Hearst Television partners with Publica for programmatic CTV ad optimization

This partnership signals a critical bridge between linear television and programmatic streaming, allowing legacy broadcasters to offer the same brand safety and structural controls found in traditional broadcast within a digital environment. By adopting unified auctions and advanced pod management, Hearst can capture higher premiums for high-intent slots like the first position in a break. For the broader ecosystem, it highlights the shift toward demand-agnostic ad servers that prioritize publisher yield over specific network preferences. Watch for Hearst’s 'Very Local' app metrics to see if these improvements in ad frequency and quality lead to longer session durations and reduced churn in its regional FAST channels.

Publica, owned by Integral Ad Science, has built a substantial publisher base in the CTV ad-serving category. The platform serves over 5 billion ads on CTV every month for publishers including Crunchyroll, E.W. Scripps, Fox, and Samsung, positioning it as one of the larger demand-agnostic ad servers in the connected TV space. The Hearst Television agreement extends that footprint into local broadcast streaming, where Hearst's Very Local app and 70-plus video channels give Publica inventory across 26 media markets and 22 million U.S. television households.

On the standards side, Publica has worked with the IAB Tech Lab on protocols that underpin secure server-side ad insertion. For Hearst Television, adopting these protocols means its programmatic CTV inventory carries the same chain-of-custody guarantees that national broadcasters increasingly require from their ad-tech partners.

TV Technology covered the announcement, noting that the agreement will help Hearst Television enhance its streamed content with a traditional TV-like viewing experience while maximizing CTV advertising revenue. The deal places Hearst alongside other major broadcasters that have adopted unified-auction architectures to consolidate demand from multiple SSPs into a single decisioning layer, a model that reduces latency and gives publishers direct control over pod composition rather than delegating yield decisions to individual exchanges.