Personalization at scale tops the data activation investment list at 38%, followed closely by real-time campaign optimization (35%) and audience segmentation (32%), according to a December 2025 survey from Supermetrics.

Personalization remains one of the most reliable attention drivers, but recent data shows consumers are still uneasy about how brands achieve it. People across age groups feel more negative than positive toward personalized ads—even though they pay more attention to content that feels relevant. The result is a widening gap between consumer expectations and marketer behavior. To unlock personalization’s upside, brands must apply AI to improve relevance and transparency, not just scale output.

Google is expanding its AI-powered travel planning and booking tools, introducing Canvas itineraries and broader agentic booking features directly within AI Mode in Search. The update brings real-time flight and hotel data, personalized recommendations, and streamlined reservations across major platforms, with full flight and hotel bookings coming soon. Google is also rolling out its Flight Deals tool globally. The shift toward surfacing these capabilities in Search should boost adoption and intensify pressure on travel companies that lag in AI-driven decision-making.

Marketing measurement is entering a new phase of speed and precision. InMarket’s Michael Della Penna told EMARKETER that marketers are moving beyond static reports toward real-time insights—fusing marketing mix modeling (MMM) and multi-touch attribution (MTA) to understand what drives incremental sales as campaigns run. AI-powered models now forecast lift, optimize spend, and connect awareness to conversion through unified platforms. With 56% of marketers prioritizing sales lift and nearly half investing in MMM, the focus is clear: decision speed over dashboards. InMarket’s end-to-end system exemplifies this shift, reframing measurement as a continuous feedback loop rather than a quarterly report.

Advances in AI and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concerns over fairness mean companies need to make scores transparent to consumers.