Pixalate’s data science team analyzed over 2.2 billion open programmatic advertising impressions across 12k+ CTV Bundle IDs mapped to 5k+ unique CTV apps in September 2024 on Amazon Fire TV, Roku, Samsung Smart TV, and Apple TV to compile the research in this series.
LONDON, 31 October 2024 – Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q3 2024 Connected TV (CTV) Malformed and Fraudulent Bundle IDs Risk Reports for Amazon Fire TV, Roku, Apple TV, and Samsung Smart TV CTV apps.
The reports include a detailed analysis of the global state of non-standard and malformed Bundle IDs in the open programmatic advertising supply chain as of Q3 2024. “Malformed” Bundle ID represents an app identifier used in the ad bid uncorrelated or unmapped to any known app, according to Pixalate’s Bundle ID mapping technology. These “Malformed” Bundle IDs disrupt ad targeting and campaign measurement, and open the door to ad fraud.
Pixalate’s data science team analyzed over 2.2 billion open programmatic advertising impressions across over 12k CTV Bundle IDs mapped to over 5k unique CTV apps in September 2024 on Amazon Fire TV, Roku, Samsung Smart TV, and Apple TV to compile the research in this series.
Malformed and/or Fraudulent Bundle ID | ||||
Rank (by Impression SOV) |
Roku | Amazon Fire TV | Samsung Smart TV | Apple TV |
1 | eyeq | eyeq | 3202204027073 | 5232783 |
2 | onefox | tempbundleid18jcc5al86 | g3201511006428 | 3794814 |
3 | [replace_me] | b00hcp9zdy | eyeq | eyeq |
4 | 75419 | tempbundleid18jcc5bei2 | g3202305030895 | 8389520 |
5 | 84f1d9c6673633a8b6bdbead8759b7bf | onefox | onefox | 3735519 |
Download the full report to receive a list of the top 50 malformed Bundle IDs - ranked by impression volume and by CTV platform - as measured by Pixalate in September 2024.
About Pixalate
Pixalate is a global market-leading ad fraud protection, privacy, and compliance analytics platform. Pixalate works 24/7 to guard your reputation and grow your media value by offering the only system of coordinated solutions across display, app, video, and CTV for the detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and CTV advertising. www.pixalate.com
Disclaimer
The content of this press release, and the Malformed Bundle IDs Reports (the “Report”), reflect Pixalate's opinions with respect to factors that Pixalate believes can be useful to the digital media industry. 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 CTV 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.”.
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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.”