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Smartlinkella / Resources / Anti-fraud
Anti-fraud

Evidence-Based Validation for Dating CPA Traffic

Fraud controls should identify suspicious patterns without treating every performance change as proof of bad traffic.

Dating verticalPublishersMedia buying agenciesPerformance routing
PUSHPOP / REDIRECTNATIVESOCIALFACEBOOKSEARCH / SEOIN-APPDISPLAYBANNER ADSMEMBER AREA
01 / Operational context

Validation begins with measurable rules

Duplicate events, prohibited traffic, invalid GEOs and automated patterns should be defined before volume is accepted.

02 / Operational context

Signals require context

An old device, unusual browser or short conversion time can be a clue, not a verdict. Source method and campaign behaviour matter.

03 / Operational context

Disputes need evidence

Networks, publishers and advertisers should be able to review click IDs, timestamps, rejection reasons and aggregated patterns.

System components

What the operating model includes.

01

Duplicates

Repeated event or user identifiers.

02

Velocity

Unusual click or conversion timing.

03

Mismatch

GEO, language, device or source inconsistency.

04

Automation

Non-human interaction patterns.

05

Policy breach

Traffic outside declared or accepted methods.

06

Evidence

Logs and reason codes supporting decisions.

Launch checklist

What to validate before volume increases.

Document prohibited traffic
Keep click-level logs
Return rejection reason codes
Use multiple signals
Review false-positive risk
Escalate with reproducible evidence
Operational principle

SmartLink routing does not replace transparent traffic acquisition, stable tracking or partner communication. It makes those inputs more useful by connecting them to eligible dating inventory.

Apply

Bring us your traffic. We’ll bring the routing.

Tell us the source, GEO mix and approximate monthly volume. The same application endpoint records the page that generated the request, so topic-level lead attribution remains available.