencies or USD, and amounts are converted to KRW using the applicable daily exchange rate at the time of payment.

<figure><img src="/files/mgdAq5WKpY86K8cLV5RS" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Total Payment Amount**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-payment-amount)
* [**Total Number of Payments**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-number-of-payment)

</details>

### Share by Simple Payment <a href="#share-by-simple-payment" id="share-by-simple-payment"></a>

You can identify the payment share for each Simple Payment.\
The classifiable simple payment methods include Naver Pay, Samsung Pay, Kakao Pay, PAYCO, SSGPAY, Coupang Pay, Toss Pay, and L.Pay.

{% hint style="info" %}

* Share by Simple Payment will be available from Jan 2021.
* For credit/debit cards–linked simple payments, if the retail brand is identifiable in the payer’s transaction history, the payment amount is attributed to the corresponding retail brand.
* For prepaid (top-up–based) simple payments, the payment amount is attributed to the retail brand where the balance was topped up, at the time of the top-up.
  {% endhint %}

<figure><img src="/files/8rzJXq1GNsiBACtGblLe" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Total Payment Amount**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-payment-amount)
* [**Total Number of Payments**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-number-of-payment)

</details>

### Average Hourly Payment Trend <a href="#average-hourly-payment-trend" id="average-hourly-payment-trend"></a>

Identify payment patterns by analyzing when payers pay the most on average.\
Data is available in 1-hour intervals throughout the day.

<figure><img src="/files/Lv8AP6BPjtvkoh7Kj24U" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

* [**Total Payment Amount**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-payment-amount)
* [**Total Number of Payments**](https://guide.wiseapp.co.kr/wiseretail/key-terms#total-number-of-payment)

</details>

### Repayment Rate <a href="#repayment-rate" id="repayment-rate"></a>

Represents the percentage of payers who paid the retail brand in the previous period and returned to pay it again in the current period, indicating overall payer loyalty.

<figure><img src="/files/LJ2TjEGgxAFNEQ7CiGn3" alt=""><figcaption></figcaption></figure>

## 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/9ablen62Lr6bXevLWgEk" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* **Payers by Criteria**
  * Light
  * Middle
  * Heavy
* **Criteria Indicator** : Payment Amount

</details>

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

You can analyze trends and changes between payer groups.

<figure><img src="/files/pWL1YEH7itI74E8Qsz6J" 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/a0AsHkUM0Xiro7CEZO8O" alt=""><figcaption></figcaption></figure>

<div><figure><img src="/files/QnAGJVbVcobhTes4Fxrr" alt=""><figcaption></figcaption></figure> <figure><img src="/files/OCeaGkeEKVmp9NS2uUVk" 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. Payer Behavior <a href="#payer-behavior" id="payer-behavior"></a>

Analyze payer behavior by segmenting payers based on payment frequency and payment amount for retail brands.

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

### Payment Amount Distribution <a href="#payment-amount-distribution" id="payment-amount-distribution"></a>

Payers can be divided into five groups based on retail brand payment amount.
\
By comparing these groups by gender and age group, you can identify payer characteristics associated with different payment levels.

<figure><img src="/files/kmqPMkpMzKWq9NP5v5p4" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : All / Male / Female
* [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : All / 20s or under / 30s / 40s / 50s / 60s or more

</details>

### Payment Frequency Distribution <a href="#payment-frequency-distribution" id="payment-frequency-distribution"></a>

Payers can be divided into five groups based on retail brand payment frequency.
\
By comparing these groups by gender and age group, you can identify payer characteristics associated with different payment frequencies.

<figure><img src="/files/TJ7bBS4vwV0InKaYV2qu" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : All / Male / Female
* [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : All / 20s or under / 30s / 40s / 50s / 60s or more

</details>

### Residential Distribution <a href="#residential-distribution" id="residential-distribution"></a>

You can identify where payers are distributed across 17 cities and provinces nationwide.\
You can also analyze payer characteristics by comparing gender and age groups.

{% hint style="info" %}

* Residential Distribution will be available from Jan 2021.
* Some retail brands are not available due to differences in data sources.
  {% endhint %}

<figure><img src="/files/TKvbSP5HsL2v3Rq7VCUp" alt=""><figcaption></figcaption></figure>

<details>

<summary>Filter</summary>

* [**by Gender**](/lang/eng/wiseretail/terms.md#by-gender) : All / Male / Female
* [**by Age Group**](/lang/eng/wiseretail/terms.md#by-age-group) : All / 20s or under / 30s / 40s / 50s / 60s or more

</details>

### Life Stage Distribution <a href="#life-stage-distribution" id="life-stage-distribution"></a>

You can identify how payers are distributed across life-cycle stages based on their age group, residence information, and consumption patterns.

{% hint style="info" %}

* **Single-Person Household** : A household with one resident 50s or under
* **Senior Household** : Households 60s or more who do not have children or do not live with children
* **Other households** : Households classified according to marital status and the age range of their children
  {% endhint %}

{% hint style="info" %}

* Life Stage Distribution will be available from Jan 2021.
* Some retail brands are not available due to differences in data sources.
  {% endhint %}

<figure><img src="/files/Jm9Nyy5QxeNQPk5RqjOA" alt=""><figcaption></figcaption></figure>

### Retail Brands Paid Together <a href="#retail-brands-paid-together" id="retail-brands-paid-together"></a>

You can identify related interests and competing retail brands by seeing which other retail brands the same payers also paid.

{% hint style="info" %}

* Retail Brands Paid Together will be available from Jan 2021.
* Some retail brands are not included because differing data sources make it difficult to measure them based on together paid.
  {% endhint %}

<figure><img src="/files/Pm9HkBo706zTdYZbMglN" alt=""><figcaption></figcaption></figure>

<details>

<summary>Function</summary>

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

</details>

### Industries Paid Together <a href="#industries-paid-together" id="industries-paid-together"></a>

Understand payment context and lifestyle patterns through industries paid together.

<figure><img src="/files/bpXeoDBKnZIMYNgB6B8y" alt=""><figcaption></figcaption></figure>

## 4. 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).

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

<figure><img src="/files/bcv7xz3DsQHgeY8sAPMR" alt=""><figcaption></figcaption></figure>

<details>

<summary>Indicator</summary>

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

</details>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://guide.wiseapp.co.kr/lang/eng/wiseretail/screen-help/compare.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.