Meta is restructuring its European ad system under pressure from the Digital Markets Act (DMA), setting up one of the most consequential shifts to its ad targeting model in a decade, per The Economic Times. Users can opt to allow full data sharing for personalized ads or limit data sharing and receive a lighter, less-tailored ad experience. Brands reliant on Meta or those that have deep EU campaigns should diversify targeting inputs, invest in creative that performs without deep personalization, and build measurement strategies resilient to thinner data signals.

New Apple research points to the iPhone company pairing large language models (LLMs) with traditional sensors to build a more precise understanding of what a user is doing in real time. It’s likely to show up in sensor-enabled smartphones, computers, and smart home hubs hinged on ambient intelligence. Brands should explore how to design for moments, not messages. Build content and promotions that surface organically depending on a user’s activity, be it cooking, commuting, or exercising—so brands show up when it matters most.

Acxiom, IPG Mediabrands, and IRIS.TV have partnered to launch Acxiom Contextual CTV, a privacy-safe targeting tool powered by IRIS_ID. The solution analyzes content context—genre, subject, tone—without using personal identifiers, addressing rising privacy concerns as cookies disappear. Already present in 17–40% of US bidstream inventory, IRIS.TV enables more accurate targeting, while early pilots show higher video completion rates and stronger brand lift. Publishers benefit too, with CPMs rising as much as 25%. With CTV ad sales projected to hit $46.9 billion by 2028, this approach could set a new industry standard for performance, compliance, and contextual relevance.