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Préférences
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Agencies & Brands

Use Cases

Plan in moments. Prove the outcomes.

Agencies and brands are being asked to plan media with sharper context, compete with fragmented attention, and prove brand outcomes with content and creative level insights. The conversation is shifting from how to reach people to how to know you are reaching the right people, with the right message, in the right mindset. The same multimodal platform that turns publisher content into structured signal turns creative assets, contextual environments, and on-screen brand presence into the inputs planning, creative, and measurement teams need.

Creative Intelligence

Creative analysis is still mostly manual or limited to surface-level metadata like format, length, and tagged keywords. That leaves creative teams, planners, and analytics groups without a way to answer the question that matters most: why some creatives perform and others do not. Coactive applies the same multi-dimensional tagging used on premium publisher content to creative assets, generating moment-level metadata about what creatives actually depict, who appears in them, and what tone they carry — unconstrained by taxonomy. Joined with exposure, attention, and outcome data, that metadata becomes the foundation for understanding creative performance.

Proof: A leading digital agency replaced their legacy creative intelligence model with Coactive, increasing precision from 59% → 95%, 5 hrs saved per run, and a net-new library of 100s of new custom tag concepts.

Content Understanding
Content Analytics
Coactive Multimodal AI Platform

Measurement & Attribution

Outcome measurement still largely treats exposure as binary: the ad was served and viewable, or it was not. That misses where the exposure happened inside the content, what was on screen at the moment of exposure, and whether the surrounding content was emotionally aligned with the creative. That alignment is measurable and it moves outcomes: in one premium streaming campaign, 14% more viewers agreed the surrounding content enhanced the brand's message. It also opens a question the buy side has never been able to answer systematically: why an ad creative performed well or did not. Creative performance has historically been a black box. By joining Coactive's moment-level metadata on both the content and the creative with measurement and outcome data, marketers can begin building a library of creative contextual attributes tied to performance, an asset that compounds with every campaign and turns creative learning from anecdote into evidence.

Content Analytics
Coactive Multimodal AI Platform

Contextual Planning & Activation

Buyers brief in moments, moods, and narratives. The planning layer has historically answered in genres, titles, and dayparts, with meaning stripped away at every translation step between the brief and the buy. Coactive closes that gap: advertiser intent, expressed in natural language, carries all the way through to moment-level inventory that can be validated, packaged, and activated through direct deals or DSP and SSP integrations. What gets briefed is what gets bought.

Proof: A luxury brand activating moment-level contextual placements on premium streaming saw a 59% lift in brand perception, 27% higher enjoyment of the creative, and a 10% lift in unaided brand awareness.

Context Studio
Contextual Advertising Solutions
NBCU Case Study
Brand Suitability

Category-level brand safety vendors apply one-size-fits-all suitability thresholds that frequently fail to match advertiser-specific brand standards, leaving brands either over-blocking premium inventory or running adjacent to content they would not have chosen. Coactive applies suitability classification at the moment level, with custom suitability taxonomies defined through Dynamic Tags so that brand-specific and category-specific thresholds can be enforced consistently across the inventory a brand is buying.

Moderation & Brand Safety
Dynamic Tags
Audience Strategy

Identity-based audience targeting continues to erode under privacy regulation, signal loss, and walled-garden fragmentation, and independent research has repeatedly shown third-party audience segments performing far below their promise, in some cases no better than random selection. Brands and agencies need durable signals that do not depend on a data supply chain, do not expire with a deleted cookie or an opt-out, and do not require knowing who someone is to understand what they care about. Coactive's content-level metadata, combined with publisher first-party audience data, builds interest and intent-based audience segments grounded in what consumers actually watched and engaged with.

Audience Targeting
Content Understanding
Sponsorship & Brand Integration Analysis

Sponsorship deals, product placements, and brand integrations represent significant spend with surprisingly little infrastructure behind them, on either side of the deal. Before the deal, brands and the agencies that broker them lack systematic ways to find the content and creators that naturally align with a campaign or a brand's identity. After it, they lack reliable measurement of on-screen presence, moment-level visibility, and share of voice across a season or programming block. Coactive's moment-level understanding of content makes both sides addressable: identifying where a brand authentically fits before money moves, and quantifying organic and paid brand exposure once it does.

Content Analytics
Content Understanding
“Before Coactive, our contextual targeting was constrained by rigid taxonomies. Now, we can identify and activate custom moments across NBCU’s vast content portfolio - unlocking deeper brand alignment opportunities for clients. This flexibility has enabled new use cases and has delivered advanced contextual capabilities we’ve been working toward for some time.”
testimonial person photo
Maddie Covino
Director, Product Management at NBCUniversal
No workflow disruption
Context Studio fits easily into your existing ad sales and ad ops workflows, no spreadsheets, no extra manual steps. It enhances current workflows rather than forcing teams to change how they sell or activate campaigns. Built to work alongside forecasting tools, ad servers, and existing tagging systems, contextual packages can be exported directly into FreeWheel or GAM.
Read the NBCU case study