---
title: Pixalate’s Q4 2024 LATAM Click Fraud Benchmark Reports for Mobile Apps, Desktop Web, & Mobile Web
description: Pixalate’s Q4 2024 Click Fraud Benchmark Reports for LATAM 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%20Media/Blog%20covers/Q4%202024%20Click%20Fraud%20Benchmarks%20Report%20-%20LATAM.png
---

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 2 min read

# Pixalate’s Q4 2024 LATAM Click Fraud Benchmark Reports for Mobile Apps, Desktop Web, & Mobile Web: 34% Click Fraud Rate on Desktop Web, 10% on Mobile Web, & 17% on Mobile In-App

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

 Jan 29, 2025 1:00:00 PM

*New Pixalate research into 43+ billion global open programmatic ad transactions reveals Chile was impacted by mobile web click fraud traffic (45% IVT rate) in Q4 2024. In LATAM, duplicate click IVT was the most dominant type of IVT related to click fraud on mobile web*

**LONDON, January 29, 2025** -- [Pixalate](https://www.pixalate.com/), the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q4 2024 Latin America Click Fraud Benchmarks Reports for [desktop web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report-for-latam), [mobile web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report-for-latam), and [mobile](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report-for-latam) in-app advertising. The reports highlight various types of click-related invalid traffic (IVT) in the LATAM region and pinpoint high-risk categories, platforms, and countries impacted by IVT.

In addition to the Latin America (LATAM) report, Pixalate released regional reports for Europe, the Middle East, Africa (EMEA), North America, 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**

## **LATAM Desktop Web Click Fraud (Q4 2024)**

- **Invalid Click Rate: 34%** of desktop web traffic clicks were invalid

## **LATAM Mobile Web Click Fraud (Q4 2024)**

- **Invalid Click Rate: 10%** of mobile web traffic clicks were invalid
- Chile was most impacted (45% IVT rate)
- **Dominant Types of Click Fraud: 27%** of invalid clicks were flagged for **duplicate click **IVT

## ** ****LATAM Mobile App Click Fraud (Q4 2024)**

- **Invalid Click Rate: 17%** 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:****  
**

| **APAC** - [Desktop Web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report-for-apac) - [Mobile Web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report-for-apac) - [Mobile Apps](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report-for-apac) | **LATAM** - [Desktop Web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report-for-latam) - [Mobile Web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report-for-latam) - [Mobile Apps](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report-for-latam) | **North America** - [Desktop Web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report-for-north-america) - [Mobile Web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report-for-north-america) - [Mobile Apps](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report-for-north-america) | **EMEA** - [Desktop Web](https://www.pixalate.com/desktop-web-click-fraud-benchmarks-report-for-emea) - [Mobile Web](https://www.pixalate.com/mobile-web-click-fraud-benchmarks-report-for-emea) - [Mobile Apps](https://www.pixalate.com/mobile-app-click-fraud-benchmarks-report-for-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](https://www.pixalate.com/)

***Disclaimer***

*The content of this press release, and the Q4 2024 LATAM 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.”*

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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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