Research finds “Masked IP” IVT impacted the most distinct apps on the Google Play and Apple App Stores in EMEA (89k), APAC (87k), LATAM (54k) regions
LONDON, April 17 2024 -- Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Q1 2024 Global List of Top Invalid Traffic (IVT) and Ad Fraud Types on apps in the Google Play Store and Apple App Store. Pixalate also released region-specific versions for North America, APAC, EMEA, and LATAM.
The report details invalid traffic (IVT) within apps in the Google Play Store and Apple App Store, including the number of distinct apps impacted. Pixalate’s data science team analyzed over 91 billion open programmatic advertising impressions across 471k+ mapped mobile apps in Q1 2024. IVT types are rated most common according to the share of invalid traffic within each mobile app store.
“Display Impression Fraud” refers to impressions that are generated from the same browser or device at a statistically significant inflated rate, per Pixalate’s analysis. “Masked IP” refers to impressions in which the IP of a user does not match the IP and the associated ISP reported in the advertising transaction.
Download the full report to see more common mobile in-app IVT types Globally:
Pixalate is MRC-accredited for the detection and filtration of Sophisticated Invalid Traffic (SIVT) across desktop and mobile web, mobile in-app, and Connected TV (CTV). All of Pixalate’s MRC accredited measurement areas can be found here.
For more information on IVT types, visit Pixalate’s IVT knowledge base.
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 Mobile’s Most Common IVT Types by Region Reports, reflects Pixalate’s opinions with respect to the 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 pertaining to the time period studied.
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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.”