- Adobe Customer Journey Analytics Guide
- Release Notes
- Getting Started
- Customer Journey Analytics and Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Comparison with Adobe Analytics
- Overview
- Utilize Adobe Analytics data in Customer Journey Analytics
- Customer Journey Analytics feature support
- Compare terminology for Analytics data passed through the Analytics source connector
- Compare data processing across Adobe Analytics and Customer Journey Analytics
- Virtual reporting environments and sandbox environments
- Processing Rules, VISTA and classifications versus Data Prep
- AAID, ECID, AACUSTOMID and the Analytics source connector
- Data Ingestion
- Connections
- Data Views
- Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Visualizations
- Visualizations overview
- Manage data sources
- Freeform table
- Cohort Table
- Fallout
- Flow
- Area and area stacked
- Bar and bar stacked
- Bullet graph
- Combo chart
- Donut
- Histogram
- Horizontal Bar and Horizontal Bar Stacked
- Intelligent captions
- Key metric summary
- Line
- Scatterplot
- Summary Number and Summary Change
- Text
- Tree map
- Venn
- Panels
- Curate, Share and Schedule projects
- Export
- Anomaly Detection
- User preferences
- Workspace FAQs
- Analytics dashboards
- Guided analysis
- Components
- Components overview
- Add component descriptions
- Annotations
- Scheduled project
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Calculated metrics overview
- Calculated metrics workflow
- Calculated metrics workflow
- Find metrics
- Build metrics
- Metric type and attribution
- Build a participation metric
- Filtered metrics
- Stack and replace filters
- Filtered and weighted metrics
- Filter calculated metrics
- Mark calculated metrics as favorites
- Copy calculated metrics
- Use functions
- Tag calculated metrics
- Approve calculated metrics
- Share calculated metrics
- Calculated metric manager
- Default calculated metrics
- Basic functions
- Advanced functions
- Calendar and date ranges
- Exports
- Data Dictionary
- Report Builder
- Reporting Activity Manager
- Stitching
- Adobe integrations
- Integrate Adobe solutions with Customer Journey Analytics overview
- Integrate Adobe Analytics with Customer Journey Analytics
- Integrate Journey Optimizer data with Customer Journey Analytics
- Integrate Decision Management data with Customer Journey Analytics
- Integrate Customer AI with Customer Journey Analytics
- Data Governance
- Use cases
- Administration
- Labs
- Troubleshooting
- Customer Journey Analytics glossary
- Customer Journey Analytics API
Time-parting dimensions in Analysis Workspace
Time parting takes the timestamp of collected events and breaks it into more meaningful dimensions, such as “Hour of Day” or “Day of Week”.
Time-parting dimensions are based on the time zone of the data view. These dimensions are available in Analysis Workspace and can help to answer the following questions:
- Across a large date range, what is the most popular time of day for persons to access my site or app?
- Are there days of the week, or hours of the day, on which conversion is higher on my site or app?
- How do my weekend sales compare to my weekday sales?
- Does a certain marketing campaign generate higher conversions in the morning, or in the afternoon?
| Dimension | Example Values |
|---|---|
| Hour of Day | 0-23 |
| AM/PM | AM, PM |
| Day of Week | Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday |
| Weekend/Weekday | Weekend, Weekday |
| Day of Month | 1-31 |
| Month of Year | January-December |
| Day of Year | 1-366 |
| Quarter of Year | Q1, Q2, Q3, Q4 |
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