AI is making its next big move into adtech—and StackAdapt wants a front-row seat.
This week, the programmatic advertising platform launched Ivy, an in-platform AI assistant aimed at helping marketers cut through the clutter of campaign management. The tool is designed to accelerate decision-making across the entire campaign lifecycle, from planning to optimization, without having to sift through layers of analytics dashboards.
What Ivy Actually Does
Think of Ivy as an always-on AI strategist that lives inside StackAdapt’s platform. Using natural language prompts, marketers can ask Ivy anything from “What’s the recommended CPM for CTV in Q3?” to “How did my last native campaign perform against goal KPIs?” The assistant instantly surfaces data, recommends targeting strategies, and even helps with campaign setup—no manual digging required.
And it’s already being put to work. In just the 30 days before launch, Ivy fielded over 1,700 user queries. Most revolved around real-world campaign needs—ad specs, performance recommendations, and cost metrics—proving it’s not just another AI gimmick.
Who Benefits—and How
Whether you’re running high-intent B2B lead gen or fine-tuning a retail push ahead of Black Friday, Ivy is built to plug into your workflow. Travel marketers, for instance, can surface trending destinations and audience data with a simple query. Meanwhile, retail teams get real-time performance alerts and seasonal targeting insights on demand.
The real kicker? Ivy is vertical-agnostic. It doesn’t matter whether you’re optimizing for CTV, DOOH, or native—the assistant’s intelligence scales with your goals.
How It Compares
AI features in marketing platforms aren’t exactly new—Google Ads and Meta’s Advantage+ have offered machine-assisted targeting for a while now. But StackAdapt’s move to embed a conversational AI directly into every stage of campaign activation is a step toward more agentic AI—tools that don’t just automate tasks but proactively support decision-making.
“We’ve built our platform on advanced AI, and now Ivy puts that power directly into the hands of our clients,” said Yang Han, Co-founder and CTO at StackAdapt. It’s part of what he describes as a roadmap toward reducing martech-adtech fragmentation and delivering “outcomes, not just outputs.”
Why It Matters
As marketers grapple with data sprawl and the need for faster, smarter campaign execution, Ivy positions StackAdapt as a serious contender in the push for intelligent automation. Unlike AI tools that simply optimize one part of a campaign, Ivy functions more like a co-pilot—balancing insight, guidance, and usability in a single interface.
And while plenty of platforms tout AI as a feature, StackAdapt is aiming for something bigger: making it a foundation. That’s not just a feature update—it’s a shift in how programmatic media could be managed in the years ahead.
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