Pixalate’s data science team analyzed over 70 billion open programmatic ad transactions across 10 million mobile apps in the Google Play Store and Apple App Store in Q3 2024 to compile this global research, including breakdowns by region (North America, EMEA, APAC, LATAM); An estimated $4 billion in open programmatic ad spend went to apps in the ‘Video Gaming’ IAB mobile app category according to Pixalate’s research.
LONDON, 1 November 2024 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the inaugural Global Mobile App Ad Spend Benchmarks Report for open programmatic advertising. The Q3 2024 report provides a detailed analysis of estimated global open programmatic ad spend on mobile apps from the Google Play Store and Apple App Store, including breakdowns by IAB categories and subcategories.
Pixalate also released North America, Asia-Pacific (APAC), Europe, the Middle East and Africa (EMEA), and Latin America (LATAM) versions of the report.
Pixalate’s data science team analyzed over 70 billion open programmatic ad transactions across 10 million mobile apps in the Google Play Store and Apple App Store in Q3 2024 to compile the research in this series. Pixalate's datasets consist predominantly of buy-side open auction programmatic traffic sources.
The report offers insights for advertisers evaluating contextual targeting strategies in the global open programmatic supply chain. With the rise of contextual advertising amidst the deprecation of cookies and behavioral targeting, advertisers can use the data and insights from this new report to understand the distribution of advertising spend as determined by Pixalate, across different IAB categories and subcategories within specific regions. Advertisers can further use the insights to optimize campaigns to reach more relevant audiences within appropriate mobile environments.
Download the reports for a complete analysis and review of IAB Category Mobile App Ad Spend Trends:
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 Ad Spend Benchmarks 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.”