Compare
Compare key retail brands insights 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 Brand
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. All Payers
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.
Distribution by Gender and Age Groups
You can analyze the main user groups by checking distribution by gender and age.
Indicator
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
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 Paymnet 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
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
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 group.
Indicator
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
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.
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.
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.
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.
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.
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. Payers by Criteria
You can set the period to Daily / Monthly.
Criteria
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 is Payment Amount.
Key Indicators
You can analyze trends and changes between payer groups.
Distribution by Gender and Age Groups
Compare how payer composition differs across loyalty groups.
Indicator
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
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 Paymnet 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
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
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
3. Payer Behavior
Analyze payer behavior by segmenting payers based on payment frequency and payment amount for the retail brand.
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
by Gender : All / Male / Female
by Age Group : All / 20s or under / 30s / 40s / 50s / 60s or more
Payment Frequency Distribution
Payers can be divided into five groups based on retail brand paymnet frequency. By comparing these groups by gender and age group, you can identify payer characteristics associated with different payment frequencies.
Filter
by Gender : All / Male / Female
by Age Group : All / 20s or under / 30s / 40s / 50s / 60s or more
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
by Gender : All / Male / Female
by Age Group : All / 20s or under / 30s / 40s / 50s / 60s or more
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.
Retail Brands Paid Together
You can identify related interests and competing retail brands through the other retail brands that payers paid together.
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
View Settings : View same industry
Industries Paid Together
Understand payment context and lifestyle patterns through industries paid together.
4. 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 have 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 have switched to a different retail brand in the current period. There may be overlapping payers among different retail brands within the same industry.
Total churn payers
Ranking of churn from the same industry
Churn to different industry