LONDON, June 8, 2023 -- Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the May 2023 CTV App Spoofing report for Amazon Fire TV, as a part of our CTV Ad Fraud Series, where we highlight unique forms of invalid traffic (IVT), inclusive of “ad fraud,” across the mobile open programmatic advertising marketplace.
This report covers CTV App Spoofing numbers on Fire TV apps for May 2023. For background information, methodology, and definitions related to CTV App Spoofing, please visit our inaugural CTV App Spoofing Report and view the FAQs there.
The following are the top 10 CTV apps from the Amazon Fire TV app store that were most impacted by app spoofing:
View the full list of Amazon Fire TV apps most targeted by app spoofing last month:
Be sure to check out our App Spoofing report for Roku
About Pixalate
Pixalate is the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising. We work 24/7 to guard your reputation and grow your media value. Pixalate offers the only system of coordinated solutions across display, app, video, and CTV for better 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 CTV/Mobile Ad Fraud Series (the “Report”), reflect Pixalate’s opinions with respect to the 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; 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 pertaining to apps in the Roku and Amazon app stores. 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.”
