Pixalate Blog

Pixalate’s Q2 2025 EMEA Click Fraud Benchmark Reports for Mobile Apps, Desktop Web, & Mobile Web

Written by Pixalate | Sep 29, 2025 5:00:00 PM

New Pixalate research into over 45 billion global open programmatic ad transactions reveals that the Netherlands and Germany were most impacted by mobile web click fraud (28% IVT rate, respectively) in Q2 2025

LONDON, September 29, 2025 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q2 2025 EMEA Click Fraud Benchmarks Report. The reports highlight various types of click-related invalid traffic (IVT) in the EMEA region and pinpoint high-risk categories, platforms, and countries impacted by IVT across desktop web, mobile web, and mobile in-app advertising.

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

Pixalate’s data science and analyst team analyzed more than 45 billion global open programmatic advertising transactions across desktop web, mobile web, and mobile app traffic to compile these reports in Q2 2025.

Key Findings

EMEA Desktop Web Click Fraud

  • Invalid Click Rate: 30% of all clicks on desktop web traffic in EMEA were found to be invalid
  • Dominant Types of Click Fraud: 44% of desktop web invalid clicks in EMEA were flagged for Datacenter IVT

EMEA Mobile Web Click Fraud

  • Invalid Click Rate: 19% of clicks on mobile web traffic in EMEA were found to be invalid
  • Dominant Types of Click Fraud: 36% of mobile web invalid clicks in EMEA were flagged for Fast Clicker IVT
  • Most Targeted Ad Size: 52% of mobile web clicks on the 320x50 ad size in EMEA were found to be invalid


EMEA Mobile App Click Fraud

  • Invalid Click Rate: 14% of clicks on mobile app traffic in EMEA were found to be invalid
  • Most Targeted Category: 36% of clicks on ads found on mobile apps in the Personalization category in EMEA were found to be invalid
  • Most Targeted Ad Size: 29% of mobile app clicks on the 480x320 ad size in EMEA were found to be 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 Click Fraud Benchmarks Reports:

And other previous versions of the reports:

APAC

LATAM

North America

EMEA

 

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 Q2 2025 EMEA 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.”