The native Email Age fraud indicator leverages the billions of transactions we've evaluated to approximate the age of an email based on the first time the email was seen across our network of customers and online businesses. It's available on every transaction and can be used in real-time with no increase in latency for rules, during manual review and data analysis.
Many customers see an inverse correlation with the age of an email address and the risk of fraud related to that email address. For example, most consumers have used the same email address for some time, while fraudsters often create new email addresses for every transaction in an attempt to circumvent basic velocity checks and link analysis. The age of an email address should never be the sole factor in making a fraud decision, because even good consumers create new email addresses from time to time and some fraudsters use older email addresses to commit fraud.
It's recommended that the Email Age fraud indicator be used in combination with other factors to trigger a manual review and/or a callout to a third party data source for more context about a transaction. During manual review, the Email Age should be considered with other factors of the transaction to make a final decision, or to manually call out to a third party data source for more context.
The Email Age is calculated in real-time for both the end customer email address, and the ship-to email address provided in the transaction. The age of the email is represented as the number of days since the email was first seen. If the email address has never been seen before, the age will be presented as zero.
In the rules engine, the Email Age is presented as Customer Email Age and Ship-to Email Age. These rule conditions can be found in the Customer grouping within the top level Order grouping of rule conditions.
During manual review, the Email Age is presented on the Transaction Details page in the Customer gadget. The Email Age is located beneath the corresponding email address.
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