{"id":93635,"date":"2023-11-22T05:32:49","date_gmt":"2023-11-22T05:32:49","guid":{"rendered":"https:\/\/pr.asianetpakistan.com\/?p=114590"},"modified":"2023-11-22T05:32:49","modified_gmt":"2023-11-22T05:32:49","slug":"pixalate-launches-made-for-advertising-mfa-detection-and-blocking-technology-for-websites-connected-tv-mobile-apps","status":"publish","type":"post","link":"https:\/\/jordannewsgazette.com\/pixalate-launches-made-for-advertising-mfa-detection-and-blocking-technology-for-websites-connected-tv-mobile-apps\/","title":{"rendered":"Pixalate Launches \u201cMade For Advertising\u201d (MFA) Detection and Blocking Technology for Websites, Connected TV & Mobile Apps"},"content":{"rendered":"
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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<\/h4>\n

London, UK, Nov. 21, 2023 (GLOBE NEWSWIRE) — Pixalate<\/a>, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today announced the launch of\u00a0 \u201cMade for Advertising\u201d (MFA) technology to detect and block MFA websites, CTV and mobile apps. Pixalate\u2019s 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.<\/p>\n

Pixalate\u2019s 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.<\/p>\n

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.<\/p>\n

Pixalate’s MFA risk assessment technology uses the following data points, enabling ad buyers to adjust their MFA risk threshold:<\/p>\n

Connected TV App MFA Risk Definition and Criteria\u00a0\u00a0<\/strong><\/p>\n