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Successful BNPL companies rely on sophisticated fraud and credit risk models to make approval decisions while introducing as little friction as possible for the purchaser. Fingerprint Pro's best-in-class accuracy, cross-merchant device identification makes it possible to identify significantly more returning visitors and shut down fraud with zero added friction.
Identify 99.5% of returning visitors with passive authentication, reducing friction for trusted customers. Fingerprint Pro's visitorIDs remain stable for months, not days, making it possible to authenticate occasional purchasers with pinpoint accuracy.
Fingerprint Pro can be used to save customer preferences across separate merchant applications, allowing for enhanced “remember me” functionality. Link onboarding and transaction flows with high accuracy, reducing the likelihood of user impersonation.
Fingerprint Pro works for web, iOS and Android applications, as well as in third-party installations as part of a merchant's checkout flow. On every platform, Fingerprint Pro outshines the competition with high accuracy, easy integration, and minimal impact on application performance.
Incorporate more than 100+ signals to your risk models for advanced fraud analysis: