A variety of data analysis models comprehensively cover the daily user analysis needs.
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Offering a variety of general-purpose analysis models to meet the needs of various application scenarios.
Event analysis- Retention analysis
Funnel analysis- Distribution analysis
- Path analysis
- SQL query
- Attribute analysis
- Interval analysis
Monitor core in-app 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.
User journey data correlation and multidimensional cross-analysis
Multidimensional analysis
Support multi-dimensional grouping of any analysis metric to quickly identify changes in metrics across different dimensions.
Cross analysis
Identify different user groups based on a specific analysis metric, and then conduct cross-analysis using these groups as new dimensions.
Date trend analysis
Compare the performance of specific metrics over different time periods to understand their trend variations.
Full-chain user behavior tracking and drill-down insights
In analysis scenarios, it is important to not only focus on overall metrics but also examine data from multiple dimensions. This includes drilling down into the behavior sequences of individual key users, providing deeper insights into user feedback at a more detailed level. This approach offers strong support for data-driven optimization decision-making.
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