Cadent Launches Predictive Audience Builder, Giving Marketers Direct Control Over Data Signals, a new self‑service platform that lets advertisers assemble audiences from individual data signals instead of pre‑bundled segments, promising higher reach on the open web and tighter cost control.
What Cadent unveiled
New York, May 27 2026 – Cadent, a leader in predictive advertising, announced the rollout of Predictive Audience Builder, a SaaS‑based tool that places granular data signals—such as geographic visitation, publisher visits, keyword behavior, TV & CTV viewership, and household demographics—directly into the hands of media buyers. The platform replaces the traditional “pick‑a‑segment” model with a signal‑first workflow, allowing users to select, exclude, and weight each data point before the audience is generated.
How the technology works
Instead of relying on opaque, pre‑packaged audience buckets, Cadent’s solution surfaces over a hundred predictive signals in a searchable catalog. Marketers can combine these signals into custom predictive models, then fine‑tune the resulting audience with the same transparency they enjoy when using first‑party data. The backend leverages Cadent’s independent identity graph and real‑time AI‑driven AI to score each user against the chosen criteria, producing a high‑precision audience that can be pushed to any demand‑side platform (DSP) or connected‑TV (CTV) buying interface.
Why the announcement matters
Industry research highlights the pain points Cadent aims to solve. Winterberry Group estimates that ad‑tech taxes leave only $0.47 of every advertiser dollar for actual media spend, while the ANA’s 2024 Programmatic Transparency Benchmark finds that more than 50 % of programmatic spend never reaches its intended audience. Cadent’s own early pilots reported a 5× improvement in cost‑per‑action (CPA) for a leading quick‑service restaurant and a 4.6× behavioral lift for a top beverage brand. Moreover, the company claims that 40 % of open‑web impressions are invisible to ID‑based targeting—an inefficiency that Predictive Audience Builder directly addresses.
Industry perspective
“We know nearly 40 % of open web impressions are effectively invisible to traditional ID‑based targeting,” said Eoin Townsend, Chief Product & Technology Officer at Cadent. “Predictive Audience Builder changes that by combining our industry‑leading, independent identity graph with real‑time predictive AI. It gives media buyers a ‘best‑of‑both‑worlds’ approach to reach known audiences and uncover high‑value ones beyond IDs. Now advertisers can extend incremental reach across the open web and activate opportunities that would otherwise go unseen.”
Competitive landscape
Cadent’s move puts it in direct competition with established DSP‑side audience builders such as The Trade Desk’s “Segment Builder” and Amazon Advertising’s “Audience Studio.” Those platforms still rely heavily on pre‑defined segments or first‑party data imports, limiting flexibility for advertisers who need on‑the‑fly adjustments. By exposing raw signals, Cadent offers a level of granularity comparable to Google’s “Audience Explorer” but without the data‑ownership constraints that many brands face under Google’s ecosystem.
Implications for enterprise marketing teams
For large marketers, the ability to construct audiences from the ground up translates into three practical benefits:
- Reduced waste – Fine‑grained exclusion of low‑value signals cuts spend on irrelevant impressions.
- Faster iteration – Real‑time tuning lets teams adjust targeting mid‑flight, a capability traditionally reserved for programmatic traders with deep analytics teams.
- Cross‑device consistency – By anchoring signals to Cadent’s identity graph, audiences remain coherent across desktop, mobile, CTV, and OTT environments.
Future outlook
Gartner predicts that 70 % of ad spend will be programmatic by 2027, and the shift toward privacy‑first data models is accelerating. Cadent’s self‑service offering aligns with the industry’s move away from third‑party cookies, positioning the company as a viable alternative for brands seeking compliance‑ready, AI‑driven targeting.
Market Landscape
The ad‑tech market is at a crossroads. While programmatic budgets continue to grow, advertisers are demanding more transparency and measurable ROI. Privacy regulations such as the EU’s GDPR and California’s CCPA have forced a re‑evaluation of third‑party data sources, prompting vendors to double‑down on first‑party and probabilistic signals. Cadent’s Predictive Audience Builder leverages probabilistic modeling while maintaining a clear audit trail, a combination that satisfies both performance marketers and compliance officers. Competitors are responding: Amazon recently unveiled “Audience Insights” that surface granular purchase intent, and Adobe’s “Audience Manager” now integrates AI‑driven look‑alike generation. Yet none currently offer the same “signal‑first” UI that Cadent promotes, giving it a potential first‑mover advantage in the emerging “predictive signal marketplace.”
Top Insights
- Signal‑first targeting cuts waste: Early adopters saw up to a 5× CPA improvement, highlighting the cost efficiencies of granular audience construction.
- Privacy‑ready AI: By avoiding reliance on third‑party cookies, the platform meets GDPR and CCPA standards while still delivering high‑precision reach.
- Competitive edge through flexibility: Unlike pre‑bundled segment tools, Cadent’s builder lets marketers swap, weight, or drop individual signals in real time, a capability few rivals match today.
- Enterprise adoption accelerates: Large brands with complex data stacks can integrate Predictive Audience Builder directly into existing DSP workflows, shortening the time‑to‑value.
- Market momentum: Gartner’s forecast of 70 % programmatic spend by 2027 underscores the strategic importance of tools that can improve efficiency and transparency.
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