The Next Chapter of CTV Targeting Is Making Context Actionable
The most useful information about a CTV impression may be what happens right before the ad appears. A viewer might be watching a sports recap, cooking show, or a sitcom, but the program title only tells you so much. What’s happening on screen the moments leading up to an ad break tells a bigger story in terms of the tone, consumer mindset, and content-brand alignment. Technology can now pick up on those details in real time. The bigger question is how to best put that intelligence to work across the scale of CTV.
It all comes down to bringing together the right intelligence, inventory, and technology simultaneously. Scene-level technology can analyze what's happening on screen in real time, while other solutions can provide signals around objects, suitability, media quality, and more. DSPs have invested in many of these capabilities, but they still need scaled signal-enriched CTV supply to make those investments meaningful in practice.
This is where fragmentation becomes problematic. Data providers, publishers, exchanges, and buying platforms each bring value to the ecosystem – however, interoperability and lack of standardization prove to be a mounting challenge for programmatic buyers.
Consider what happens when an ad request is sent from each party – a content owner, streaming platform, and the OEM – for the same ad break. In many scenarios, the only consistent signal a buyer receives is that there is an ad slot available. For various reasons, basic information about the content in an auction environment remains either void or non-standardized. Without greater transparency and standardization of these signals, buyers are left with an incomplete picture of the content they’re buying, limiting their ability to target ads with precision and contextual relevance. A direct source of signal-rich inventory can help bridge that gap, allowing buyers a way to extend the reach and value of contextual capabilities they have already invested in, without having to solve for scale across a collection of disconnected supply sources.
With scene-level analysis, content intelligence not only exists, it’s available at scale. Real-time bid request enrichment occurs pre-auction, supporting multiple contextual taxonomies. Buyers can have a much deeper understanding of where their ad would be served, and publishers can feel more confidence around privacy regulations.
This also changes how marketers can think about an individual impression. Audience data can tell a buyer who may see an ad, while contextual information can provide a better understanding of what that person is watching when the ad appears. Taken together, those signals give advertisers more information to consider when deciding where a message makes sense. Genre, sentiment, suitability, and other contextual characteristics such as object recognition are all part of the growing list of capabilities.
For performance-focused marketers, there is evidence that richer content signals can improve advertising outcomes. Research found that aligning ads with the emotional context of a scene drove a 2.4x increase in attention. More granular contextual targeting has also played out in campaigns with brands and agencies, showing how content signals can complement traditional audience-based approaches.
The opportunity now is to connect sophisticated intelligence that already exists to the inventory and infrastructure needed to make it actionable at scale. That will determine whether contextual intelligence becomes another useful data point buyers can consistently use in the CTV buying process.
As our ecosystem evolves to better orchestrate these various puzzle pieces, advertisers will get a clearer view of the content surrounding their ad impression and feel better informed in how they align their marketing messages with the moments that matter.
[Editor's note: This is a contributed article from Wurl. Streaming Media accepts vendor bylines based solely on their value to our readers.]
Related Articles
On Tuesday, Nov. 10, Globo's Ana Beaklini, Fuse Media's Yasmin Mitchell, and Broadpeak's Julien Boyreau will join Chris Pfaff for the Streaming Media Connect panel "Stream, Click, Convert: Delivering Performance-Driven CTV Ad Experiences." Connected TV is evolving beyond brand awareness into a measurable, performance-driven channel at the lean-back, living-room epicenter of the entertainment ecosystem. But delivering measurable ad experiences that result in conversions rather than enhanced brand awareness requires rethinking creative, targeting, and attribution actions for the streaming environment. This session breaks down performance advertising strategies and technologies that turn CTV impressions into trackable, revenue-generating outcomes that fuse first- and second-screen engagement into streaming-driven sales.
23 Oct 2026
On September 15, cloud-based FAST and CTV monetization platform Wurl launched its new content intelligence platform, an "enrichment enablement solution" designed to allow demand-side platforms (DSPs) to scale advanced targeting across CTV and directly connect streaming content intelligence with programmatic demand. To get more context on the platform's introduction and how it's likely to impact CTV's programmatic landscape, we reached out to Wurl Vice President, Advertising Partnerships Ria Madrid, for this Q&A.
01 Oct 2026
A Q&A with Ron Gutman, CEO of Wurl, about their Gen AI-powered technology that matches CTV ads to the emotion and context of what viewers are watching using Plutchik's Wheel of Emotions. This technology has identified the emotions that make up the "Holiday Spirit" and found that the key emotions are "trust and joy."
26 Nov 2024
A Q&A with Ria Madrid of Wurl - she discusses BrandDiscovery, their new tech that makes it possible for marketers to precisely match CTV ads with the emotion and context of what viewers are watching to create positive attention, using Plutchik's Wheel of Emotions. Partners like Media.Monks are already driving impressive results for their clients through Wurl's solution, which uses scene-level contextual targeting to help advertisers align the emotional sentiment of their campaign creatives with content closest to the ad break.
01 Jul 2024