What are False Declines?
False declines are real users prevented from going through by a risk stack that’s too sensitive. Biometrics too tight? Device friction too jumpy? Payment rules overfitted? Conversion and trust both suffer. They show up in identity flows as failed matches on good selfies; in payments as transactions that later prove to be fine but are declined.
To mitigate this pain point, use context. Combine facial scores with device, history, behavior instead of a single hard cutoff. Offer smart fallbacks—additional selfie with liveness check or a short identity verification step before high-value actions. Track reasons, not just outcomes; run champion/challenger thresholds; and review cohorts where declines have the most negative impact on revenue.
