Why detection is hard — and why it matters
In your Google Ads reports, a bot click and a paying customer are the same line item: one click, some cost. The fraud only becomes visible when you look at how the click behaved. Click fraud detection is the process of scoring that behaviour to flag the fakes, so you can see where your budget actually went.
The signals that expose a fake click
- Network origin. Real customers browse from homes and phones. Traffic from datacenters, hosting providers and known-bad ASNs is a strong tell — no human shops from a server rack.
- Impossible timing. Seven clicks four seconds apart is not seven people. Velocity and rhythm expose automation.
- Repeat fingerprints. The same device signature clicking again and again, from rotating IPs, is a classic competitor or click-farm pattern.
- Behaviour on the page. A genuine visitor moves, scrolls and lingers. A bot often lands and leaves without a trace of human behaviour.
- Reputation. IPs and networks with a history of abuse carry that history with them.
No single signal is proof. Detection works by combining them into a score — which is exactly why single-rule tools are easy to fool and multi-signal engines are not.
See it on your own traffic — free
ClickSheriff runs this scoring on every click that arrives from your Google Ads and shows you the results plainly: which IPs were flagged, why they were flagged, how many times they clicked, and where they came from. The detection is completely free. When you want to turn detection into protection — automatically blocking the offenders it finds — that is what Pro adds.
