Observed Signal · Jul 14, 2026 · Partnership · Source: Digiday · Impact: 3/5 · Sentiment: Positive
Agencies Experiment with Vector-Based Targeting
Media agencies and adtech vendors are piloting vector-based targeting — a technique that encodes multiple audience signals into numeric "vector embeddings" to find and activate audiences across streaming, CTV and digital inventory. Major holding groups such as WPP and Dentsu are testing early-stage solutions and partnering with specialist vendors (Chalice, Equativ) and SSPs/publishers. Amazon offers a similar first-party targeting tool (Brand+) and publishers/SSPs and adtech vendors say vectors could improve cross-platform targeting where deterministic signals are scarce. The approach is seen as promising but nascent, with concerns about explainability, standardization and operational complexity.
Major agency groups and adtech vendors are piloting a new audience-targeting method that could improve cross-platform streaming/CTV targeting, but the approach remains nascent and experimental.
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Key Takeaways & Evidence Grounding
- WPP has been running early-stage vector-based targeting solutions in key markets including the U.S., and began developing those solutions two years ago.
- Dentsu planners using Dentsu Media Exchange (DMX) have been testing vector-based targeting for about a year across online video, streaming and digital display.
- Amazon offers a targeting tool called Brand+ (available globally since January) that uses first-party data and AI to identify audiences; advertisers reportedly see a 71% rise in visits to product detail pages, per an Amazon spokesperson.
- Chalice is working with several agencies to create vector embeddings and deliver them to SSPs or publishers; Equativ and other adtech vendors are also involved in developing practices around vectors.
- FreeWheel (Comcast-owned) and other media companies describe their vector-based solutions as experimental and are planning larger implementations in the future.
Connected Companies & Entities
8 Entities mapped“For some media agency executives, it’s the “future of targeting.” Others say it’s a theory that will only get you so far. Though the case st...”
“Though the case studies remain unwritten, agencies like WPP are already running early-stage vector-based targeting solutions in key markets,...”
“Amazon, for example, forgoes the vector-based terminology but offers a targeting tool called “Brand+” that provides similar capabilities. Th...”
“That’s where vector embeddings could allow advertisers to target more consistently across multiple streaming platforms and CTV providers, no...”
““This is very likely the future of where targeting could go,” said David Dworin, chief product officer at Comcast-owned FreeWheel. The compa...”
““This is very likely the future of where targeting could go,” said David Dworin, chief product officer at Comcast-owned FreeWheel....”
“The AI company is working with several agencies to create the vector embeddings that compress audience targeting data into a usable packet, ...”
““Vector-based targeting is definitely intriguing, and you can see the usefulness in the precision it provides,” said Jason Hartley, head of ...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Vector-Based Ad Targeting Explained
This Digiday WTF explainer describes vector-based ad targeting: a method that converts content, creatives and audience data into high-dimensional numerical vectors (embeddings) so proximity in vector space can be used for targeting, lookalikes, exclusions and predictive trajectories. The piece explains how vectors are created by embedding models from companies such as Google and OpenAI, stored in vector databases, and can be queried or linked to traditional database records. Industry voices cited include Jon Morra of Zefr and Travis Clinger of LiveRamp. LiveRamp’s User Context Protocol — donated to IAB Tech Lab and renamed Agentic Audiences — is presented as an effort to standardize exchange of vector embeddings for AI agents in advertising.
Future of Programmatic: Embracing Signal-Based Targeting
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Contextual Targeting: The Future of Privacy-First Video Ads
The article analyzes the rising relevance of Contextual Targeting in video advertising as identifiers become scarce, featuring insights from five industry experts ahead of the ADZINE CONNECT VIDEO event. It explains how AI-driven approaches now analyze video frame-by-frame to map relevance at semantic and psychological levels, enabling targeting without personal data. Johannes Paysen of Seedtag introduces Neuro-Contextual Advertising, using embeddings to convert content into semantic vectors across publisher networks. Jens Depenau of WPP Media emphasizes that advanced AI can assess mood, topics, spoken words, and tonal cues for deeper, privacy-friendly targeting beyond keyword matching. Sascha Dolling of Mediaplus and Carsten Sander of BCN discuss standardization challenges (IAB taxonomy, OVK-Contextual-Standard), real-time analysis hurdles for live content, and the role of contextual targeting as a strategic, privacy-first component of the media planning mix. The piece frames contextual targeting as a growing, complementary paradigm with measurable brand impact, not merely a post-cookie workaround.
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