Check out your Mastercard refund ratio and count at a glance.
See the past, present and the future
A refund is a reversal of a charge.
The number of refunds during a period.
The number of refunds divided by the number of transactions during a period. For example, 10 refunds divided by 1,000 transactions equals a 1% refund ratio.
The sum of all individual refunds during the period.
The count of refunds divided by the count of transactions.
Forecasts use artificial intelligence to predict your future performance. It analyzes patterns from historical data and updates the forecast to take into account any changes in your business. We have developed a time series forecast model.
The X axis (or horizontal axis)
Month of year
The Left Y axis (or vertical axis)
The Right Y axis (or vertical axis)
Count of refunds
The 'selection' count of refunds in the preceding months. The count is measured on the right Y-axis (or secondary vertical axis to the right).
The 'selection' count of refunds forecast in the upcoming months. The count is measured on the right Y-axis (or secondary vertical axis to the right).
The 'selection' historic ratio of refunds compared to transactions. It is measured on the Y-axis (vertical axis to the left).
The 'selection' ratio of refunds forecast compared to transactions for upcoming months. It is measured on the Y-axis (vertical axis to the left).
This report updates once per day at 8 a.m. Central European Time GMT+2.
Default is 30 days like almost all reports
When comparing data ranges it is good to use the same amount of days in the selection and comparison. Comparing date ranges requires both time frames to have the same amount of days.
Updated about 2 years ago