There were 1,788 press releases posted in the last 24 hours and 402,363 in the last 365 days.

Pixalate Releases Q4 2024 Global Connected TV (CTV) Bundle ID Mapping Reports for Roku, Amazon Fire TV, Apple TV, Samsung TV: 193 Bundle IDs Mapped to Samsung TV Plus

Pixalate’s research reveals 18% of estimated CTV ad spend across all 4 platforms went to non-standard App IDs (Bundle IDs) in Q4 2024; 107 Bundle IDs mapped to Sling TV on Roku devices, according to Pixalate’s data

London, Jan. 15, 2025 (GLOBE NEWSWIRE) -- Pixalate, a leading global platform for ad fraud protection, privacy, and compliance analytics, today released the Q4 2024 CTV Bundle ID Mapping Reports for Roku, Amazon Fire TV, Apple TV, and Samsung Smart TV.

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 ad fraudsters can exploit.

Key Findings in Pixalate’s Q4 2024 CTV Bundle ID Mapping Report

Roku:

  • Estimated Open Programmatic Ad Spend: 21% of global open programmatic ad spend went to non-standard Bundle IDs, requiring to be mapped to an App Store ID
  • App Bundle IDs: 29% of apps are referred to 2+ Bundle IDs in the open programmatic ad supply chain

Amazon Fire TV:

  • Estimated Open Programmatic Ad Spend: 12% of global open programmatic ad spend went to non-standard Bundle IDs, requiring to be mapped to an App Store ID
  • App Bundle IDs: 35% of apps are referred to by 2+ Bundle IDs in the open programmatic ad supply chain

Samsung Smart TV:

  • Estimated Open Programmatic Ad Spend: 10% of global open programmatic ad spend went to non-standard Bundle IDs, requiring to be mapped to an App Store ID
  • App Bundle IDs: 22% of apps are referred to by 2+ Bundle IDs in the open programmatic ad supply chain

Apple TV:

  • Estimated Open Programmatic Ad Spend: 5% of global open programmatic ad spend went to non-standard Bundle IDs, requiring to be mapped to an App Store ID
  • App Bundle IDs: 32% of apps are referred to by 2+ Bundle IDs in the open programmatic ad supply chain

Roku Apps Referred to by the Most Bundle IDs in Q4 2024

App Name App Store ID # of Bundle IDs
Sling TV - Live Sports, News, Shows + Freestream 46041 107 (+8% QoQ Change)
Fubo: Watch Live TV & Sports 43465 83 (+0)
Xumo Play 96065 36 (+13%)
Pluto TV - Free Movies/Shows 74519 18 (+0%)
FilmRise 45437 11 (-8%)


Apple TV Apps Referred to by the Most Bundle IDs in Q4 2024

App Name App Store ID # of Bundle IDs
Sling: Live TV, Sports & News 945077360 16 (+7% QoQ Change)
Pluto TV: Watch Movies/Live TV 751712884 7 (-36%)
Xumo Play: Stream TV & Movies 1068337978 7 (-13%)
Fubo: Watch Live TV & Sports 905401434 6 (+0%)
AMC: Stream TV Shows & Movies 1025120568 6 (+20%)


Amazon Fire TV Apps Referred to by the Most Bundle IDs in Q4 2024

App Name App Store ID # of Bundle IDs
Sling TV: Live Sports, News, Shows + Freestream B00ODC5N80 46 (-8% QoQ Change)
Xumo Play B07Q7N4GZG 34 (+36%)
Pluto TV - Watch Free Movies, Shows and Live TV B00KDSGIPK 16 (+33%)
Fubo: Watch Live TV & Sports, Shows, Movies & News B019DCHDZK 14 (-13%)
Discovery GO - Fire TV B06XJMH3QG 12 (+20%)


Samsung Smart TV Apps Referred to by the Most Bundle IDs in Q4 2024

App Name App Store ID # of Bundle IDs
SAMSUNG TV PLUS G15147002586 193 (+89% QoQ Change)
Sling TV: Live TV, Sports, News + Freestream G17198010041 40 (+14%)
Pluto TV G15136002408 14 (-18%)
Fubo: Watch Live TV & Sports G19068012619 13 (-13%)
Xumo Play G16300008593 10 (-9%)


Pixalate’s Bundle ID to App Store ID mapping APIs can help by consistently handling Bundle IDs, improving the accuracy of tracking, measurement, and reporting.

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

Pixalate’s data science team analyzed programmatic advertising activity across over 6,000 Connected TV (CTV) apps and 6.9 billion global open programmatic ad transactions on Roku, Amazon Fire TV, Apple TV, and Samsung Smart TV devices in Q4 2024 to compile this research.

Download Pixalate’s CTV Bundle ID Mapping Reports

About Pixalate

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). www.pixalate.com

Disclaimer

The content of this press release, and the Q4 2024 CTV Bundle ID Mapping Reports (the “Reports”), reflect Pixalate's opinions with respect to factors that Pixalate believes may be useful to the digital media industry. Pixalate’s opinions are just that, opinions, which means that they are neither facts nor guarantees; and neither this press release nor the Report are intended to impugn the standing or reputation of any entity, person or app, but instead, to report findings and apparent trends in the time period studied. 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.”


Nina Talcott
ntalcott@pixalate.com

Primary Logo

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.