Customer Journey Analytics Guide
This technical documentation guide provides self help assistance for Customer Journey Analytics. Customer Journey Analytics allows you to bring your customer data from any channel you choose (both online and offline) into Adobe Experience Platform. And then analyze this data just as you would your existing digital data using Analysis Workspace today.
Customer Journey Analytics lets you control how you connect your online and offline data in Analysis Workspace on any common customer ID, allowing you to do attribution, filters, flow, fallout, etc. across your customer data.
What’s new?
Get a glimpse of the newest enhancements in the Customer Journey Analytics product and documentation! For a comprehensive list of features, improvements, and fixes, check out the detailed Release Notes. Visit the documentation updates page to stay up-to-date with the latest changes.
AI Assistant is a conversational experience that allows practitioners to perform tasks at a fast pace - whether its understanding concepts, troubleshooting problems, or searching through information. It also allows non-experts to perform expert tasks and increases the overall quality of work.
Guided Analysis is now available directly from within Analysis Workspace, enabling users to create dashboards with comprehensive insights from panels, visualizations, and guided analyses.
Intelligent captions are now supported, with additional interface improvements, for Line (including multi-line), Bar, Horizontal bar, Area (including multiple Area lines), Donut, Fallout, and Flow visualizations.
Alerts allow you to be notified based on changed percentages or specific data points. You can preview how often an alert will trigger, send alerts by email or SMS, create stacked alerts, and more.
Allows you to bring in time-series data that does not have a person ID. This time-series data can be used to support various use cases, such as
- Presenting high-level performance indicators as part of or next to event-level data.
- Uploading targets or goals at an hourly or daily basis, then positioning these targets or goals against event-level metrics.
Through Graph-based stitching, you can use the identity graph from the Experience Platform Identity Service to get a better view of the customer journey by:
- Joining datasets with different identifiers without having to extract, transform and load additional data to reflect a single identifier.
- Improving coverage of preferred or golden identity for a single dataset by sharing identities across datasets,
- Aligning profiles created in Real-Time Customer Data Platform and Journey Optimizer with people in Customer Journey Analytics.
You must have the Prime package for graph-based stitching.
As part of configuring a connection, you can transform datasets for specific B2B lookup schemas to better support person-based lookups on B2B data.
New derived field functions (Math, Next or Previous, Summarize, Deduplicate) and additional function templates (like Bounces, Friendly Dataset Name, Holiday Season, Monthly Goals, Simple Bot Detection, and others) are now available…
The BI extension enables SQL access to the data views that you have defined in Customer Journey Analytics. You can now use your favorite BI tool (Power BI Desktop, Tableau Desktop, Looker, Juyter Notebook, and RStudio) to create reporting and dashboards based on the same data views that Customer Journey Analytics users use with their Analysis Workspace projects. Use cases are provided.
You must have the Select package or higher to use the BI extension.
Start with the basics
Start by reading the material in the links below to familiarize yourself with Customer Journey Analytics capabilities and functionalities.
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Beyond online data |
Ingest and use data |
Guided Analysis |
Analysis Workspace |
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Explore the documentation
Understand how Customer Journey Analytics compares to Adobe Analytics. And how to get your data in the solution and then prepare, view, analyze, and democratize that data and the resulting analysis and reports.
Compare to Adobe Analytics Overview - Evolution - Use Adobe Analytics data - Feature support - Terminology - Data processing |
Connections Overview - Create - Manage - Stitch - Combined event datasets - Standard Lookups |
Data views Overview - Create or edit - Session settings - Derived fields - Summary data - Component reference |
Workspace Projects Analysis Workspace - Basic & Advanced analysis - Projects - Visualizations - Panels |
Guided Analysis Overview - User Growth - Trends - Funnel - Impact - Industry use cases |
Share, export, integrate Projects - Analytics Dashboards - Report Builder - Cloud export - Integrations |
Additional resources
| Stay informed, contribute to the community, and elevate your Customer Journey Analytics experience! Visit the Adobe Analytics community to discuss the functionality with fellow practitioners. Join the community today! |
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
- Analytics dashboards
- Guided analysis
- Components
- Report Builder
- Reporting Activity Manager
- Stitching
- Adobe integrations
- Data Governance
- Use cases
- Labs
- Troubleshooting
- Tech notes
- Customer Journey Analytics API