<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=134132097137679&amp;ev=PageView&amp;noscript=1">

Pixalate’s Q4 2024 North America Click Fraud Benchmark Reports for Mobile Apps, Desktop Web, & Mobile Web: 26% Click Fraud Rate on Desktop Web, 17% on Mobile Web, & 24% on Mobile In-App

Jan 29, 2025 1:00:00 PM

New Pixalate research into 43+ billion global open programmatic ad transactions reveals the “Arts” category had the highest IVT rate, with 46% of desktop web clicks on ads within this category being flagged as invalid in Q4 2024. On mobile web, 56% of invalid clicks were due to data center-based IVT

LONDON, January 29, 2025 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q4 2024 North America Click Fraud Benchmarks Reports for desktop web, mobile web, and mobile in-app advertising. The reports highlight various types of click-related invalid traffic (IVT) in North America and pinpoint high-risk categories, platforms, and countries impacted by IVT.

In addition to the North American report, Pixalate released regional reports for Latin America (LATAM), Europe, the Middle East, Africa (EMEA), and Asia Pacific (APAC).

Pixalate’s data science and analyst team analyzed more than 43 billion global open programmatic advertising transactions across desktop web, mobile web, and mobile app traffic to compile these reports in Q4 2024.

Key Findings

North America Desktop Web Click Fraud (Q4 2024)

  • Invalid Click Rate: 26% of desktop web traffic clicks were invalid
  • Dominant Types of Click Fraud: 47% of invalid clicks were due to datacenter-based Invalid Traffic (IVT)
  • Most Targeted Category: 46% of clicks on programmatic ads within the “Arts” category on desktop web domains category were invalid
  • Most Targeted Ad Size: 300x250 ad size was most impacted by click fraud (55%)

North America Mobile Web Click Fraud (Q4 2024)

  • Invalid Click Rate: 17% of mobile web traffic clicks were invalid
  • Dominant Types of Click Fraud: 56% of invalid clicks were flagged for datacenter-based IVT
  • Most Targeted Category: 34% of clicks on programmatic ads within the “Business” category on mobile web domains were invalid
  • Most Targeted Ad Size: 728x90 ad size was most impacted by click fraud (60%)


North America Mobile App Click Fraud (Q4 2024)

  • Invalid Click Rate: 24% of mobile app traffic clicks were invalid

Pixalate developed a solution for IVT challenges through its Click Fraud Detection technology. The platform effectively maps clicks to impressions and identifies IVT. It enables the detection of various IVT types associated with suspicious users, ad creatives, or publishers.

Download Pixalate’s Q4 2024 Click Fraud Benchmarks Reports:

 

About Pixalate

Pixalate is a global platform specializing in privacy compliance, ad fraud prevention, and digital ad supply chain data intelligence. Founded in 2012, Pixalate is trusted by regulators, data researchers, advertisers, publishers, ad tech platforms, and financial analysts across the Connected TV (CTV), mobile app, and website ecosystems. Pixalate is accredited by the MRC for the detection and filtration of Sophisticated Invalid Traffic (SIVT).  pixalate.com

Disclaimer

The content of this press release, and the Q4 2024 North America Click Fraud Benchmark Reports for Desktop, Mobile Apps and Web Traffic (the ‘reports’), reflect Pixalate's opinions with respect to factors that Pixalate believes can be useful to the digital media industry. Any data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate is sharing this data not to impugn the standing or reputation of any entity, person or app, but, instead, to report findings and trends in the time period studied. Per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also, per the MRC, “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”

Search Blog

Follow Pixalate

Subscribe to our blog

*By entering your email address and clicking Subscribe, you are agreeing to our Terms of Use and Privacy Policy.

Subscribe to our blog

*By entering your email address and clicking Subscribe, you are agreeing to our Terms of Use and Privacy Policy.