Visual audience builder
Filters, event conditions, and profile attributes.
SEGMENTS
Audiences that ad platforms can actually act on.
Segments turns your SingleView profiles or raw first-party data into predictive and rule-based audiences, then syncs them into every destination through Signals.
Build once, act everywhere.
Predictive scoring
Propensity models trained on your first-party history.
One-click destinations
Push segments through Signals to every ad platform on a schedule.
Owned channels
Sync to email, SMS, and CRM for retention orchestration.
The plays teams run first.
Prospecting lookalikes
Seeded off high-LTV customers instead of everyone who ever bought.
Suppression
Keep recent converters out of acquisition campaigns and stop paying to re-acquire them.
Reactivation
Dormant users surfaced by propensity, synced everywhere at once.
Post-purchase upsell
Cross-sell audiences that refresh on schedule as behavior changes.
Modeling questions, answered.
Do you retrain models automatically?
Yes. Propensity models retrain on a schedule as new outcomes land, so scores drift with your customers, not away from them.
How large does my dataset need to be?
Rule-based segments work at any size. Predictive scoring becomes useful from a few thousand historical outcomes.
Can I bring my own scoring model?
Yes. Import scores from your warehouse and Segments treats them as first-class attributes.
Do you support real-time or batch sync?
Both. Event-driven sync for time-sensitive audiences, scheduled batch for everything else.
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