Click fraud creates fake advertising clicks so an advertiser pays for interest that did not come from a real potential customer.
The clicks may come from scripts, paid people, or competitors, and the shared result is a distorted bill and a distorted measure of demand.
How it works
Publishers can be paid for clicks they did not earn from genuine interest, and advertisers can exhaust a daily budget before a real customer arrives, while competitors sometimes click rival ads to waste that budget.
Analytics then show traffic that never starts a meaningful session, which can also hide which campaigns actually work.
Defenses compare click timing, repeat rates, and what happens after the click, and they exclude sources that never produce qualified visits.
Contracts should say how invalid traffic is credited, because a technical filter without a billing remedy still leaves the advertiser paying.
Concrete examples
- A campaign spends its morning budget in minutes from a crowd of clicks that never view more than the landing page.
- A competitor repeatedly clicks a rival search ad so the rival's budget ends before lunch.
- A publisher's page shows a high click count while the advertiser's site records almost no engagement from those visits.
Protective measures
- Compare click volume with later engagement, and investigate sources that click without any meaningful next step.
- Put budget caps and alerts on campaigns so a sudden invalid spike cannot spend the month in an hour.
- Agree in the contract how invalid clicks are detected and credited, and keep the evidence the agreement requires.
- Separate incentive traffic and bought audiences from organic demand when you judge whether a campaign worked.
How CDPCaptcha helps
Browser proof of work raises the cost of fake click automation by forcing each scripted advertising visit to spend extra computation.
CDPCaptcha is a self-hosted proof of work check in the browser, with no cookies, no tracking, and no picture puzzles.
It is made and hosted in the EU, in Germany, and the service is described at https://cdpcaptcha.com/.