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 (GLOBE NEWSWIRE) -- 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

MFA Risk: Pixalate's assessment of the risk (High, Medium or Low) of the CTV app being deemed MFA
- Ad Refresh Rate: Number of ad impressions observed per device, per hour
- Age: Age of the app on the App Store
- IVT: IVT% of the App across regions
- Popularity Score: Pixalate’s popularity score for the app
- Reviews: Number of Reviews

Mobile App MFA Risk Definition and Criteria

MFA Risk: Pixalate's assessment of the risk (High, Medium or Low) of the mobile app being deemed MFA
- Ad Refresh Rate: Number of ad impressions observed per device per hour
- Age: Age of the app on the App Store
- IVT: IVT% of the app across regions
- Popularity: Pixalate’s popularity score for the app
- Reviews: Number of Reviews

Website MFA Risk Definition and Criteria

MFA Risk: Pixalate’s assessment of the risk (High, Med or Low) of the website being deemed MFA
- Ad Density Rate: Number of ad placements observed per device, per minute
- Ad Refresh Rate: Number of ad impressions observed per device, per minute
- Paid Traffic Rate: Volume of traffic sourced via paid (ad) sources
- Social Traffic Rate: Volume of traffic sourced via social media

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:

MFA Blocking Technology: Distinct Data Feeds for MFA mobile apps, CTV apps, and websites
- Segmented by medium- and high-risk
- Available via API or FTP for high performance and low latency
MFA Risk Assessment in the Media Ratings Terminal: Pixalate’s ad supply chain intelligence tool, the Media Ratings Terminal (MRT), now includes MFA risk assessments

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.

Attachment

MFA Risk Assessment in the Media Ratings Terminal

This item of content is a press release from a third party provider who make no warranties or representations in connection with this content and therefore PA can make no warranties in respect of its use.

Tags

More Like This

Pixalate Announces General Availability of Ad Fraud Prevention API with Pay-As-You-Go Pricing for Website, Mobile and Connected TV App Developers

MediaGo, the intelligent advertising platform under Baidu Global, partners with Pixalate to strengthen its anti-fraud technology.

1 in 3 Domains Fail Media Quality Thresholds, According to Ground-breaking New Report

MediaGo and The Media Trust expand partnership to create safe and clean advertising experiences

Medius Launches Fraud & Risk Detection to catch fraud before it's too late

Fresha's AI-Powered Defense Reduces Fraud By 99%

Entersekt Awarded New Patent for Frictionless Multi-Factor Authentication (MFA)

Mangopay launches new AI-driven Fraud Prevention solution for platforms