What are suspicious clicks?

In ClickPatrol, suspicious clicks are interactions we classify as potentially non-human, low quality, or otherwise risky after we analyze each click against our models and third-party intelligence. They are not yet a verdict on billing; they are a strong signal that the click deserves scrutiny or automated handling.

Table of Contents

  1. How we identify suspicious clicks
  2. Suspicious does not always mean blocked
  3. Why distinguishing suspicious clicks matters

How we identify suspicious clicks

When a click arrives, we enrich it with data from Google and other sources, then score it. Our system evaluates hundreds of factors (device, network, timing, consistency with declared geography, and more) to estimate how human-like the session is. The result rolls up into AI Score bands from safe through high.

We label clicks as suspicious when they fall into the somewhat medium, medium, or high bands. Safe and low clicks are treated as broadly consistent with normal traffic. That ladder lets you skim dashboards quickly: focus on the upper bands first.

Suspicious does not always mean blocked

We deliberately do not block every suspicious click. We only block when we are confident the interaction is fraudulent or non-human in a way that will not cost you real conversions. Borderline cases may be monitored, scored, or allowed depending on account settings and historical conversion behavior.

You can adjust aggressiveness in the dashboard. Stricter blocking can save more spend but raises the risk of excluding legitimate users who share risky networks or devices. Default settings aim to avoid blocking clicks that carry conversion value. If you want the tradeoffs in plain language, read could you lose conversions with ClickPatrol.

Why distinguishing suspicious clicks matters

Advertisers need both transparency and safety. Raw click counts hide mixed traffic; separating suspicious activity shows where click fraud pressure sits by campaign, geography, or device. It also supports conversations with stakeholders about why certain IPs or patterns were excluded.

For deeper behavioral context, see what is suspicious behavior and how we detect fraud.

Abisola

Abisola

Meet Abisola! As the content manager at ClickPatrol, she’s the go-to expert on all things fake traffic. From bot clicks to ad fraud, Abisola knows how to spot, stop, and educate others about the sneaky tactics that inflate numbers but don’t bring real results.