By itorial Staff with No comments Digital InsightsDigital Marketing
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Global mia measurement and optimization platform Integral Ad Science announc today, Wnesday, March 6, 2024, the expansion of its Artificial Intelligence-bas Made for Advertising (MFA) solution . With this enhancement, IAS now offers advertisers “the first solution capable of measuring and optimizing to avoid both MFA websites, made for advertising, and Ad Clutter, i.e. websites saturat with advertising.”
The AI-bas MFA measurement solution expands the beta version that was announc in the last quarter of 2023 and will be available globally at the beginning of the second quarter of 2024, as report by the company in a press release sent to the mia.
MFA websites are websites
A built solely to serve ads (such as spam websites or ad farms). Ad Clutter websites, on the other hand, are websites that contain a high ad density and a high ad-to-content ratio, leading to lower performance. Unlike static exclusion lists, IAS uses advanc machine learning technology and additional signals built into its platform to intelligently identify MFA and Ad Clutter sites.
According to the recent ANA (Association of National Advertisers) study titl telemarketing sms phone number lead Programmatic Mia Supply Chain Transparency , MFA sites account for 21% of impressions and 15% of ad spend, showing the significant opportunity for advertisers and agencies to better understand where their impressions are being shown and how to optimize outside of MFA sites to ruce wast ad spend.
In this regard, the press
A release specifies that Integral Ad Science ’s analysis of more than 40 user experience optimization tools agencies and brands around the world reveal “that traffic serv on sites classifi as non-MFA has a 278% higher conversion rate than traffic on MFA sites.” It also mentions that other AI analyses also reveal that quality mia were more profitable than those classifi as MFA, since they ruc the cost per conversion by 63%.
Learn more about IAS’ Made for Advertising solution
In this context, IAS’ MFA product “supports the ANA definition for MFA alb directory sites and has been train using Sincera’s metadata library along with Jounce Mia’s MFA domain list.
