Multiple criteria.
Calculated in real-time.
Query your unified customer data visually. Build dynamic segments using event triggers, lifetime value, and predictive traits without writing a single line of SQL.
Filter anything. Limit nothing.
Combine historical traits with real-time behaviors to create granular audience slices.
Visual Query Builder
A drag-and-drop interface powerful enough for data engineers, but intuitive enough for marketing teams. Build complex nested AND/OR rules without SQL.
Real-Time Evaluation
Segments are alive. The millisecond a customer meets your criteria, they enter the segment. When they no longer qualify, they drop out.
Time-Window Triggers
Target based on recency and frequency. E.g., “Users who added to cart 3 times in the last 24 hours but haven’t purchased.”
Lookalike & Predictive
Leverage machine learning models on your golden records to build segments based on likelihood to churn or propensity to buy in the next 7 days.
Audiences ready for activation
High-Intent Abandoners
Target users who show deep interest but fail to convert. Catch them while the intent is still hot across email or retargeting ads.
- Viewed product > 3 times
- Added to cart in last 4 hours
- Checkout = 0 times
VIP Retention (Churn Risk)
Protect your revenue by automatically identifying high-value customers whose engagement has dropped significantly compared to their historical average.
- LTV ranks in Top 10%
- Last active > 30 days ago
- Active tickets = 0
