Gracenote and Tubi Media Group are expanding their partnership around two of streaming’s increasingly connected priorities: helping viewers find content more effectively and giving advertisers stronger contextual signals for connected TV campaigns.
The new agreement will bring Gracenote’s content intelligence capabilities to Tubi Media Group properties, including Tubi and FOX One. The companies also plan to test Gracenote identifiers within programmatic advertising bid streams, potentially giving advertisers another way to understand the content environment surrounding an ad impression without relying exclusively on traditional audience-targeting approaches.
For the rapidly evolving CTV advertising ecosystem, the move highlights a broader shift toward content-level intelligence. As streaming inventories become more fragmented across platforms and services, advertisers need signals that explain not only who is watching but also what they are watching.
Gracenote Adds a Content Intelligence Layer to Streaming
Gracenote, the content intelligence business of Nielsen, provides structured data designed to make entertainment content easier for platforms, advertisers, and consumers to understand and organize.
Its content intelligence includes unique identifiers, human-verified program metadata, imagery, and standardized taxonomies. In practical terms, this data can help streaming services identify programs consistently, categorize them, and connect descriptive information across different content experiences.
Under the agreement, Tubi Media Group will use these capabilities to improve content search and discovery. The companies say the technology can support recommendations and responses to natural-language queries with information that is intended to be timely, accurate, and relevant.
That matters as streaming interfaces move beyond traditional menus and genre filters. Natural-language discovery allows viewers to express intent more conversationally—for example, searching for a specific type of movie, theme, actor, or viewing experience rather than navigating a predefined content hierarchy.
For platforms such as Tubi and FOX One, better metadata can become an important part of making large libraries feel easier to navigate.
Programmatic CTV Gets a New Contextual Signal
The advertising side of the agreement could prove more consequential for AdTech.
Tubi Media Group will test Gracenote IDs in programmatic bid streams to improve contextually relevant advertising. The experiment puts content identification closer to the point where automated advertising decisions are made.
Programmatic CTV already uses a combination of device, household, behavioral, contextual, and other signals to determine which advertisements should be served. But contextual intelligence can offer a different dimension: understanding the content surrounding an ad rather than depending primarily on information about the viewer.
That distinction is becoming more important as the advertising industry deals with privacy restrictions, identity fragmentation, and increasing pressure to reduce reliance on individual-level tracking.
A standardized content identifier can potentially help buyers and sellers communicate about the programming environment more consistently. If a bid request can carry meaningful information about the content associated with an impression, advertisers could make more informed contextual decisions about where their campaigns appear.
The test does not mean Gracenote IDs will automatically become a universal CTV advertising standard. It does, however, point toward a broader industry effort to make contextual data more actionable within programmatic infrastructure.
Why Content Metadata Matters for CTV Advertising
CTV advertising has inherited some of the complexity of both television and digital advertising.
The medium offers the scale and targeting possibilities associated with digital media, while retaining the premium video environment and content-centric nature of traditional television. Yet streaming fragmentation means advertisers can encounter different taxonomies, identifiers, metadata structures, and measurement approaches across platforms.
That creates a data interoperability problem.
A standardized content taxonomy can help bridge some of those gaps. Gracenote’s role is particularly relevant because its data can provide structured descriptions of entertainment content rather than simply identifying an individual user or device.
For advertisers, that opens the door to contextual strategies based on content categories, themes, genres, and other characteristics.
The approach also fits with a larger evolution in digital advertising. As privacy becomes a central design constraint, the industry is increasingly exploring alternatives that can deliver relevance without requiring every advertising decision to be based on granular user profiles.
Companies across the advertising ecosystem—from Google and Amazon to major DSPs, SSPs, and retail media platforms—are developing different approaches to contextual targeting, identity, measurement, and first-party data. CTV is emerging as one of the most competitive arenas for these technologies.
Tubi’s Expanding Role in the CTV Ecosystem
Tubi Media Group’s partnership with Gracenote comes as streaming platforms increasingly operate as advertising businesses as well as entertainment destinations.
Tubi has built a significant position in ad-supported streaming, while FOX One expands Fox’s direct-to-consumer streaming proposition. The combination creates a broader environment in which content discovery and advertising infrastructure need to work together.
Paul Cheesbrough, CEO of Tubi Media Group, said the renewed relationship reflects the company’s focus on innovation for consumers and advertisers as its streaming portfolio expands.
Jared Grusd, CEO of Gracenote, positioned the partnership around the value of curated and human-verified content data as streaming and advertising become increasingly data-driven.
The strategic importance is less about adding another metadata feed and more about connecting content intelligence to two sides of the streaming experience: discovery for audiences and contextual relevance for advertisers.
For enterprise media teams, that convergence could eventually make content data a more important component of CTV planning. Instead of treating programming information as descriptive metadata used only by recommendation engines, advertisers and platforms can potentially treat it as a signal within the media buying process itself.
Market Landscape
CTV is moving toward a more sophisticated advertising model in which content intelligence, audience signals, identity, measurement, and programmatic infrastructure increasingly intersect.
The industry is also confronting a fundamental tension. Advertisers want campaigns to be relevant and measurable, while consumers, regulators, and platforms are placing greater limits on how personal data can be collected and activated.
Contextual advertising offers one possible answer.
The Gracenote-Tubi Media Group agreement illustrates how content-level data could become part of that transition. Rather than asking only who is watching?, CTV platforms and advertisers can also ask what is being watched, what is it about, and what advertising environment does it create?
That could be particularly valuable for premium video, where the editorial environment can influence brand suitability, relevance, and campaign performance.
For Tubi Media Group, the partnership strengthens the underlying data infrastructure supporting both discovery and advertising. For Gracenote, it provides another opportunity to position content intelligence as a connective layer between entertainment experiences and programmatic media buying.
The next test will be whether those signals can translate into measurable improvements in campaign relevance, efficiency, and outcomes at scale.
Top Insights
- Gracenote will provide Tubi Media Group with content intelligence designed to improve search, recommendations, natural-language discovery, and streaming content organization.
- Tubi Media Group plans to test Gracenote IDs in programmatic bid streams, potentially giving CTV advertisers stronger content-level contextual signals.
- The partnership reflects growing interest in contextual advertising as privacy restrictions and fragmented identity ecosystems reshape programmatic media buying.
- Standardized content metadata could help advertisers understand programming environments more consistently across increasingly fragmented CTV inventory and streaming platforms.
- Enterprise media teams may increasingly combine audience, content, identity, and contextual signals when planning measurable CTV advertising campaigns.
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