Pixalate is the first global ad fraud prevention platform to analyze mobile app MFA data; the Pixalate data science team analyzed 5.1M downloadable mobile apps from the Google Play Store and Apple App Stores, and 50+ billion global open programmatic advertising impressions on mobile devices in Q1 2024, to compile this research
LONDON, June 12, 2024 --- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q1 2024 Made For Advertising (MFA) Ad Spend Report for Mobile Apps for apps in the Google Play Store and Apple App Store. It is the ad industry’s first report benchmarking MFA across mobile apps.
The report benchmarks advertising trends on likely MFA mobile apps, including ad spend, age of MFA apps, top grossing MFA mobile apps for open programmatic advertising, and MFA mobile app developers. Pixalate also released web and CTV versions of the report.
Pixalate's data science team analyzed 5.1 million downloadable mobile apps, and 50+ billion global open programmatic advertising impressions on mobile devices in Q1 2024, to compile this research.
Pixalate’s Made for Advertising (MFA) Mobile Apps Benchmark Report includes:
Download the full report today:
About Pixalate
Pixalate is a global platform for privacy compliance, ad fraud prevention, and data intelligence in the digital ad supply chain. Founded in 2012, Pixalate’s platform 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 MRC-accredited for the detection and filtration of Sophisticated Invalid Traffic (SIVT). www.pixalate.com
Disclaimer
The content of this press release, and the Global Benchmark Report for Made For Advertising mobile Apps (the "Report"), reflect Pixalate's opinions with respect to factors that Pixalate believes can be useful to the digital media industry. Any data shared in this press release and/or the Report is grounded in Pixalate's proprietary technology and analytics, which Pixalate is continuously evaluating and updating. 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, website, or app, but, instead, to report findings and trends pertaining to programmatic advertising activity in 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.”