LONDON, September 23, 2024 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Global Mobile App IVT Trends: IAB Categories for Open Programmatic Advertising Report.
Pixalate also released North America, Asia-Pacific (APAC), Europe, the Middle East and Africa (EMEA), and Latin America (LATAM) versions of the report.
The reports analyze each region’s top 10 IAB app categories by estimated open programmatic ad spend, invalid traffic (IVT) including ad fraud by app category, and the most prevalent types of IVT detected and identified within IAB app categories. Learn more about the types of invalid traffic detection.
Pixalate’s data science team analyzed over 60 billion open programmatic ad transactions across 7.3 million mobile apps in the Google Play Store and Apple App Store (including apps deemed delisted by Pixalate) in Q2 2024 to compile the research in this series. Pixalate's datasets consist predominantly of buy-side open auction programmatic traffic sources.
Download the reports for a complete analysis and review of each region’s top 10 IAB app categories by estimated open programmatic ad spend and the top IVT types within each category:
About Pixalate
Pixalate is a global market-leading ad fraud protection, privacy, and compliance analytics platform. Pixalate works 24/7 to guard your reputation and grow your media value by offering the only system of coordinated solutions across display, app, video, and CTV for the detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and CTV advertising. www.pixalate.com
Disclaimer
The content of this press release, and the Mobile App IVT Trends: IAB Categories Reports, reflect 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.
*By entering your email address and clicking Subscribe, you are agreeing to our Terms of Use and Privacy Policy.
These Stories on Benchmarks
*By entering your email address and clicking Subscribe, you are agreeing to our Terms of Use and Privacy Policy.
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.”