New feature delivers continuous monitoring and rating of 100+ million web domains, CTV and mobile apps assigning a high, medium, or low MFA risk assessment
London, UK, Nov. 21, 2023 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today announced the launch of “Made for Advertising” (MFA) technology to detect and block MFA websites, CTV and mobile apps. Pixalate’s MFA solution rates websites, CTV and mobile apps with a high, medium, or low MFA risk; this new feature is available in Beta across the Pixalate product suite.
Pixalate’s MFA detection technology models historical open programmatic transaction data across all apps, pages and URLs; an October 2023 MFA Pixalate assessment deemed over 15K MFA websites and apps high risk. MFA websites and apps can feature intrusive advertising techniques like pop-up ads, auto-play videos, or ads restricting access to content, often resulting in a poor advertising-to-attention ratio.
With the release of this new feature, Pixalate addresses the nuances of MFA in CTV and mobile apps by incorporating metrics beyond ad refresh and ad density to include the age of the app, invalid traffic (IVT) rates, user ratings, and popularity rankings. Pixalate uses statistical techniques such as Univariate/Multivariate Descriptive and Gaussian curve analysis to assign high, medium, or low MFA risk to websites, CTV, and mobile apps.
Pixalate's MFA risk assessment technology uses the following data points, enabling ad buyers to adjust their MFA risk threshold:
Connected TV App MFA Risk Definition and Criteria
Mobile App MFA Risk Definition and Criteria
Website MFA Risk Definition and Criteria
Examples of Made for Advertising in Websites, CTV and Mobile Apps:
MFA Mobile App Example: MFA observed by Pixalate in mobile app shows ads blocking the apps’ content, promoting unqualified clicks from users therefore impeding the implied app functionality.
MFA CTV App Example: Pixalate observed a MFA CTV app presenting small thumbnail-sized video ads instead of full-screen ads. The videos run back-to-back, muted, and constantly in a corner of the screen overlaid on the intended CTV content.
MFA Website Example: The example MFA website met Pixalate’s criteria for MFA based on the number of ad placements, ad refresh rate, and traffic source types.
MFA Detection and Real-time Blocking:
Visit Pixalate’s blog to learn more about Pixalate’s MFA capabilities.
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.
DISCLAIMER
The content of this press release, and Pixalate’s Made for Advertising Risk solutions (the "Services") reflect Pixalate’s opinions with respect to factors that Pixalate believes can be useful to the digital media industry. Any data shared in this press release and/or the Services is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. 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, website, or app, but, instead, to report findings and trends pertaining to programmatic advertising activity in the time period studied.
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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.”
