According to Pixalate's October 2025 rankings, ‘Sudoku.com - Number Games’ is No. 1 on the Apple App Store, ‘WEBTOON: Manga, Comics, Manhwa’ is No. 1 on the Alphabet Play Store, ‘aol.com’ is No. 1 for Web, and ‘NBA’ is No. 1 on Roku based on open programmatic advertising traffic quality in the United States (U.S.)
LONDON, Nov. 07, 2025 (GLOBE NEWSWIRE) -- Pixalate, the leading global platform for ad fraud protection, privacy, and compliance analytics, today released the United States (U.S.) October 2025 Publisher Trust Index (PTI) rankings for open programmatic advertising traffic quality across mobile apps on the Apple App Store, Alphabet Play Store, websites, and major Connected TV (CTV) platforms, including Roku, Samsung Smart TV, Amazon Fire TV, and Apple TV.
The Publisher Trust Index provides a comprehensive method for assessing quality and offers monthly rankings of the world's websites and apps, bringing unprecedented transparency to the open programmatic advertising ecosystem.
In addition to the United States (U.S.) report, Pixalate also released Publisher Trust Indexes for the United Kingdom (UK), Germany, Japan, and Brazil.
US Mobile PTI Rankings (October 2025)
Apple App Store
Alphabet Play Store
US Web PTI Rankings (October 2025)
Web
US CTV PTI Rankings (October 2025)
Roku
Samsung Smart TV
Amazon Fire TV
Apple TV
Download the full rankings here.
Pixalate's data science team analyzed 28+ billion global open programmatic ad impressions across 17+ million mobile apps, Connected TV apps, and websites in October 2025 to compile this report.
Pixalate uses its proprietary algorithms to measure quality metrics, including invalid traffic (IVT or ad fraud), Made For Advertising (MFA) risk, brand safety, ad density, viewability, reach, and more. The Publisher Trust Index spans rankings for 235+ countries across all four global regions: North America, EMEA, APAC, and LATAM, and provides breakdowns by 20+ different IAB taxonomy categories.
Built on Pixalate's Media Rating Terminal (MRT), which includes Bundle ID Verification, Ad Fraud Risk Ratings, Monthly Active Users (MAU), and more, the Publisher Trust Index offers clear, consistent rankings. Publisher Trust Index: Methodology.
Download the Reports
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 U.S. October 2025 Publisher Trust Index (PTI) Rankings (the ‘Report’), reflects Pixalate's opinions with respect to factors that Pixalate believes may 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 programmatic advertising activity across in the time period studied. Per the Media Rating Council (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.” Where the traffic characteristics are suggestive of deliberate intent to mislead, such IVT is often referred to as “ad fraud.” Also 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.”
Nina Talcott
ntalcott@pixalate.com