The Fraud view provides comprehensive insights into fraudulent transaction patterns, helping you understand fraud trends, identify risk areas, and monitor the effectiveness of your fraud prevention measures. This section breaks down the various components and metrics available in this view.
Number / Value of Fraudulent Transactions
This chart displays the total number or value of fraudulent transactions over your selected time period, helping you track fraud trends and identify patterns in fraudulent activity.
- Y Axis: Fraudulent transaction count or value.
- X Axis: Time period (based on your selected date grouping: day/week/month).
Number / Value of Fraudulent Transactions Comparison
This compares fraudulent transaction numbers or values for the current time period with equivalent data from the previous time period (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Yearly Number / Value of Fraudulent Transactions Comparison
This compares fraudulent transaction numbers or values for the current time period with equivalent data from the same time period in the previous year (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Average Fraud Value Comparison
This compares Average Fraud Values (AFV) for the current time period with equivalent data from the previous time period (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Yearly Average Fraud Value Comparison
This compares Average Fraud Value (AFV) for the current time period with equivalent data from the same time period in the previous year (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Average Value of Fraudulent Transactions
This chart shows how your Average Fraud Value (AFV) has changed over your selected time period, helping you identify seasonal trends, growth patterns, or sudden changes in fraudulent transaction behaviour.
- Y Axis: Average Fraud Value (AFV).
- X Axis: Time period (based on your selected date grouping: day/week/month).
Number / Value Fraud Ratio
This multi-line chart shows fraud ratio trends for each card scheme over time, helping you identify fraud trends, seasonal patterns, and comparative performance between payment networks.
- Y Axis: Fraud ratio as a percentage.
- X Axis: Time period (based on your selected date grouping: day/week/month).
- Lines: Each card scheme (Visa, Mastercard, etc.).
Visa Number / Value Fraud Ratio
This compares the ratio of fraudulent transaction numbers or values processed with Visa-branded cards for the current time period with equivalent data from the previous time period (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Mastercard Number / Value Fraud Ratio
This compares the ratio of fraudulent transaction numbers or values processed with Mastercard-branded cards for the current time period with equivalent data from the previous time period (based on your selected date grouping: day/week/month). The difference in values is also shown as a percentage.
Number / Value of Fraudulent Transactions By Card Scheme
This chart shows the volume of fraudulent transactions broken down by card scheme over time, helping you identify which payment networks are experiencing the most fraud and track changes in fraud patterns.
- Y Axis: Fraudulent transaction count or value.
- X Axis: Time period (based on your selected date grouping: day/week/month).
- Segments: Each card scheme (Visa, Mastercard, etc.).
Number / Value of Fraudulent Transactions By Issuer Country
This world map displays fraud rates by card issuing country through colour-coded shading, enabling you to identify high-risk regions and shape your fraud prevention approach:
- Deeper shades = higher fraudulent transaction numbers / values.
- Lighter shades = lower fraudulent transaction numbers / values.
Next steps
Now that you understand the Fraud view, you can use these insights to strengthen your fraud prevention strategy. Monitor fraud ratios across card schemes, track geographic patterns, and identify trends that require immediate attention to protect your business and customers.
