Customer Journey Analytics Getting Started
- Topics:
- Basics
CREATED FOR:
- User
To implement Customer Journey Analytics, you need to follow this workflow. Some initial tasks are performed in Adobe Experience Platform, and some in Customer Journey Analytics.
Prerequisites
Customer Journey Analytics is available for customers who
- Are provisioned for the Adobe Experience Platform, and
- Have purchased the Customer Journey Analytics SKU
Workflow
Task | Details |
---|---|
Step 1: If you are upgrading from Adobe Analytics to Customer Journey Analytics: Choose an upgrade path and send data to Adobe Experience Platform |
There are various paths available when upgrading from Adobe Analytics to Customer Journey Analytics. Each possible upgrade path has its own advantages and disadvantages, and a path that is right for one organization might not make sense for another. To begin upgrading from Adobe Analytics to Customer Journey Analytics, do either of the following:
|
Step 2: Get other data into Adobe Experience Platform |
This step, performed in Adobe Experience Platform, involves several sub steps:
|
Step 3: Create connections between platform datasets and Customer Journey Analytics | A connection lets you integrate datasets from Adobe Experience Platform into Workspace. In order to report on Experience Platform datasets, you first have to establish a connection between datasets in Experience Platform and Workspace. See Create or edit a connection. |
Step 4: Create data views | A data view is a “filtered” view of the data. You can create different data views for the same connection, with different settings for visit timeout, attribution, etc… You can create multiple data views for a single dataset. See Create a data view. |
Step 5: Port the reporting API usage Applies only when migrating from Adobe Analytics | The Customer Journey Analytics reporting API is in the same format, but uses a different endpoint. Port the reporting API usage from the Adobe Analytics reporting API to the Customer Journey Analytics reporting API. |
Step 6: Account for Data Feeds and Data Warehouse use cases Applies only when migrating from Adobe Analytics | Decide how you will use the export options that are available in Customer Journey Analytics in order to best replicate the Data Feeds and Data Warehouse features you were using in Adobe Analytics. |
Step 7: Migrate projects and components Applies only when migrating from Adobe Analytics |
The Component migration area in Adobe Analytics allows you to migrate projects and their associated components from Adobe Analytics to Customer Journey Analytics. The migration process includes:
Before you begin the migration, first Prepare to migrate components and projects from Adobe Analytics to Customer Journey Analytics. After you make all of the needed preparations, you can Migrate components and projects from Adobe Analytics to Customer Journey Analytics. |
Step 8: Plan user onboarding |
Like in Adobe Analytics, Analysis Workspace is the main user-facing tool in Customer Journey Analytics. However, there are some key differences when using Analysis Workspace in Customer Journey Analytics that users need to be aware of. You should give your users ample time (3 - 6 months) to become familiar with the key differences of Analysis Workspace in Customer Journey Analytics. For information about some of the key differences between Adobe Analytics and Customer Journey Analytics, see User Guide for Adobe Analytics users. |
Step 9: Report on your cross-channel data in Workspace | After you have created connections and data views, analyze the data you have brought in using the power and flexibility of Analysis Workspace. See Perform basic analysis and Perform advanced analysis. |
Quick start guides
The Data ingestion section provides quick start guides on the workflow above. These quick start guides illustrate how to ingest data from a variety of sources (including Adobe Analytics) in Adobe Experience Platform and then use that data in Customer Journey Analytics.
More help on this topic
Customer Journey Analytics
- Adobe Customer Journey Analytics Guide
- Release Notes
- Get started
- Customer Journey Analytics and Adobe 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
- Analytics dashboards
- Guided analysis
- Components
- Overview
- Use components in Analysis Workspace
- Add component descriptions
- Annotations
- Scheduled projects
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Overview
- Calculated metrics workflow
- Create calculated metrics
- Build calculated metrics
- Find metrics
- Metric type and attribution
- Build a participation metric
- Filtered metrics
- Stack and replace filters
- 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
Adobe Customer Journey Analytics at Summit
Register for these user sessions:
- Top Tips to Maximize Value with Adobe Experience Platform Data Distiller (attend online)
- Put the Customer at the Center and Build Relationships That Last a Lifetime (attend online)
- Adobe’s New Tools: Empowering Third-Party Developers (attend online)
- Accelerate Your Revenue Marketing and Sales Cycle with Customer Journey Analytics B2B Edition
- Using Partner Data in Real-Time CDP to Win (hands-on lab)
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