Walmart has expanded its Scintilla Digital Landscapes platform with new capabilities that give suppliers a clearer, data-rich view of how customers move from discovery to purchase.
AdsGency, which bills itself as the first agentic operating system for advertisers, is working to unify the entire advertising process in a single ecosystem. Its large language models (LLMs) target the ideal audience, create the ads, and automate the ad-buying process. AdsGency is breaking down siloes and democratizing advertising for smaller teams that don’t have the talent budget of larger companies. But at the same time, it’s taking over for humans and can easily miss the nuance that people can provide. Brands could adopt systems like AdsGency for targeting, placements, and analytics but leave the content to human creatives.
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.
Google has officially eliminated its Privacy Sandbox and removed the remaining 10 Sandbox technologies that were still available, marking an end to its yearslong plan to pivot away from third-party cookies on Chrome. Even as giants like Google step away from first-party initiatives, advertisers should prepare for continued change as many are pushing forward with post-cookie ambitions. Cookies may linger for some time to come, but that doesn’t negate broader consumer sentiments that favor data transparency.
This sponsored article by TransUnion® will explore why marketers’ trust in measurement is plateauing.
Twilio’s new tools solve a major marketing bottleneck: unreliable customer data signals. Its update turns Twilio Segment into a real-time control tower by giving marketers and engineers a shared view of what’s working and what’s broken across the customer journey, per MarTech. Marketers don’t need more data—they need usable data. Twilio’s tools clean the pipes and light up dashboards, turning signal chaos into signal clarity while giving brands the confidence and autonomy to act without second-guessing. Brands that delay addressing unreliable signals risk falling behind as data blind spots widen and personalization breaks down.
DirecTV and Glance will bring AI-powered ads to idle TV screens in 2026, per Digital Trends. Instead of a screensaver, DirecTV’s streaming devices will display personalized AI content, opening doors for shoppable ads, travel ideas, news, and more. Personalization is key for those spots to succeed. Advertisers should focus on demographics and viewing context for placements. If the ads don’t feel relevant or include images that delve into uncanny valley, consumers could turn off the TV and leave the brand altogether.
47% of US banking decision-makers say their institutions have already rolled out generative AI, up from 10% in 2023, said data from EY-Parthenon.
Once seen as a revenue channel, commerce media is fast becoming the connective tissue between brands, retailers, and consumers. The industry’s focus is expanding from monetization to meaning, a theme that resonated throughout Advertising Week New York.
At Tech Futures 2025 in New York last week, IBM general manager of corporate strategy Roger Premo and VP of AI and automation Nick Fuller outlined how enterprises and brands can scale AI responsibly—and profitably. Acting as “client zero,” IBM has improved its run rate by $3.5 billion—about 8% of its revenues—through internal AI adoption. Brands that treat AI as a business transformation, not a tech trial, will move faster from proof of concept to profit. Align leadership vision with a disciplined data strategy, invest in unified platforms, and embed governance from the start.
At Philadelphia’s 1682 conference, Coca-Cola’s Benny Lee and Hershey’s Andy Hunt shared how two of the world’s oldest CPG brands are transforming retail through creativity, data, and AI. Coca-Cola is evolving from selling beverages to designing experiences—using AI to power global design systems and create immersive in-store storytelling through products like Y3000. Hershey’s is closing the gap between physical and digital by embedding data into every stage of retail, from aisle feedback to retail media KPIs. Both executives envision the store of the future as dynamic, data-driven, and human-led—where AI supports storytelling, not automation.
OpenAI announced a blockbuster deal to design its own AI chips in collaboration with Broadcom, continuing a trend of AI companies seeking partnerships and investments to own both ends of the AI stack, per The New York Times. OpenAI’s Broadcom deal is a turning point in AI strategy—from chasing smarter models to securing the power that fuels them. For enterprises, this is the moment to pick sides. The competitive advantage in the next decade belongs to those who align with partners that control their infrastructure, not just their algorithms.
Salesforce’s launch of Agentforce 360 is a sign that agentic AI is moving into the marketing stack, signaling that automation is becoming a core capability rather than a future experiment. Agentforce can help CMOs decide how far to push agentic AI across their marketing stack. To move from experimentation to deployment, CMOs should start with focused pilots in high-volume touchpoints like chat or email with clear success metrics, such as resolution time or customer satisfaction.
Both Google and Apple ramped up their bug bounty programs and are now offering record payouts to secure sprawling digital ecosystems. Big Tech’s rapid expansion has outpaced internal defenses, forcing companies to rely on external hackers to find and fix security gaps. Big Tech’s growing reliance on outside hackers shows how fast digital risks are rising. Brands can’t wait for problems to surface. Protecting data and trust now requires constant monitoring, quick response plans, and open communication when things go wrong.
A Yext analysis of 6.8 million citations across ChatGPT, Gemini, and Perplexity found that 86% of AI-generated answers rely on brand-managed content—from official websites and listings to reviews. First-party sites led with 44% of citations, followed by listings (42%) and reviews (8%). The findings suggest AI models increasingly trust structured, authoritative data over publisher or community sources. But fewer users click through—only 8% from AI summaries versus 15% from standard search—indicating that generative platforms are capturing more engagement directly. To stay discoverable, marketers must pair clean, structured first-party data with strong social visibility as AI search reshapes traffic flows.
GumGum’s CMO Kerel Cooper says contextual advertising has shifted from an education hurdle to a growth engine. In an EMARKETER interview at Advertising Week New York, he described how AI now interprets full-page or frame-by-frame context, allowing brands to reach audiences based on meaning rather than identity. As cookies fade, contextual ads offer privacy-safe precision and brand safety at scale. Cooper calls this “mindset marketing”—targeting users in the right headspace, not just the right demo. With the open web regaining advertiser trust and AI powering deeper relevance, contextual targeting is emerging as the foundation of a healthier ad ecosystem.
Most US consumers are already using digital tools for healthcare purposes, but three-quarters would prefer more personalized solutions, per a new Harris Poll sponsored by Verily. Healthcare marketers and brands need to use generative AI (genAI) tools, like remote monitoring, predictive analysis, and chatbots, to deliver personalized consumer experiences.
Hannah Elsakr, VP of new genAI business ventures at Adobe, framed AI-enabled tools not as a job disruptor but as “an exponential amplifier to our own humanity and creativity,” at LWT’s TechFutures 2025 in New York City this week. She outlined three frontiers reshaping brand storytelling: AI companions, personalized marketing at scale, and world-building around IP. Brands should prioritize scalable AI pilots, adopt commercially safe AI models, and lead internal change from the top. Provenance, licensing, and IP protection must be built in—not bolted on—if AI is to expand creativity without eroding trust.
AppLovin’s launch of Axon marks its transformation from mobile gaming to full-scale AI ad platform — and one of ad tech’s boldest pivots yet. The new Axon Ads Manager promises real-time AI bidding, Shopify integrations, and transparent attribution as the company positions itself as a performance-driven alternative to Meta and Google. The rollout comes as the SEC investigates AppLovin’s data practices, spotlighting the tension between AI-powered innovation and compliance. Marketers see opportunity — regulators see risk.
On today’s podcast episode, we discuss the moving target that is consumers’ perception of using AI in advertising, how marketers feel about the technology, and the share of ad buying that is likely to be delegated to AI. Join Senior Director of Podcasts and host, Marcus Johnson, Analyst, Marisa Jones, and Senior Analyst, Gadjo Sevilla. Listen everywhere and watch on YouTube and Spotify.