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Clean-room activation.
Match and model inside the publisher's clean room. The seed file never leaves its perimeter.
The data stays live, governed, and yours.
Your CRM, your loyalty file, your behavioral signals, activated across every media channel, never copied, never resold.
First-party data is the most defensible signal a brand owns. Every purchase, lapse, return and complaint is something you can target and model, with no third-party cookie underneath it.
Activation is where that advantage gets spent. We match, model and deploy inside the clean room, so the data never leaves its perimeter.
Named
Direct supply
Named publishers are the default path.
Pre‑bid
Fraud screening
Screening built to catch invalid traffic before budget moves.
Early
First reads
Domain-level visibility soon after launch.
Traceable
Claim to source
The numbers we publish tie back to named, dated sources.
Match and model inside the publisher's clean room. The seed file never leaves its perimeter.
Hashed-email, phone and mobile-ID run as a waterfall. Match rate is reported per file, with the method alongside it.
Activation runs against modeled lookalikes, not raw IDs. Privacy-preserving by construction.
Existing-customer suppression, lapsed-customer reactivation, complaint-list exclusion, applied at bid.
Real units from our showcase, running live. Hover any one to play it.
The data stays live, governed, and yours.
First-party activation is the front door. Behind it sit three more disciplines and one proprietary signal source, all on the same clean-room rules and the same named sources, run by one team.
“Identity isn’t a vendor pick. It’s a waterfall.”
The identity layer is the substrate every audience play depends on: frequency caps, first-party activation, attribution. We run it as a waterfall: deterministic IDs where available, household graph where they fail, privacy-safe cohorts where neither holds. One household definition applies across CTV, display, social and retail media.
“A lookalike is only as good as the seed it grew from.”
Lookalike modeling starts from a known seed: buyers, high-value customers, the lapsed-but-recoverable. From there it extends toward prospects who share the seed’s behavioral signal. The quality lives in three layers: the seed, the model, and the activation. We audit the seed before modeling, document what drives the expansion, and cap its depth at the point returns start to dilute.
“Context is the cookieless future’s first answer.”
Contextual was the original programmatic signal and is becoming the most defensible one. Modern contextual is AI-classified semantic intent: topic, sentiment, reader intent and brand-safety attributes, classified at bid time rather than pulled from a stale keyword taxonomy. Custom intent classes are built per brand.
“Real people, telling each other what to buy.”
Social listening listens to 30 live sources of real consumer voice: TikTok comments, Amazon reviews, Reddit threads. Everything is screened against paid-disclosure patterns before it counts. That corpus is ours alone, and it doesn’t stop at briefs: the behaviors behind the verbatims become modelable seeds, activated programmatically across the same channels as everything above.
Tell us what you’re running. We’ll show you where it’s actually running, and what that’s worth.