As streaming TV and digital video continue to grow, advertisers are facing a new challenge: maintaining brand suitability across an increasingly fragmented media landscape.
To address that complexity, DoubleVerify recently announced enhancements to its Automated Brand Suitability (ABS) solutions, including expanded automation capabilities designed to help marketers better manage where their ads appear across Connected TV (CTV) and online video environments.
One of the most notable updates is the introduction of automated “Do Not Air” list management within programmatic campaigns. Historically, content exclusion strategies often relied on manual processes and static spreadsheets that could be difficult to scale. The new approach allows advertisers to apply content exclusions directly within supported DSPs, helping ensure brand suitability standards are enforced more consistently and updated in real time.
For marketers, this represents a broader industry shift toward automation in media quality and governance. As inventory sources multiply and content environments become more diverse, scalable controls are becoming just as important as targeting and optimization.
The update also reflects a growing investment in AI-driven content classification, fraud prevention, and streaming-specific quality signals. While these enhancements come alongside increased pricing for video and streaming TV pre-bid solutions, the underlying goal is to improve campaign efficiency by reducing exposure to unsuitable content, minimizing invalid traffic, and helping advertisers avoid wasted media spend.
For healthcare marketers in particular, automated content controls can provide additional confidence that campaigns are appearing in environments aligned with brand standards and regulatory considerations. The ability to proactively exclude categories such as youth-focused or children’s programming at scale is especially valuable in highly regulated industries.
Key Takeaway
As programmatic video and streaming TV continue to evolve, brand suitability is moving beyond manual lists and reactive controls. The next phase will be defined by automated, AI-powered governance that helps advertisers protect their brands, improve media quality, and scale campaigns more efficiently across increasingly complex digital environments.
