For developers and growth teams, Event Aggregates bridge the gap between raw data and personalized experiences.
Why use Event Aggregates?
You can use aggregates for the cases below:
Advanced Logic
Build segments based on calculated values and conditional logic rather than simple event counts.
Reduced Latency
Ensure personalization and targeting reflect the latest user activity through runtime calculations.
Pipeline Efficiency
Eliminate the need to maintain external aggregate data pipelines for standard behavioral metrics.
Precision Targeting
Apply conditional logic to specific event parameters to refine audience definitions.
Typical use cases
The typical use cases while using Aggregates are:
High-Value Targeting
Identify users who spent above a specific threshold in a target category.
Dynamic Revenue Calculation
Calculate net revenue by including or excluding specific parameters like VAT, shipping, or discounts.
Discovery Analysis
Count distinct items or actions across a specific timeframe to measure user engagement depth.