<b>My traffic is real, so why is my fraud score high?</b>

<b>My traffic is real, so why is my fraud score high?</b>

Q: I drive genuine humans, but the platform flags 40% as suspicious. How?

A: A fraud score isn't a verdict on whether a click is a bot — it's a probability built from dozens of weak signals stacked together. Real traffic can score high when those signals correlate badly:

— Datacenter or VPN IPs: privacy-conscious users on commercial VPNs look identical to fraud farms.
— Outdated or spoofed user agents: a real user on a 5-year-old phone trips "stale device" rules.
— Timezone-to-IP mismatch: a traveler, or a misconfigured app, reads as geo-faking.
— Click-to-install time too fast: an impatient user can look automated.

None of these mean fraud. They mean ambiguity, and the scorer plays it safe.

Your job is to reduce ambiguity, not hide it. Pass clean referrer data, don't strip user agents, and segment VPN-heavy placements so they're judged on their own merits instead of dragging your whole average down.

Short version: a high score is the model admitting uncertainty, not catching you. Feed it cleaner context.

Still stuck? Drop your case in the comments.