DTC Fraud Prevention: A Risk Scoring Guide

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Direct-to-consumer (DTC) brands face significant fraud risks due to factors like aggressive promotional activity, heavy reliance on digital marketing, and limited fraud infrastructure. This vulnerability is exacerbated by chargeback-prone products and a lack of experience in loss prevention. Implementing a robust fraud prevention strategy, including risk scoring systems that evaluate data points such as IP addresses, device information, and transaction history, is crucial for identifying high-risk transactions. Machine learning and technologies like fraud detection software, address verification services, and biometric authentication can enhance these strategies. Proactive measures against level 1 chargebacks, which are particularly costly, include clear order confirmation policies, detailed transaction data, and responsive customer service. Didit offers a comprehensive identity platform for DTC brands, featuring real-time risk scoring, identity verification, and workflow orchestration to help mitigate fraud risks and protect brand reputation.

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