Discover the Top 100 Mobile Apps in Q1 2026 across the Google Play Store in the Asia Pacific (APAC) region, based on the average monthly open programmatic ad revenue. These reports provide a clear map of where advertisers deployed their capital in Q1.
By clicking Download and entering your email address, you are agreeing to our Terms of Use and have read and acknowledge our Privacy Policy.
Google Play Store |
Apple App Store |
Pixalate’s data science team analyzed 56B global open programmatic impressions across 7M mobile apps from the Google Play Store and Apple App Store. The rankings, which are released quarterly, highlight the top 100 apps by average monthly open programmatic ad revenue in Q1 2026.
We calculate estimated programmatic ad spend through proprietary statistical models that incorporate programmatic monthly active users (MAU), the average session duration per user, an average CPM for the category of a given app, and ad density.
To learn more about the top grossing mobile apps, visit our website.
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).
Contact
Offices
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.”
