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How to Analyze Visitor Behavior to Detect Click Fraud

How to Analyze Visitor Behavior to Detect Click Fraud

30.05.2025 7

You can’t always detect fraud by IP or user-agent. But how users behave on your site is one of the best indicators of real interest—or a fraudulent click.

Behavioral indicators to monitor:

  • Session duration: 1–2 seconds often = bot.
  • Page depth: real users explore more than one page.
  • Interactions: scroll, click, hover.
  • Time on key pages: engaged users stay longer.
  • Navigation logic: does the path make sense?

Signs of suspicious behavior:

  • many visits with minimal interaction;
  • same device/source every time;
  • “invisible” sessions—no clicks, no mouse moves;
  • repeated clicks with no change in behavior.

What to do:

  1. Use AntiClick to track user behavior patterns.
  2. Filter out fast, empty sessions.
  3. Mark unusual patterns in your logs.
  4. Block IPs showing fake engagement.