Manage your Customer Journey Analytics usage
- Topics:
- Basics
CREATED FOR:
- Admin
You can manage your Customer Journey Analytics usage in the Connections interface. In this interface, you can can define the Customer Journey Analytics data retention as a rolling window in months (1 month, 3 months, 6 months, etc.), at the connection level.
The main benefit is that you store or report only on data that is applicable and useful and delete older data that is no longer useful. It helps you stay under your contract limits and reduces the risk of overage cost.
If you leave the default (unchecked), the retention period will be superseded by the Adobe Experience Platform data retention setting. If you have 25 months’ worth of data in Experience Platform, Customer Journey Analytics will get 25 months of data through backfill. If you deleted 10 of those months in Platform, Customer Journey Analytics would retain the remaining 15 months.
Data retention is based on event dataset timestamps and applies to event datasets only. No rolling data window setting exists for profile or lookup datasets, since there are no applicable timestamps. If your connection includes any profile or lookup datasets, since they are joined with event datasets, the data is retained in Customer Journey Analytics based on your data retention settings on the event dataset timestamps.
Customer Journey Analytics
- Adobe Customer Journey Analytics Guide
- Release Notes
- Get Started
- Customer Journey Analytics and Adobe Analytics
- Upgrade to Customer Journey Analytics
- Recommended upgrade process
- Architect and create a schema
- Create a datastream
- Create datasets
- Implement the Web SDK with tags
- Implement the Web SDK manually
- Implement the Web SDK with the API
- Create a connection
- Create a data view
- Create a marketing channel derived field
- Validate data flow
- Set up Streaming Media Collection
- Retain historical data with the Analytics source connector
- Evaluate when to disable Adobe Analytics
- Disable Adobe Analytics
- Alternative upgrade methods
- Other upgrade scenarios
- Additional information
- Comparison with Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Upgrade to Customer Journey Analytics
- Data ingestion
- Connections
- Data Views
- Tools
- Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Templates
- Visualizations
- Panels
- Curate, share and schedule projects
- Export
- Anomaly Detection
- Forecasting
- Table of contents
- User preferences
- Workspace FAQs and more
- Content Analytics
- Analytics dashboards
- Guided analysis
- Components
- Overview
- Use components in Analysis Workspace
- Add component descriptions
- Annotations
- Scheduled projects
- Audiences
- Dimensions
- Metrics
- Segments
- Calculated metrics
- Overview
- Calculated metrics workflow
- Create calculated metrics
- Build calculated metrics
- Find metrics
- Metric type and attribution
- Build a participation metric
- Segmented metrics
- Stack and replace segments
- Filter calculated metrics
- Mark calculated metrics as favorites
- Copy calculated metrics
- Use functions
- Tag calculated metrics
- Approve calculated metrics
- Share calculated metrics
- Manage calculated metrics
- Examples
- Calculated metrics templates
- Basic functions
- Advanced functions
- Date ranges
- Alerts
- Exports
- Data Dictionary
- Report Builder
- Reporting Activity Manager
- Stitching
- Adobe integrations
- Data Governance
- Use cases
- Labs
- Troubleshooting
- Tech notes
- Customer Journey Analytics API