Whitelist management
Learn how Slicker helps automate false-positives from payment processor’s fraud detection
Payment processors often employ aggressive fraud detection mechanisms that can inadvertently block legitimate payments. Slicker’s Whitelist management feature helps reduce these false positives by analyzing a range of factors to identify and approve valid transactions.
How It Works
Using advanced analysis and customer insights, Slicker selectively adds flagged payments to a whitelist, ensuring they are processed without unnecessary interruptions. Our system evaluates various factors, including:
- Risk Scores: Analyzing fraud detection metrics provided by payment processors.
- Issuer Bank Errors: Understanding specific bank behaviors and preferences.
- Transaction Amount: Identifying patterns based on payment size.
- Customer History: Assessing past payment behavior to determine legitimacy.
- Behavioral Changes: Monitoring deviations in user behavior that might impact payment approval.
This approach ensures that legitimate payments are processed seamlessly, reducing disruptions for your customers.
Availability
Currently, Whitelist Management is available exclusively for Stripe users. To learn more about enabling this feature, visit our Stripe Integration Guide.
By automating the management of false positives, Slicker enhances your payment approval rates and reduces involuntary churn.