Fraud & quality
Protect performance without losing visibility.
Flag suspicious activity for review with rule-based checks and traffic-quality signals — and keep the reasoning attached, so decisions stay explainable.
| Signal | Source | Reason | Decision |
|---|---|---|---|
| Velocity spike | Partner · Network C | Above threshold | Review |
| Duplicate clicks | Campaign 231 | Same click id | Rejected |
| Proxy signature | Source 4471 | Under review | Review |
| Normal traffic | Campaign 118 | Passed checks | Approved |
Quality signals
Catch the traffic that should not pay out.
Rule-based checks and quality signals surface suspicious activity — duplicates, velocity spikes, and questionable sources — for review before payout.
- Rule-based checks — and duplicate detection
- Velocity monitoring — flag abnormal spikes
- Suspicious-source analysis — focus review where it matters
- Conversion review — approve or reject before payout
| Event | conversion · purchase |
| Source | Partner · Network A → Campaign 118 |
| Attribution | Last click · window 30d |
| Payout | ₹ 200.00 |
| Duplicate check | Passed |
| Decision | Approved · click matched within window |
Explainable
Every decision has a reason.
When traffic or a conversion is flagged, the decision comes with an explanation and an investigation history — not a silent rejection.
- Decision explanations on every flag
- Investigation history per case
- Reviewed alongside attribution and reporting
- Visibility preserved, not hidden behind a score
Related capabilities
Works with the rest of the platform.
FAQ
Common questions
How does TrackingPro monitor traffic quality?
Through rule-based checks and quality signals — including duplicate detection, velocity monitoring, and suspicious-source analysis — that flag activity for review.
Are decisions explained?
Yes. Flags and conversion decisions come with explanations and an investigation history, so review is transparent rather than a black box.
Does fraud monitoring use AI?
Fraud monitoring is based on rules and quality signals. We describe capabilities as they exist rather than making unsupported claims.
Make every performance event accountable.
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