Starling has launched a supply-side platform (SSP) that enables advertisers to purchase CTV inventory based on show-level content signals. The startup utilizes data modeling and clean rooms to address transparency gaps and navigate privacy regulations like the VPPA.
The arrival of Starling signals a shift toward bringing linear-style transparency to programmatic streaming environments. By solving the technical and legal hurdles of the VPPA through modeling, the platform allows buyers to move away from blind rotation toward specific content environments. This move pressures larger incumbents like Amazon and Spectrum Reach to further open their own program-level data to remain competitive in the premium PMP market. As advertisers demand more granular control over where their ads appear, the success of this model will depend on whether Starling can scale its modeling methodology without triggering further regulatory scrutiny. Watch for the company to disclose its specific data modeling partners to validate its privacy-safe claims.
The industry is seeing a surge in programmatic privacy infrastructure as platforms look to balance granular targeting with compliance.
Starling has launched a new CTV supply-side platform designed to provide advertisers with show-level content signals, including genre and specific titles. By using data clean rooms and audience modeling, the platform enables programmatic buyers to target specific content environments while navigating Video Privacy Protection Act restrictions and maintaining privacy compliance.
The platform aims to provide programmatic buyers with show-level transparency, allowing them to move away from blind ad rotation toward specific content environments.
Starling uses data clean rooms, audience modeling, and obfuscation techniques to navigate Video Privacy Protection Act restrictions while keeping personally identifiable information hidden from buyers.
Publisher partners utilizing the platform include AMC, Paramount, TelevisaUnivision, and Telly.
It signals a shift toward bringing linear-style transparency to programmatic streaming, pressuring larger incumbents to open their own program-level data to remain competitive.
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