• About Us
  • Contact Us
  • Advertise
  • Privacy Policy
  • Guest Post
No Result
View All Result
Digital Phablet
  • Home
  • NewsLatest
  • Technology
    • Education Tech
    • Home Tech
    • Office Tech
    • Fintech
    • Digital Marketing
  • Social Media
  • Gaming
  • Smartphones
  • AI
  • Reviews
  • Interesting
  • How To
  • Home
  • NewsLatest
  • Technology
    • Education Tech
    • Home Tech
    • Office Tech
    • Fintech
    • Digital Marketing
  • Social Media
  • Gaming
  • Smartphones
  • AI
  • Reviews
  • Interesting
  • How To
No Result
View All Result
Digital Phablet
No Result
View All Result

Home » Understanding Invalid Clicks: Fraud vs Accidental on Google Ads

Understanding Invalid Clicks: Fraud vs Accidental on Google Ads

Maisah Bustami by Maisah Bustami
February 4, 2026
in Digital Marketing
Reading Time: 1 min read
A A
Understanding Invalid Clicks: Fraud vs Accidental on Google Ads
ADVERTISEMENT

Select Language:

Mike Ryan shared data detailing the percentage of invalid clicks within the Digital Phablet Ad Network, categorized into fraudulent and likely accidental clicks. His analysis reveals that the Google Display Network has the highest rate of invalid clicks, with nearly 20% being impression fraud threats (IVT). However, most of these appear to be accidental rather than malicious. Fraudulent invalid clicks are most prevalent among search partners, with over 10% classified as invalid. Unlike GDN, the majority of these search partner invalid clicks tend to be more sophisticated and potentially intentionally malicious.

ADVERTISEMENT

Despite Google Search being less targeted by click fraud, there’s a notable split—roughly half—between benign bots and malicious automated traffic, highlighting ongoing concerns about bot activity. Google’s owned platforms such as YouTube, Discover, Maps, and Gmail exhibit incredibly low rates of invalid click activity, often approaching negligible levels that seem almost too good to be true. These platforms are primarily accessed through logged-in experiences and apps, which may contribute to their lower fraud rates.

From a broader perspective, the purpose-built campaign type PMax aggregates various channels, but its click profile is mainly driven by Google Search (including Shopping) and YouTube.

A chart accompanying this data illustrates these findings graphically, showing the distribution of invalid clicks across different networks. While the rates vary, the data underscores ongoing challenges in combating ad fraud across different segments of the Google advertising ecosystem.

ChatGPT ChatGPT Perplexity AI Perplexity Gemini AI Logo Gemini AI Grok AI Logo Grok AI
Google Banner
ADVERTISEMENT
Maisah Bustami

Maisah Bustami

Maisah is a writer at Digital Phablet, covering the latest developments in the tech industry. With a bachelor's degree in Journalism from Indonesia, Maisah aims to keep readers informed and engaged through her writing.

Related Posts

World Leaders by Age (2026)

1.  Paul Biya (92)
2.  Mahmoud Abbas (90)
3.  Salm
Infotainment

Top World Leaders by Age in 2026

February 4, 2026
How to resolve divergent branches with Git pull errors
How To

How to resolve divergent branches with Git pull errors

February 4, 2026
AWS Security: Handling Sophisticated Attacks & Collaborating with Authorities
How To

How to Reduce Bottlerocket’s High Memory Usage on AWS

February 4, 2026
How to Beat the Hackrobat Boss in Dragon Quest 7 Reimagined: Completing & Solving
Gaming

How to Beat the Hackrobat Boss in Dragon Quest 7 Reimagined: Completing & Solving

February 4, 2026
Next Post
Dassault and Nvidia Collaborate on AI-Powered Virtual Twin Platform

Dassault and Nvidia Collaborate on AI-Powered Virtual Twin Platform

  • About Us
  • Contact Us
  • Advertise
  • Privacy Policy
  • Guest Post

© 2026 Digital Phablet

No Result
View All Result
  • Home
  • News
  • Technology
    • Education Tech
    • Home Tech
    • Office Tech
    • Fintech
    • Digital Marketing
  • Social Media
  • Gaming
  • Smartphones

© 2026 Digital Phablet