EX.CO is expanding its machine-learning-based yield engine from web publishing to the CTV and digital out-of-home markets. The company aims to help CTV publishers optimize programmatic revenue through automated auction management rather than relying solely on manual sales teams.
Automating the bid stream addresses a critical scalability bottleneck for mid-market CTV publishers who cannot rely solely on expanding manual sales departments. By applying mature web-based auction dynamics to the fragmented CTV space, technology providers are attempting to bridge the gap between high-value inventory and underdeveloped programmatic infrastructure. This shift signals a transition where CTV inventory management moves from static direct deals toward the high-velocity, data-driven environments seen in the open web. Watch for whether beta partners report the projected 30% to 50% revenue lift over the next two years as programmatic maturity accelerates.
As performance TV advertising budgets continue to surge, publishers are increasingly seeking automated yield management tools to capture demand without ballooning operational overhead. As programmatic adoption reaches 75 percent, these tools become essential for maintaining competitive pricing. For publishers looking to benchmark their current infrastructure, programmatic monetization maturity is becoming a key performance indicator. As inventory volumes surge, these automated systems will be critical for publishers to maintain yield. To further optimize these environments, publishers are also exploring scene-level targeting for programmatic CTV.
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