Mobile web display drives 72% of made-for-advertising impressions, IAS reports

The concentration of MFA and brand risk on mobile web suggests current programmatic buying filters are failing to keep pace with high-density, low-quality inventory. For advertisers, the widening quality gap between video and display reinforces the shift toward premium video, which offers significantly higher viewability and lower clutter. As AI-generated 'slop' sites proliferate, the cost of quality control is rising, particularly in North American markets where invalid traffic is most prevalent. Watch for the impact of new CEO Lidiane Jones as IAS pivots toward AI-driven detection tools to reclaim the estimated $10 billion lost annually to MFA waste.

The rise of Made-for-Advertising (MFA) inventory has triggered a broader industry crackdown. Per AdExchanger (April 2024), the Association of National Advertisers (ANA) updated its programmatic media transparency study to reflect that roughly 21% of all programmatic impressions occur on MFA sites, leading to an estimated $13 billion in annual waste. These sites are characterized by high ad density and arbitrage-heavy traffic patterns, often utilizing aggressive pagination to artificially inflate impression counts. In June 2024, the IAB Tech Lab introduced new metadata standards allowing publishers to self-declare MFA status, though adoption remains voluntary.

Related scrutiny has also hit major platforms. Per The Wall Street Journal (June 2024), ad verification firms faced criticism after reports highlighted that ads meant for premium YouTube placements were sometimes appearing on low-quality third-party sites via Google Video Partners. This transparency crisis has accelerated the shift toward 'inclusion lists'—vetted groups of premium publishers—rather than relying solely on open-market programmatic bidding. GroupM, for instance, informed clients in early 2024 that it was refining its proprietary MFA detection logic to automatically exclude high-risk domains from its supply chain.

Technical challenges persist as MFA sites evolve to evade detection. Per Digiday (February 2025), fraudsters are increasingly using generative AI to create large volumes of articles that mimic legitimate news reporting, making it harder for simple keywords or domain filters to identify low-value inventory. This evolution has prompted verification firms like IAS and DoubleVerify to deploy more sophisticated attention metrics that measure hover time and scroll speed as proxies for genuine human engagement. The industry's focus is now shifting from simple viewability to 'attention' as the primary currency for high-value video and display placements.