Pixalate Releases Top 100 Connected TV (CTV) Bundle ID Rankings For Global Open Programmatic Ad Spend on Roku, Amazon Fire TV, Samsung Smart TV, and Apple TV in June 2025

According to Pixalate’s research into the most popular CTV app Bundle IDs based on estimated open programmatic ad spend, the Bundle ID for ‘Samsung TV Plus’ (g15147002586) ranked first on ‘Samsung Smart TV’, while the Bundle ID for ‘Hulu’ led on Roku (com.hulu.plus.roku). On Apple TV, the Bundle ID for ‘Fubo’ (905401434) was the most popular, and on Amazon Fire TV, the Bundle ID for ‘Pluto TV’ (b00kdsgipk) held the No. 1 spot

London, July 08, 2025 (GLOBE NEWSWIRE) -- Pixalate, the leading ad fraud protection, privacy, and compliance analytics platform, today released the June 2025 Top 100 Bundle IDs for Global Open Programmatic Connected TV (CTV) Advertising.

Pixalate analyzed more than 1.6 billion impressions across 4.3K+ CTV apps with open programmatic advertising to compile this research. The rankings are based on global open programmatic advertising data, as measured by Pixalate. The Bundle IDs are ranked after invalid traffic (IVT), as measured by Pixalate, is removed.

The reports also include the top 10 most popular Bundle IDs for each CTV platform in key regions, including North America, Europe, the Middle East, Africa (EMEA), and Latin America (LATAM).

Key Findings:

• On Amazon Fire TV, the top 100 Bundle IDs map to 87 distinct CTV apps
• On Roku, the top 100 Bundle IDs map to 80 distinct CTV apps
• On Apple TV, the top 100 Bundle IDs map to 93 distinct CTV apps
• On Samsung Smart TV, the top 100 Bundle IDs map to 74 distinct CTV apps

Top 10 Most Popular Bundle IDs for Programmatic Advertising in CTV (June 2025) - Roku

Top 10 Most Popular Bundle IDs for Programmatic Advertising in CTV (June 2025) - Amazon Fire TV

Top 10 Most Popular Bundle IDs for Programmatic Advertising in CTV (June 2025) - Apple TV

Top 10 Most Popular Bundle IDs for Programmatic Advertising in CTV (June 2025) - Samsung Smart TV

Why is it important to see the top Bundle IDs for CTV apps?

In CTV advertising, programmatic advertisers use “Bundle IDs” to identify specific CTV apps. A lack of standardization around the syntax of Bundle IDs has led to confusion around targeting and measurement, creating a vulnerability that ad fraudsters can exploit.

Pixalate’s Bundle ID to App Store ID mapping APIs can help by consistently handling Bundle IDs, ensuring accurate tracking, measurement, and reporting.

Additionally, the IAB Tech Lab has issued guidelines for using app IDs, and OpenRTB 2.6 has offered support for Channel and Network Objects information to avoid overloading the Bundle ID field.

Download the Top 100 CTV Bundle IDs in June 2025 for each platform here:

Samsung Smart TV
Amazon Fire TV
Apple TV
Roku

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 June 2025 Top 100 Most Popular Bundle IDs for Global Open Programmatic Connected TV (CTV) Advertising Report (the “Report”), reflects Pixalate's opinions with respect to factors that Pixalate believes may be useful to the digital media industry. Any insights shared are grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources in the Report and herein 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 in the time period studied.

Nina Talcott
ntalcott@pixalate.com

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