The Hidden Costs of Fraud Beyond Chargebacks
Many fraud prevention teams rely on chargeback rates as their primary performance metric. While chargebacks are visible and directly tied to card network thresholds, they capture only a narrow slice of total fraud losses. According to Alexander Hall, Vice President of Fraud Strategy at IPQS, organizations are underestimating the broader impact of fraud on revenue, operations, and brand trust. Account takeovers (ATOs) provide a clear example. In ecommerce and airline sectors, successful ATOs drive customer churn, increase acquisition costs through negative word of mouth, and enable off platform identity theft using stolen personal information. These cases also lead to direct losses from reimbursing stolen stored value, including loyalty points. Similar patterns appear across industries, with iGaming platforms experiencing fraudulent withdrawals after account changes, banks facing synthetic identity fraud, and money movement platforms dealing with identity theft used to run fraudulent businesses.
Measuring the Full Impact of Fraud Controls
The other significant but often invisible cost comes from overly strict fraud prevention. When rules or tools block legitimate customers, those customers may abandon their purchases permanently. False positives represent one of the largest hidden costs of fraud prevention. Every suspicious order sent to manual review adds labor costs, slows fulfillment, and creates friction. Fraud related support tickets also accumulate, from refund requests to account lockouts. Over time, the operational drag of managing fraud can rival direct financial losses, especially for high volume merchants. IPQS recommends tracking additional metrics alongside chargebacks: approval rates for good customers, false positive rates, manual review volumes and decision times, fraud related refund values, abuse rates for promotions and loyalty programs, and account takeover incidents. A mature fraud program treats chargebacks as one outcome among many, not the complete picture. When risk scoring aligns with internal outcomes data, fraud metrics evolve from monthly chargeback counts to a comprehensive view of total impact on revenue, costs, and growth.
Source: BleepingComputer
