---
title: Pixalate's Q2 2024 Click Fraud Benchmark Reports
description: Pixalate's Q2 2024 Click Fraud Benchmarks Reports examine how many clicks on open programmatic advertisements are invalid or fraudulent across desktop web, mobile web and mobile apps.
image: https://www.pixalate.com/hubfs/Blog_Media/Blog%20photos/Q2%202024%20Click%20Fraud%20Report%20-%20email%20and%20blog%20cover.png
---

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 2 min read

# Pixalate Releases Q2 2024 Global Click Fraud Benchmarks Reports for Mobile Apps, Desktop Web, & Mobile Web Advertising Traffic: 19% of Desktop Open Programmatic Ad Clicks Are Fraudulent

 Written by [Pixalate](https://www.pixalate.com/blog/author/pixalate)

 Aug 27, 2024 2:00:00 PM

*New Pixalate research into 44 billion open programmatic ad transactions reveals an overall 19% click fraud rate across desktop web (19%), mobile web (15%), and mobile in-app (17%) in Q2 2024; LATAM had the highest desktop web click fraud rate (27%), followed by EMEA (21%), North America (19%), and APAC (12%)*

**LONDON, August 27, 2024** -- [Pixalate](https://www.pixalate.com/), the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Q2 2024 Global Click Fraud Benchmarks Reports for [desktop web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report), [mobile web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report), and [mobile in-app](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report) advertising.

The reports examine how many clicks on open programmatic advertisements were invalid or fraudulent - i.e., flagged for invalid traffic (IVT) - in Q2 2024. Pixalate’s data science team analyzed 44+ open programmatic transactions across 145+ million mobile and desktop websites, and 425K+ mobile apps to compile the research in this series.

## **Key Findings**** **

## **Desktop Web Click Fraud (Q2 2024)**

- **Invalid Click Rate: 19%** of global desktop web traffic clicks were invalid, down 27% quarter-over-quarter (QoQ)
- **Dominant Types of Click Fraud: 69%** of invalid clicks were due to **click farms** and **datacenter-based** Invalid Traffic (IVT)
- **Most Targeted Ad Size: 970x250** ad size was most impacted by click fraud (**59%**).
- **Regions with Highest Click Fraud Rates: **The LATAM region had the highest desktop web click fraud rate (27%), as measured by Pixalate, followed by EMEA (21%), North America (19%), and APAC (12%)

## **Mobile Web Click Fraud (Q2 2024)**

- **Invalid Click Rate: 15%** of global mobile/tablet web clicks were invalid, no change QoQ
- **Dominant Types of Click Fraud: 79%** of invalid clicks were flagged for click farm and **datacenter-based** IVT
- **Most Targeted Ad Size: 970x250** ad size was most impacted by click fraud (**55%**)
- **Regions with Highest Click Fraud Rates: **The LATAM region had the highest mobile web click fraud rate (19%), as measured by Pixalate, followed by EMEA (17%)

## **Mobile App Click Fraud (Q2 2024)**

- **Invalid Click Rate: 17%** of global mobile app clicks were invalid, up 70% QoQ
- **Dominant Type of Click Fraud: **Duplicate clicks generated **55%** of mobile app invalid clicks
- **Most Targeted Ad Size: 320x480** ad size was most impacted by click fraud **(41% IVT rate**)
- **Regions with Highest Click Fraud Rates: **The North America region had the highest mobile app click fraud rate (31%), as measured by Pixalate, followed by EMEA (25%)

Pixalate has developed a solution to address these hurdles by employing our Click Fraud Detection technology to effectively map clicks to impressions and identify IVT. Our platform enables detection of various IVT types associated with suspicious users, ad creatives, or publishers.

Download a free copy of Pixalate’s Q2 2024 Global Click Fraud Benchmarks Reports:

[![Desktop Web](https://no-cache.hubspot.com/cta/default/2364596/2bceb3bd-403f-423b-a60a-7b240cd961a2.png)](https://cta-redirect.hubspot.com/cta/redirect/2364596/2bceb3bd-403f-423b-a60a-7b240cd961a2)     [![Mobile Web](https://no-cache.hubspot.com/cta/default/2364596/c4190f99-915d-4f92-993e-f7843112be0f.png)](https://cta-redirect.hubspot.com/cta/redirect/2364596/c4190f99-915d-4f92-993e-f7843112be0f)     [![Mobile Apps](https://no-cache.hubspot.com/cta/default/2364596/a0022fde-833d-40f5-a15e-84f42309334b.png)](https://cta-redirect.hubspot.com/cta/redirect/2364596/a0022fde-833d-40f5-a15e-84f42309334b)

**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](https://www.pixalate.com/)

**Disclaimer****  
**

The content of this press release, and the Q2 2024 Global Click Fraud Benchmark Reports for Desktop, Mobile Apps and Web Traffic, 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.

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# Disclaimer

 Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary 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 - opinion, not facts or guarantees.

 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.”

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