UA Engine
User behavior analysis
Provides the capability of collecting and analyzing user behavior data, integrating various data sources such as acquisition data, monetization data, and in-app user behavior data for in-depth analysis.
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Explore Data Engine
Ten analysis models to meet various application scenarios
- Event analysis
- Retention analysis
- Funnel analysis
- Distribution analysis
- Path analysis
- SQL query
- Attribute analysis
- Interval analysis
- User cohort
- User tagging
Monitor core in-game metrics in real-time to understand user behavior trends. Perform drill-down analysis by different dimensions and support arithmetic operations to flexibly generate complex metrics.
Feature advantages
Real-time query
Provides real-time querying capabilities with second-level response times, enabling faster decision-making.
Behavioral chain
Record complete user behavior sequences to reconstruct each action from acquisition, usage, to monetization.
User insights
Gain deep insights into users with various methods for generaating user tags, enabling layered user operations.