Pixalate Releases Top 11 Roku Connected TV (CTV) Ad Fraud Types in Q1 2024: Invalid SSAI (Proxy) is No. 1, Accounts for 40% of Invalid Traffic (IVT)

Pixalate’s research into open programmatic advertising finds Invalid SSAI (Proxy) is the most common form of ad fraud within Roku TV impacting 2K+ distinct apps on the Roku TV app store; Bundle ID (App) Spoofing ranks second (39%) impacting 3k+ distinct apps in Q1 2024


LONDON, April 26, 2024 (GLOBE NEWSWIRE) -- Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Top 11 Roku Connected TV (CTV) Ad Fraud Types in Q1 2024. Pixalate also released Amazon Fire TV, Apple TV, and Samsung Smart TV versions of the report.

The report covers invalid traffic (IVT) and ad fraud across CTV app stores, including the number of distinct apps impacted. To compile the research in this series, Pixalate’s data science team analyzed over 6 billion open programmatic advertising impressions across 6k+ mapped CTV apps in Q1 2024. IVT types are rated most common according to the share of invalid traffic within each CTV app store.


Top Ad Fraud Types on Roku Store Apps in Q1 2024

  • Invalid SSAI (Proxy) (40% of all IVT) is the most common of the 11 IVT types identified
    • Impacted 2k+ distinct apps on Roku TV app store
  • Bundle ID (App) Spoofing (39%) is the second most common IVT type
    • Impacted 3k+ distinct apps on Roku TV app store

Download the full report.


For the purposes of this report, “Proxy” is defined as impressions from an intermediary proxy device that exists to manipulate traffic counts, pass non­-human or invalid traffic, or fails to comply with the protocol. “Bundle ID (App) Spoofing'' indicates  impressions in which the app identifier reported to the exchange does not match the characteristics of the app detected by Pixalate. For more information on IVT types, visit Pixalate’s IVT knowledge base.
Top CTV Ad Fraud Types by Platform

Pixalate is MRC-accredited for the detection and filtration of Sophisticated Invalid Traffic (SIVT) across desktop and mobile web, mobile in-app, and Connected TV (CTV). All of Pixalate’s MRC accredited measurement areas can be found here


For more information on IVT types, visit Pixalate’s IVT knowledge base

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 CTV’s Most Common IVT Types Report, reflects Pixalate’s opinions with respect to the factors that Pixalate believes can 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 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.”

 

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