How UCLIQ Assigns Risk Points

Every incoming click is analyzed using the fraud detection system’s templates. When certain characteristics match known fraud indicators, the click is assigned a risk score. These characteristics can include things like IP address matches, device fingerprinting, and behavior that suggests fraudulent activity (e.g., VPN usage or emulation).

The system assigns risk points based on how many of these indicators match. The more matches a click has with fraud patterns, the higher the risk score assigned to it. Publishers also accumulate risk points, which help determine the overall risk level of their traffic.

Screenshot Suggestion: Show a risk scoring interface, where clicks are assigned points based on fraud detection criteria, with visual indicators of high-risk traffic.