A risk score is useful only when users can understand what contributes to it. A transparent model should distinguish between supporting signals, stronger detections, confidence, and the action policy configured by the advertiser.
Risk is not the same as confidence
Risk describes how concerning the observed pattern appears. Confidence describes how strongly the available evidence supports that assessment. A high-risk pattern based on one noisy field may deserve less confidence than a moderate-risk pattern supported by several independent signals.
Supporting signals
Examples include VPN use, datacenter origin, unusual geography or a short session. They can add points or context but are often too common to justify blocking by themselves.
Stronger signals
Examples can include verified automation, repeated click bursts, a device rotating through many IPs while targeting the same campaign, or a strong history of prior abuse. The exact thresholds should be tested against real traffic and customer policy.
Action tiers keep the score useful
| Risk band | Typical workflow |
|---|---|
| Low | Allow |
| Moderate | Allow and monitor |
| Elevated | Review or rate-limit depending on policy |
| High | Challenge, temporary block or exclusion review |
| Critical | Block when evidence and customer policy justify it |
Why explainability matters
PPC teams need to know which fields moved the score, what evidence was observed, whether a rule acted alone, and how the same visitor behaved across sessions. That makes the platform easier to audit and tune.
See how Clickronix organizes paid-traffic evidence.
Explore the detection methodology, IP intelligence and Google Ads protection workflows.