Connected TV demand is strong, budgets are growing and premium inventory continues to command attention. Yet, for publishers, the growth of CTV has complicated how deals get done.
Thatโs because CTV never fit cleanly into campaign execution models built for RTB-based trading. Programmatic trading introduced efficiency for commoditized inventory, but CTV has always been defined by specificity.ย
Premium placements, content adjacency, sponsorships, audience access and guaranteed delivery are core to how value is created for CTV advertisers. But supporting those structures has required significant coordination across disparate systems.
The limits of that model are now apparent. Each additional layer of customization adds friction. Each manual handoff introduces delay and risk. As deal volume and complexity increase, coordination becomes the dominant constraint on growth. Left unresolved, it translates directly into unrealized revenue.
This shift is part of a broader move toward what can be described as agentic advertising, where AI-driven agents execute and optimize transactions across the advertising life cycle. Now, agentic trading is introducing a different operational layer at a moment when incremental fixes, including updates to RTB protocols, are no longer sufficient. Whether agentic solutions can simplify the complicated CTV landscape for publishers will be their first real test case.
Where CTV execution breaks down
As CTV inventory expands, the operational work required to sell it has grown with it. Each campaign combines custom packaging, negotiated pricing (including upfront deals with large TV publishers), creative requirements, delivery guarantees and advertiser-specific measurement expectations. Every deal spans multiple systems that were never designed to operate as a single workflow.
The burden falls on ad operations teams. As volume increases, publishers face familiar trade-offs: prioritizing only the largest…