Case Study: GoFundMe uncovers issuer-level fraud with Pagos Insights

GoFundMe uncovers fraud across multiple BINs with Pagos

GoFundMe's risk analysts faced the challenge of efficiently detecting and preventing fraudulent transactions, a task complicated by having to work with payments data spread across multiple processors. Their manual process of reviewing data for suspicious trends was difficult to scale from both a people and operational cost perspective. The vendor Pagos helped address this challenge with its payments data monitoring platform, Pagos Insights.

Using Pagos Insights, GoFundMe imported all their payments data into a single platform with user-friendly visualizations. This allowed analysts to quickly identify a pattern of excessive refunds linked not just to one BIN, but to several BINs from the same issuing bank. With these insights from Pagos, GoFundMe swiftly addressed the fraudulent activity, preventing further negative impact and enabling their team to proactively monitor for similar threats in the future.

GoFundMe