Pixalate’s research shows that the Bundle ID for ‘Paramount+’ (530168168) was No. 1 on Apple TV in November 2025, while ‘Hulu’ ranked first on Roku (com.hulu.plus.roku) and LG Smart TV (com.hulu.plus). On Amazon Fire TV, ‘Fawesome’ (b076x8fkxp) took the top spot, while on Samsung Smart TV, ‘Samsung TV Plus’ (g15147002586) was No. 1

LONDON, December 4, 2025 -- Pixalate, today released the November 2025 Top 100 Most Popular Connected TV (CTV) Bundle ID Rankings for Open Programmatic CTV Advertising. The rankings cover Samsung Smart TV, Amazon Fire TV, Apple TV, Roku, and LG Smart TV.

Pixalate’s data science team analyzed 1.3 billion programmatic impressions across 900+ CTV apps in November 2025. The rankings reflect global open programmatic ad impressions after invalid traffic (IVT) removal.

Key Findings

• Roku: Top 100 Bundle IDs map to 74 distinct CTV apps, 47 developers.
  • Top Sellers: MetaX (27 apps), Bright Mountain Media (17 apps), Screencore (12 apps)
• Apple TV: Top 100 Bundle IDs map to 97 distinct CTV apps, 72 developers.
  • Top Sellers: Voise Tech Ltd (12 apps), Sovrn (12 apps), Amagi (9 apps)
• Amazon Fire TV: Top 100 Bundle IDs map to 87 distinct CTV apps, 51 developers.
  • Top Sellers: PubMatic (16 apps), Bright Mountain Media (16 apps), Sovrn (13 apps)
• Samsung Smart TV: Top 100 Bundle IDs map to 59 distinct CTV apps, 47 developers.
  • Top Sellers: BeachFront (30 apps), Sovrn (16 apps), MetaX (10 apps)
• LG Smart TV: Top 100 Bundle IDs map to 63 distinct CTV apps, 48 developers.
  • Top Sellers: Sovrn (17 apps), Afront (11 apps), Amagi (9 apps)

10 Most Popular Amazon Fire TV Bundle IDs for Programmatic Advertising (November 2025) 

Roku

LG Smart TV

Amazon Fire TV

Apple TV

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 ID Rankings in November 2025 for each platform here:

For these reports, Pixalate’s data science team analyzed 1.4 billion Impressions across 900 CTV apps in November 2025.

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 November 2025 Top 100 Most Popular CTV Bundle ID Ranking Reports (the “Reports”), reflect 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.”