Customer Journey Analytics
Advanced Analysis Workspace & Data View Design
Component-level data view design, calculated metrics, and building analyst-proof workspace projects.
Intermediate
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Curriculum
1. Advanced Techniques
1.1 Calculated Metrics and Derived Fields
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1.2 Designing Data Views Analysts Won't Misuse
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1.3 Anomaly Detection and Contribution Analysis
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2. Visualizing Complex Customer Behavior
2.1 Cohort Tables: Measuring Retention and Churn Precisely
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2.2 Flow, Fallout, and Venn Diagrams for Journey Diagnosis
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2.3 Journey Canvas and the Experimentation Panel
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3. Attribution Modeling in Depth
3.1 Choosing and Comparing Attribution Models
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3.2 Lookback Windows and Why Dates Sometimes Don't Match
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4. Migrating from Adobe Analytics to CJA
4.1 Mapping eVars, Props, and Events to XDM Fields
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4.2 Finding Semantic Gaps and Running a Dual-Run Validation
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5. Real-World Advanced Scenarios
5.1 Abandoned Cart Recovery and Multi-Touch Attribution
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5.2 Customer Lifetime Value, ABM, and ROI Measurement
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