Early results · Alpha test

29% of ad spend saved by blocking 8% of traffic

In Alpha testing, ClickPatrol screened 18,311 clicks and showed how blocking a small share of high-risk traffic can reclaim a much larger share of spend.

Early results: 29% ad spend saved by blocking 8% of traffic

Alpha testing cohort

Industry: Paid searchCompany size: Test cohort
Google Ads18,311 clickseCPC EUR 0.10

During early Alpha testing, ClickPatrol screened every click against hundreds of behavioural and technical signals, then estimated savings from blocked high-risk traffic.

This page explains the method and the headline result from that test cohort. It is an early results study, not a named customer story.

The challenge

Advertisers needed a clear way to see how much budget was lost to fraudulent and unwanted clicks, and what recovering that spend looked like in practice, without guessing from incomplete block lists.

The approach

Each click was scored and placed into a risk category: Safe, Low, Medium or High. High-risk IPs were blocked automatically. Savings used blocked clicks, predicted repeat-click behaviour by risk level, and effective CPC.

  • Screened clicks across hundreds of characteristics
  • Classified traffic by threat level
  • Blocked high-risk sources automatically
  • Estimated savings as blocked clicks × predicted repeats × eCPC

The results

In the Alpha phase, 18,311 clicks were screened. With an eCPC of €0.10, blocking only 8% of unwanted and fraudulent traffic saved about 29% of ad spend in the test set (around €209 of €1,830).

  • 29%Ad spend saved
  • 8%Traffic blocked
  • €209Saved in test
  • 18,311Clicks screened

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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.

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