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Capabilities · Audience Targeting

Target precisely. Waste less.

Audience primitives built from first-party signals, lookalike expansion, contextual intelligence, and predictive value scoring: all working from the same identity layer.

FIRST-PARTY · DEVICE GRAPHLOOKALIKES · CONTEXTUALMATCH RATE 60–80%SEED
60–80%
Match rates
20K+
Contextual categories
pLTV
Value scoring
Privacy
First-party native
What's in the stack

Four targeting primitives.

01FIRST-PARTY DATA

Build from your own signals

CRM events, purchase history, and site behavior form the seed for every audience, not rented third-party data.

Native integrations · CDP-friendly · identity-graph enriched.

02LOOKALIKE EXPANSION

Find more like your best

Seed-audience modeling surfaces prospects who look behaviorally similar to your highest-value customers.

Match rates typically 60–80% on qualified seeds.

03CONTEXTUAL

Where the intent lives

NLP content classification places ads in contextually relevant environments: cookieless, durable, privacy-friendly.

20,000+ content categories · updated continuously.

04PREDICTIVE

Score by expected value

pLTV scoring drives both targeting and bidding, so you find and pay appropriately for high-value users.

Built from your first-party events in 3–7 days.

Related

Also worth a look.

SEE ALSO
Measurement & Attribution
Pair targeting with attribution to know which audiences actually drive value.
EXPLORE →
SEE ALSO
Creative Optimization
Match creative to audience segment automatically.
EXPLORE →
SEE ALSO
Customer Acquisition
The solution built on top of these targeting primitives.
EXPLORE →

Want to target better, not broader?

We'll help you map your first-party signals into high-quality audiences and show the expected reach, match rates, and incrementality before you spend.