How do you determine whether a click or form submission is fake traffic?

ClickPatrol identifies fake traffic by analyzing multiple data points in real time. Instead of relying on simple IP blocking, we use advanced detection methods to separate real users from bots, click farms, and other invalid sources.

How we detect fake clicks and form submissions

1. Behavioral analysis

We track user behavior, such as mouse movement, scrolling, and session duration. Bots and fake users often follow unnatural patterns that we can detect.

2. IP and device fingerprinting

ClickPatrol checks whether the same IP, device, or browser fingerprint repeatedly interacts with ads or forms in a suspicious way.

3. Velocity and frequency tracking

Unusual spikes in clicks or form submissions from the same source within a short period signal potential fake traffic.

4. Geo-location verification

We analyze whether traffic is coming from expected regions. A sudden increase in clicks from unrelated locations can indicate fake traffic.

5. Proxy and VPN detection

Fraudsters often use proxies or VPNs to disguise their identity. ClickPatrol flags suspicious traffic coming from these sources.

6. AI-driven anomaly detection

Our system continuously learns from traffic patterns to detect new forms of fake interactions, ensuring your ads and forms stay protected.

Keeping your data clean

By filtering out fake traffic before it impacts your campaigns, ClickPatrol ensures that your ad budget is spent on real potential customers.

Want to see it in action? Start a free trial and protect your campaigns from fake traffic today.

Abisola

Abisola handles content and support at ClickPatrol. She helps customers get more value from cleaner traffic data and writes practical resources about ad fraud, fake traffic, and smarter PPC decisions.