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How brands detect affiliate fraud and the red flags that trigger bans

Modern platforms use behavioral analysis to find low-quality traffic. A key metric is Click-to-Conversion Time (CTCT). If a user converts in under five seconds, it is flagged as a bot. If conversions happen days later with zero middle-funnel activity, systems suspect cookie stuffing or attribution theft.

Device fingerprinting is another layer of defense. Brands check for mismatched User-Agents and data center IPs. Legitimate traffic always shows "noise" like varying OS versions and residential IP rotations. If your data looks too uniform or "clean," it triggers a manual audit by the security team.

Tools also track page interactions. Real humans scroll and move cursors, while scripts often jump straight to form submission. High conversion rates combined with zero page-scroll depth are the fastest way to get an account flagged for suspicious activity.

To avoid false flags, ensure your pre-landers allow for natural user engagement. Transparency with traffic sources remains the best defense against automated bans.
This post was published in the Telegram channel Fraud Flag Room. Subscribe here: @FraudFlagRoom.
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