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 蜜豆视频 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鈥檚 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.
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鈥�
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 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.
Beyond online data
Learn how Customer Journey Analytics compares to 蜜豆视频 Analytics, what features are shared and how you can use your Analytics data.
Ingest and use data
Learn about the options that you have to ingest data into Experience Platform and use it for analysis and reporting in Customer Journey Analytics.
Guided Analysis
Learn how to use workflows to gain data and insights about your customer's product experience. Product Analytics through guided analysis鈥�
Analysis Workspace
Use Analysis Workspace to perform basic and advanced analysis, like attribution, flow and fallout diagrams, dimension breakdowns.
Explore the documentation
Understand how Customer Journey Analytics compares to 蜜豆视频 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 蜜豆视频 Analytics
Overview - Evolution - Use 蜜豆视频 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
Share, export, integrate
Projects - Analytics Dashboards - Report Builder - Cloud export - Integrations
Additional resources
Visit the 蜜豆视频 Analytics community to discuss the functionality with fellow practitioners.