Horizon Media Holdings and Roku are expanding their media relationship into data and advertising technology, bringing Roku TV data into HorizonOS’ Blu marketing intelligence platform. The integration is designed to give advertisers richer viewing insights for CTV targeting, planning, measurement and cross-channel optimization.
Connected TV advertising has gained scale, but the fragmentation of streaming audiences has made it increasingly difficult for advertisers to understand where audiences are watching and how those exposures fit into broader media strategies.
Horizon Media and Roku are addressing part of that challenge by connecting Roku TV data directly to Blu, HorizonOS’ marketing intelligence platform.
The companies announced the expanded partnership on September 16, 2026. Roku’s TV data will become available within Blu, allowing Horizon and its advertising clients to incorporate viewing insights into cross-channel media planning, activation and optimization. The relationship represents an expansion beyond the companies’ existing media work into data and technology integration.
The practical significance is the movement of TV viewing intelligence closer to the tools used by media planners and buyers.
Horizon says the integration will provide advertisers with more granular information about audience exposure across channels, content and dayparts. That data can be used to inform audience matching and identify potentially valuable inventory before campaigns launch.
The companies also position the integration as a way to move beyond traditional panel-based TV measurement. Roku describes its platform as providing aggregated streaming audience and viewing data, while the partnership announcement says the data being integrated into Blu can provide device-level visibility into viewing patterns.
That distinction matters as CTV increasingly becomes part of cross-channel media strategies. Advertisers are not simply buying streaming video in isolation; they are trying to understand how CTV exposure interacts with other digital and traditional media channels.
Blu is intended to provide that broader planning and orchestration layer. Horizon says its existing agentic orchestration capabilities can use granular TV viewing signals to inform optimization decisions across channels.
The development therefore goes beyond a conventional data-feed integration. The companies describe it as part of a joint product roadmap involving Roku Data Cloud and HorizonOS, with additional planning, measurement and activation applications expected to be developed over time.
The market context is significant. The press release cites an eMarketer forecast projecting U.S. CTV advertising spending at $37.95 billion in 2026, with CTV viewership expected to reach 248 million viewers by 2027. Those figures illustrate the scale of the market the companies are targeting, although the estimates are forecasts rather than measurements of current performance.
Roku’s own advertising data also illustrates the scale of its viewing ecosystem. Its August 2026 audience-insights page says the Roku platform has more than 125 million U.S. daily active users, with its audience data used to analyze streaming behavior and campaign opportunities.
For advertisers, the integration could address several recurring CTV workflow problems: identifying audiences across fragmented viewing environments, planning inventory based on observed viewing behavior, and bringing measurement closer to campaign decision-making.
The measurement question will remain important. More granular platform data does not automatically produce cross-platform comparability, and advertisers still need consistent methodologies for deduplication, attribution, identity and incremental reach.
The rollout will therefore be phased. Data flow is already underway, with full integration into Blu planned for fall 2026. Horizon and Roku say the phased implementation is intended to address data quality, security and integration with existing Blu capabilities before broader client availability.
For the CTV advertising ecosystem, the partnership reflects a broader movement toward putting platform-level viewing signals directly into media-buying and planning infrastructure. As streaming becomes more fragmented, access to timely audience intelligence may become increasingly important—but so will the ability to make those signals interoperable across the wider advertising stack.
Market Landscape
CTV advertising is shifting from a relatively isolated video-buying channel toward a more integrated component of cross-channel media planning.
That transition creates a data challenge. Streaming platforms can generate detailed viewing signals, while agencies and advertisers need to combine those signals with audience data, campaign exposure and performance information across other channels.
Roku has been expanding its advertising data offering as that market develops. Its current audience-insights tools provide advertisers with aggregated information about streaming behavior, audience composition and content affinities.
Horizon and Roku are now putting those types of signals closer to the agency’s planning and optimization infrastructure. The objective is not simply to produce another CTV dashboard, but to incorporate TV viewing intelligence into broader media decision-making.
The development also reflects growing interest in real-time or near-real-time CTV optimization. As media platforms become more addressable, agencies increasingly need infrastructure that can translate viewing signals into actionable decisions while campaigns are active rather than relying exclusively on delayed or panel-based reporting.
Top Insights
- Roku TV data is being integrated into HorizonOS’ Blu platform, connecting streaming viewing intelligence with broader media planning and activation workflows.
- The integration is designed to improve CTV audience targeting, inventory planning and measurement using more granular viewing signals.
- Horizon says its agentic orchestration layer can use TV viewing data to inform optimization decisions across multiple advertising channels.
- Full Blu integration is planned for fall 2026 following an initial data-flow phase focused on quality, security and technical integration.
- The partnership illustrates the broader convergence of CTV data, programmatic activation and cross-channel media intelligence.
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