Making Sense of Mismatches
What will you get from this eBook?
Approve more orders by learning about mismatches and some of the legitimate reasons behind them
Streamline Order Review
Flag fewer orders and reduce manual review strain by accounting for common mismatches
Gain industry specific insights
See industry-specific order examples to become familiar with legitimate vs. risky mismatches
Online merchants often rely on strict rules to decline transactions based on ‘risky’ data mismatches. This approach may reduce chargebacks, but it also leads to high false decline rates: which is why orders should be evaluated using a wide range of criteria. In this eBook we provide insight into the most common types of mismatches found in good orders, and tips on how to manage these to increase approval rates.
Merchants reviewing orders for CNP fraud often rely on strict rules-based systems to decline transactions based on certain ‘risky’ indicators. Although these types of processes can help reduce chargebacks, they also lead to high false decline rates and a less-than- ideal shopping experience for customers.
In these cases the presence of a mismatch translates to an instant red flag. But there are many cases where mismatches make sense, which is why orders need to be evaluated using a wide range of criteria. Relying on discrete order elements to reject customers will only lead to a loss of revenue.
This eBook will provide insight into the most common types of mismatches found in good orders, including a deeper look at industry specific patterns.