Connected TV (CTV) advertisers may be buying streaming inventory without reliable information about the programs and content surrounding their ads, according to a new report from streaming technology company Wurl. An analysis of CTV advertising bidstream metadata found that 89% of ad requests lacked a usable program name, while 15% contained little or no genre information.
The findings, published in The CTV Trends Report: Addressing the Content Signal Gap, highlight a data-quality problem for programmatic streaming advertising. As advertisers shift more attention toward ad-supported streaming services, the ability to identify what viewers are watching—and whether that content suits a campaign—becomes increasingly important for targeting, brand suitability and media evaluation.
Wurl’s report also found thousands of different genre labels appearing within a two-hour period. Such variation suggests that buyers may encounter inconsistent content classifications across streaming inventory. Even when metadata is present, Wurl says the supplied genre information does not always accurately represent what is on screen.
These limitations can make it harder for advertisers and agencies to compare inventory, apply contextual targeting consistently and understand the environments in which their ads appear.
Why CTV content signals matter
Programmatic CTV advertising relies on data exchanged during automated ad transactions. Bidstream metadata can include information about the publisher, channel, program and genre, helping demand-side platforms (DSPs) evaluate available impressions before bidding.
When these fields are missing or inconsistent, buyers have less information with which to distinguish relevant content from unsuitable or less valuable inventory. Advertisers may still be able to buy impressions using other signals, but incomplete program-level data can constrain content-specific targeting and reporting.
The problem also affects publishers and streaming distributors. Better metadata can help them communicate the nature of their inventory to advertisers and support more differentiated advertising opportunities. However, the commercial benefit depends on buyers trusting the signals and being able to use them within their existing programmatic workflows.
Wurl’s report arrives as streaming consumption continues to grow. The company says daily viewing hours increased nearly 12% year over year during the first eight months of 2026. It also cites eMarketer estimates suggesting that CTV accounts for approximately 20% of adults’ media time but receives less than 10% of advertising budgets. Those figures provide context for the company’s argument, although the supplied announcement does not identify the underlying eMarketer report or methodology.
Wurl connects contextual data with streaming inventory
Wurl is positioning its Content Intelligence Platform as one response to the metadata problem. Launched in September 2026, the platform combines streaming content access with data partners’ capabilities to add contextual signals to the programmatic bidstream.
Beyond conventional program and genre information, these signals can include scene-level emotions, object recognition and brand suitability. The company says the platform gives DSPs access to more than 140 billion signal-rich CTV impressions each month across the majority of ad-supported streaming.
These capabilities could help advertisers evaluate content at a more granular level than broad genre classifications alone. For example, scene-level information may offer additional context for deciding whether an ad should appear alongside a particular moment in a program.
The reported impression volume, however, is a company-provided figure. The announcement does not independently establish signal accuracy, coverage across individual streaming services or the incremental campaign performance advertisers might achieve.
Market Landscape
The broader CTV advertising market is working to improve transparency as automated buying becomes more sophisticated. The IAB Tech Lab’s CTV Programmatic Guide identifies content taxonomy, inventory identification, measurement and brand suitability as important parts of the programmatic CTV ecosystem. Its guidance also addresses the difficulty created when sellers use inconsistent free-text genre labels in bid requests. IAB Tech Lab
Wurl’s findings illustrate that challenge in practice. Its full report says 45% of analyzed ad requests lacked a usable channel name and more than 3,600 genre labels appeared within a two-hour window. It also found that 35% of the inventory assessed for genre accuracy had declared classifications that did not match the content Wurl detected. These are findings from Wurl’s analysis, not an independent census of all CTV inventory. Wurl
The industry challenge is therefore not simply collecting more data. It is ensuring that content information is standardized, accurately matched to the relevant ad opportunity and passed through the supply chain in a form that buyers can use.
Strategic Outlook
- For advertisers and agencies: Richer contextual signals could support more precise placement decisions, including suitability controls beyond broad program genres. Buyers should still validate how signals are generated and how consistently they cover inventory.
- For publishers and streaming platforms: More accurate metadata could help demonstrate inventory quality and differentiate content environments. Implementing consistent metadata also requires coordination across distributors, ad servers and supply partners.
- For DSPs: The commercial value of contextual intelligence depends on whether signals arrive in time for bidding and work with existing targeting and reporting systems.
- For measurement providers: More granular content data could support deeper analysis of the relationship between programming context and campaign outcomes. It does not, by itself, establish causation or prove incremental advertising effectiveness.
- For the wider CTV market: Wurl’s platform could reduce the integration work required to make contextual signals available across streaming inventory. Its reach and effectiveness will need to be evaluated independently of the company’s stated impression volume.
The key issue is whether better content information becomes consistently available across the buying ecosystem. More sophisticated contextual tools can help advertisers make informed decisions, but their impact depends on data accuracy, interoperability and measurable campaign results.
Top Insights
- Program-level visibility remains a problem: Wurl found that 89% of analyzed CTV ad requests lacked a usable program name.
- Genre labels are inconsistent: Thousands of classifications can complicate targeting and reporting across streaming supply.
- Contextual targeting is becoming more granular: Scene-level signals offer additional information beyond conventional program and genre labels.
- Scale depends on interoperability: Content intelligence must be matched to inventory and delivered through the programmatic buying workflow.
- Performance claims need validation: Signal availability does not automatically translate into better campaign outcomes.
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