According to Pixalate’s global research, 67% of websites flagged as likely MFA used Google AdExchange to sell open programmatic ads in April 2024, followed by Magnite (50%), and Xandr Monetize (45%); Bright Mountain Media, Mediavine, Opera Ads, AdForm A/S, and Freestar held the smallest shares, all falling below 1%
LONDON, 6 June 2024 –Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the April 2024 Web MFA Risk Analysis: Open Programmatic Sellers Report. The report is an analysis of open programmatic advertising sellers highlighting the highest and lowest aggregates of web MFA Traffic.
The report includes top sellers by estimated MFA ad spend, sellers MFA market share of voice (SOV), and the top ad platforms (SSPs) selling ads on MFA websites. 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.
Pixalate's data science team analyzed over 175 million open programmatic ad impressions globally from April 2024 to compile this research.
*Share of MFA websites with impressions sold by the given seller as of April 2024; as measured by Pixalate
*Ad spend estimated based on global open programmatic ad traffic in April 2024; as measured by Pixalate
Download the April 2024 Web MFA Risk Analysis: Open Programmatic Sellers Report today:
Pixalate's MFA designations are based on observed traffic patterns within their global data pool and do not solely rely on website crawling techniques, which can be manipulated. Several factors are analyzed to identify potential MFA websites, including:
Pixalate employs a multi-signal analysis approach to identify websites with traffic patterns exceeding established baselines, which are calculated by analyzing website impression quantiles across the entire dataset. Websites exceeding these baselines in one or more factors are flagged as potential MFA sites.
For more information, visit Pixalate’s MFA knowledge base.
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. www.pixalate.com
DISCLAIMER
The content of this press release, and Pixalate’s Web Made for Advertising Risk Analysis Report (the "Report") 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 Report 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.”