Typical fraud protection
Fraud protection tools generally analyze each online transaction in an attempt to correctly decide which purchases to approve and which to decline. Yet on average, 15% of transactions are difficult to clearly define as either fraudulent or legitimate.
Generally, these 15% of “grey transactions” are manually reviewed, in order to determine whether to accept or decline them. Fraud attractive goods, however, do not allow for a proper manual review process without introducing excessive friction for legitimate buyers.
The result? Either a delayed delivery of e-goods, or a high rejection rate of legitimate customers, both leading to a substantial loss of revenue and a negative customer experience.