StackAdapt has moved its demand-side platform away from the dashboard entirely. The company’s new Ivy Studio puts planning, audience discovery, campaign forecasting, and performance analysis inside one conversational workspace built on its existing Ivy AI engine. Instead of navigating separate report screens, a media buyer describes a goal, and Ivy Studio’s agents pull live campaign, audience, and creative context to recommend the next move, from surfacing a high-value audience segment to flagging which creative is dragging down a campaign’s performance.
The timing matters more than the feature list. DSPs have spent the past two years adding AI-assisted recommendations on top of dashboards that still required manual navigation between screens. Ivy Studio is StackAdapt betting that the dashboard itself, not just the recommendations sitting on it, is the thing advertisers are ready to abandon. That is the same wager other marketing platforms are making around AI agents: the interface marketers actually touch is shifting from a grid of menus to a conversation.
The angle competitors will feel first is consolidation, not novelty. If a natural-language layer can already discover audiences, forecast a campaign, and diagnose underperformance without a buyer ever opening a separate reporting tool, the dashboard stops being the product and becomes plumbing underneath it. That is a harder position for any DSP to defend than a features race, because the competition moves from “whose reports are better” to “whose agent do buyers trust enough to act on without checking the underlying numbers,” a trust threshold few platforms, StackAdapt included, have proven at scale yet. It also puts DSPs in the same race agencies are already running on the curation side of ad tech, each layer of the stack trying to own the single interface a buyer actually uses.
Source: StackAdapt
