What improvement in estimated fraud model accuracy can be achieved by sending billing address signals to Radar?

Sending billing address signals to Radar can lead to a substantial improvement in the accuracy of the fraud detection model. Specifically, the data indicates that incorporating billing address information can enhance the estimated fraud model accuracy by up to 11%. This improvement stems from the fact that billing addresses can provide valuable contextual information about the legitimacy of a transaction. For instance, if the billing address aligns with the buyer's profile or the geographical area associated with the card issuer, it can act as a positive signal, enhancing the likelihood of the transaction being genuine.

In contrast, the other percentage options suggest higher improvements that are not supported by the current data. While improvements beyond 11% are theoretically possible with additional signals and data points, the specific increment attributed to billing address signals remains capped at 11%. This precise figure helps businesses understand the tangible benefits of integrating this type of data into their fraud prevention strategies, allowing for better decision-making and resource allocation.