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For the complete documentation index, see llms.txt. This page is also available as Markdown.

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

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.

Function

  • 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.

1. Payer Overview

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

You can set the period to Daily / Monthly.

Net Payment Amount Ranking

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

Key Indicators

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

Indicator

Distribution by Gender and Age Groups

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

Indicator

  • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

  • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

  • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

  • Total Number of Payments

    • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

  • Total 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

Average Payment Amount by Gender and Age Groups

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

Indicator

  • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

  • 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 : Male / Female

    • by Age Group : 20s or under / 30s / 40s / 50s / 60s or more

Market Share by Payment Method

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

Indicator

Share of Lump-sum and Installment for credit and debit cards

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.

Indicator

Distribution of Domestic and Foreign for credit and debit cards

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.

Indicator

Share by Simple Payment

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.

  • 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.

Indicator

Average Hourly Payment Trend

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

Indicator

Repayment Rate

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.

2. Payer Behavior

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

You can set the period to Daily / Monthly.

Payment Amount Distribution

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.

Filter

Payment Frequency Distribution

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.

Filter

Income Decile Distribution

A statistic that divides all payers by income level; a higher number means a higher income level.

  • Income Decile Distribution will be available from Jan 2021.

  • Some retail brands are not available due to differences in data sources.

Indicator

Residential Distribution

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.

  • Residential Distribution will be available from Jan 2021.

  • Some retail brands are not available due to differences in data sources.

Filter
Indicator

Life Stage Distribution

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

  • 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

  • Life Stage Distribution will be available from Jan 2021.

  • Some retail brands are not available due to differences in data sources.

Indicator

Retail Brands Paid Together

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

  • 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.

Function

3. Inflow and Churn

Analyze payer movement flows by comparing Inflow Payers and Churn Payers.

You can set the period to Monthly only.

Indicator

  • 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

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