In a sea of AI headlines promising revolution, it’s rare to hear from those actually in the trenches—turning algorithms into action. That’s what made this panel on the Innovation Stage at POSSIBLE stand out. “Beyond the Hype: Real-World Marketing AI Success Stories” brought together leaders from Horizon Media, Lily AI, ProRata, and Akkio to share what they’re actually building, scaling, and deploying in the field. The session was hosted by NDA’s Andy Oakes
From retail and media to data infrastructure and content monetization, the discussion surfaced four standout lessons for marketers using AI as a tool, not just a talking point.
Solving Real Problems
Purva Gupta, co-founder and CEO of Lily AI, summed it up best: “AI is the means—not the mission.” For the past decade, Gupta has been solving a problem that most consumers don’t even know exists: the language gap between how people shop and how retailers describe products.
As she explained, no one is searching for “midnight French terry athleisure.” They’re typing “navy hoodie” into Google. And when a brand’s product feed doesn’t reflect that, it leaves money on the table. Lily AI solves this issue by infusing consumer language directly into product metadata and feeds—making search platforms work better for both brands and shoppers.
The impact is measurable: brands like Hoka, Coach, and Macy’s are seeing 10–20% lifts in revenue from optimized search results. The lesson? Ground your AI strategy in solving human friction, not showcasing technical novelty.
The AI-Powered Agency
For all the hype around AI replacing jobs, the reality inside top agencies is far more nuanced. Domenic Venuto, Chief of Product & Data at Horizon Media, described how the agency is leveraging AI to empower employees, not remove them from the equation.
Horizon’s “Blu” platform sits on a vast bed of identity and behavioral data, using AI to surface insights, build audiences, and drive media decisions in seconds—tasks that used to take entire teams weeks to complete. That speed creates room for what Venuto called “curiosity-driven marketing”—the kind of iterative, inspired thinking that’s hard to do when you’re waiting days for a data pull.
“AI helps,” he said, “but humans still ask the right questions and interpret the answers.” The agency model is evolving, with AI as the engine and strategy as the steering wheel.
Rewriting the Playbook for Ads & Attribution
If AI is transforming agencies and retailers, it’s rewriting the rules of digital advertising altogether. Bill Gross—founder of Idealab and now ProRata—zoomed out to show the bigger picture, framing AI not just as a tool for better targeting, but as a force fundamentally reshaping how attention is monetized and who gets paid in the process.
Gross traced the evolution of search: from Yahoo’s directories, to AltaVista’s indexing, to the keyword auction model he helped pioneer with Goto.com (later licensed to Google). But today, Gross says we’ve entered a new era powered by generative AI and prompt-based search. The catch? Users are increasingly getting answers before they ever click, and that shift is decimating publisher traffic. “There were a trillion pageviews a day across the web last year,” Gross noted. “That’s now down to 750 billion—a 25% drop in just one year.”
ProRata sits at the intersection of two urgent needs: targeting ads in a world without keywords, and compensating the content creators whose work trains the AI behind it all. On one end, it uses large language models to deliver context-aware advertising based on full-text understanding, not just isolated keywords. On the other, it ensures those whose content powers the AI ecosystem actually share in the revenue it generates.
It’s part digital rights framework, part adtech rethink, responding to the new realities of search. As Gross put it: “This disruption is bigger than the printing press. And it has to be ROI-driven to be sustainable.”
Results Still Matter Most
Speed is one of AI’s biggest superpowers, but only when it delivers substance. That was the theme from Jon Reilly, founder & CEO of Akkio, who explained how his team uses large language models to automate complex marketing workflows like audience segmentation and reporting.
Previously, these processes required deep data access, engineering support, and weeks of effort. Today, they can be executed in minutes. That speed unlocks not just productivity, but creativity—giving marketers the space to explore new ideas, test faster, and iterate more often.
Still, Reilly cautioned against mistaking speed for value. “It’s easy to spin up a flashy demo,” he said. “But proving that your AI actually delivers value—that’s what cuts through the noise.”
These four perspectives may come from different corners of the industry, but they converge on a shared stance: AI’s value lies not in its novelty, but in its utility. The real differentiator isn’t access to AI, but how it’s applied to solve real problems. In an industry full of bold claims and buzzwords, this panel served as a timely reminder that results—not rhetoric—will win out.
