Pixalate is the leading Ad Fraud investigator in the Programmatic Advertising ecosystem. Our years of experience in the industry have led to the discovery of some of the most pervasive ad fraud schemes ever seen, spanning Connected TV (CTV), Mobile Apps, and Websites.
Pixalate has shared the 50 apps spoofed most often, for each iOS and Android, as part of the 'Matryoshka' ad fraud scheme in Q3 2020.
Including:
Pixalate researchers recently uncovered “Monarch,” an apparent Connected TV/OTT ad fraud scheme that targeted Roku apps and appears to have defrauded numerous advertisers, including:
Pixalate's DiCaprio discovery details how dating app Grindr was utilized in an apparent ad fraud scheme that tricked advertisers into thinking they were buying video advertisements on Roku OTT/CTV devices.
See which Roku apps were spoofed (victimized) as part of this scheme, containing:
Pixalate has identified what we believe is a significant example of mobile app laundering that relies heavily upon Bundle ID spoofing, costing brands a minimum of $75 million per year.
With anything of this magnitude, a large number of brands are impacted. However, based on further research into the activity, Pixalate was able to identify and verify some of the exact brands that we believe were impacted by this event.
This is a partial list, representing a snapshot of companies that we believe were victimized by the apparent invalid activity.
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.”