Adobe CJA: Master Cross-Channel & Product Analytics

Name: Adobe CJA: Master Cross-Channel & Product Analytics
Rating: 4.1 (69 reviews)

Master CJA & Adobe Experience Platform. Learn Data Views, Cross-channel Identity Stitching, and Guided Analysis.

Created byFairway Academy

Last updated 1/2026

English

English [Auto],

What you'll learn

Connect and ingest cross-channel data sources using the Adobe Experience Platform (AEP) and CJA Connections.
Implement Identity Stitching to merge user profiles across web, mobile, and offline touchpoints for a unified customer view.
Configure and customize Data Views to curate specific datasets for different business teams without altering underlying data.
Create complex Derived Fields to manipulate, correct, and format data variables directly within the reporting interface.
Utilize the "Guided Analysis" workflow to perform product-centric analysis, including Funnels, Impact, and Retention reporting.
Distinguish between session-based data (Adobe Analytics) and person-based data (CJA) to choose the right analysis method.
Build and assess A/B tests and marketing experiments using the dedicated Experimentation Panel.
Export and visualize CJA data externally using the Mobile Scorecard App, Microsoft Excel, and the CJA API.

Course content

6 sections • 36 lectures • 2h 26m total length

Solving business challenges with Customer Journey Analytics0:38
Explore how Adobe Customer Journey Analytics enables cross-device, cross-channel, people-based analyses to map the full customer journey from awareness to retention. Access a free demo data sandbox.
What you should already know about analytics3:28
Accessing your Customer Journey Analytics demo data2:50
CJA Strategic Foundations: Business Value and Data Access

Introducing the left rail in Customer Journey Analytics5:10
Explore the left rail in Customer Journey Analytics within the Analysis Workspace, and learn to use panels, visualizations, and components—dimensions, metrics, filters, and date ranges—for drag-and-drop analyses.
Identifying the rest of the Workspace interface4:10
Explore the analysis workspace interface, including menus, project saving and undo/redo shortcuts in customer journey analytics. Configure panels, data views, and date ranges with presets and rolling dates.
Finding Guided Analysis as a part of Adobe Product Analytics3:49
Explore pre-built guided analyses in adobe customer journey analytics to self-serve high-quality insights from cross-channel data, including usage, funnel, retention, and user growth reports.
Introducing the concept of Adobe Experience Platform4:41
Navigate Adobe Experience Platform basics—data lake, identity graph, schemas, and datasets—and explore its four native apps: Customer Journey Analytics, Real-time Customer Data Platform, Journey Optimizer, and MixModeler, for cross-channel activation.
Ingesting data using Connections3:09
Learn how to ingest data into customer journey analytics by creating connections from adobe experience platform datasets, configuring retention, identity maps, and data views for end-user interfaces.
Deploying cross-channel analytics for identity stitching3:21
Learn how identity stitching enables cross-channel analytics by linking anonymous device IDs to signed-in identities, enabling live omnichannel journeys and replay stitching through the identity graph.
Curating and customizing data via Data Views4:57
Explore how data views curate and govern analytics in adobe customer journey analytics, enabling connection-specific, retroactive customization of metrics, dimensions, filters, and session definitions.
Prompting AI Assistant for support3:05
Access the AI assistant in Adobe Experience Platform apps for documentation-based, conversational guidance and source links on customer journey analytics.
Architectural Mastery: Connections, Stitching, and Data Views

Distinguishing unique capabilities from Adobe Analytics4:54
Explore how customer journey analytics uniquely combines data from multiple sources for omnichannel analysis, removing cardinality limits and enabling features like sorting, forecasting, and intelligent captions.
Building a project from the landing page3:03
Navigate the project listing to access and open your customer journey analytics projects. Organize with folders, pins, and stars, and set rolling 30-day calendars to manage sharing and sorting.
Exploring Customer Journey Analytics-specific metrics5:32
Explore customer journey analytics metrics unique to cja, including events, sessions, and people. Examine first-time and return sessions, session starts and ends, and time-spent across dimensions like page and channel.
Exploring Customer Journey Analytics-specific dimensions5:41
Explore customer journey analytics dimensions unique to Adobe, from platform batch id and dataset id to person id and identity namespace, plus time-based metrics to analyze omni-channel behavior.
Assessing a testing program using the Experimentation Panel5:42
Use the experimentation panel to run A/B tests across testing platforms, compare variants, measure lift in orders and page views, and review confidence bounds for decision making.
Building people-based analyses5:25
Explore how to perform people-based analyses in customer journey analytics by using filters, the drop zone, and the people metric to analyze purchases and journeys across devices and channels.
Sharing projects to other users4:40
Share Analysis Workspace projects with colleagues or executives by selecting access levels—edit original, edit copy, or read-only—and by sharing links, including governance to limit visible components.
Publishing audiences for activation3:45
Publish audiences from customer journey analytics to Experience Platform, using right-click from tables or visualizations, name and tag audiences, set refresh frequency, and activate via real-time CDP and Journey Optimizer.
Extracting data for use outside of Adobe5:03
Learn how to export data from Customer Journey Analytics to external tools by using workspace exports, freeform table options, and full table exports, including scheduling and cloud warehouse destinations.
Advanced Analysis: People-Based Insights and Experimentation

Using the left rail in guided analyses4:41
Learn to navigate the guided analyses left rail, switch views from usage to frequency and trends, select events and metrics, apply filters, segments, and breakdowns for insights.
Identifying the rest of the Guided Analysis interface3:23
Rename the report, save it, and share with colleagues. Customize visuals, export to workspace, and copy charts while applying breakdowns and date comparisons.
Analyzing the Funnel analysis3:19
Learn how to analyze how often users perform actions (register, purchase, view content) using frequency bucketing, metrics like cart additions and product views, and flexible visualizations.
Identifying user retention4:49
Build and analyze a funnel report with guided analyses to compare paths, add steps like homepage, product view, and cart, and reveal conversion trends and retention insights.
Differentiating user growth of your experience4:37
Master retention analysis in Adobe CJA by using the retention report to track orders versus all events, explore cohort insights, and tie cart additions to purchases to inform growth strategies.
Assessing the impact of product features3:30
Analyze user growth to assess the impact of product features by tracking daily new, repeat, dormant, and return users, applying event-based segmentation and net growth insights.
Diving into your user's streams of data3:54
Explore user streams of data with guided analyses in the release report, using date ranges and first-use analysis to gauge impact on cart additions, product views, and orders.
Product Analytics: Funnels, Retention, and Impact Logic

Customizing component settings of metrics3:45
Explore how to customize component settings of metrics in Adobe CJA to analyze cross-channel and product analytics, using user streams, segments, and filters to reveal per-user journeys.
Customizing component settings of dimensions4:21
As an admin, customize metrics in data views by editing, duplicating, and formatting currencies, while applying currency conversions and attribution for look back windows in workspace.
Expanding trends to frequency4:28
Customize dimensions in data views by parsing the url, applying substring options, lowercase, include-exclude rules, and create email tracking codes like CID with last known persistence.
Changing components types3:57
Learn two methods to create new data in cja: changing component types and derived fields, including turning a dimension into a metric and applying value bucketing.
Building derived fields4:53
Create new metrics and dimensions with derived fields via a rule builder in Adobe CJA; correct data, standardize values, and build marketing channel dimensions.
Indicating common use cases for Data View customization3:35
Explore common use cases for data view customization in Adobe CJA, including derived fields, next/previous page analysis, duplicating a data view, and default attribution settings for accurate cross-channel analytics.
Administrative Intelligence: Component Customization and Derived Logic

Building mobile scorecards via the Dashboards app3:31
Create mobile scorecards in the dashboards mobile app for analytics on iOS and Android using drag and drop. Customize metrics, titles, and drill down layouts to tell a data story.
Ingesting data for analysis into Microsoft Excel4:02
Install and use Adobe Report Builder for CJA to pull data into Excel, create data blocks with dimensions and metrics, and filter by segment to visualize and share insights.
Accessing data via API2:52
Learn to access customer journey analytics data via api using python and r wrappers, including a cja-py wrapper and r client, with endpoint guide and power bi and tableau extensions.
Data Activation: Mobile, Excel, and API Workflows

Requirements

A foundational understanding of digital analytics concepts (e.g., dimensions, metrics, segments) is recommended.
Familiarity with Adobe Analytics is helpful for context but not strictly required, as we cover the interface from scratch.
Access to an Adobe Customer Journey Analytics sandbox or enterprise environment is ideal for hands-on practice, but you can learn the concepts by watching the demonstrations.

Description

This course contains the use of artificial intelligence.

Move beyond session-based reporting and master the future of omnichannel analysis with Adobe Customer Journey Analytics (CJA).

As the digital landscape evolves, businesses are no longer satisfied with just web or app data in isolation. They need a unified view of the customer. Adobe Customer Journey Analytics is the next-generation engine built on the Adobe Experience Platform (AEP) that allows you to stitch together data from online and offline channels to visualize the entire customer lifecycle.

This course is a comprehensive deep dive into the architecture, administration, and analysis capabilities of CJA. Whether you are an experienced Adobe Analytics user transitioning to CJA or a Data Architect building a new implementation, this curriculum provides the exact skills you need.

In this course, you will master:

The Architecture: Understand how CJA sits on top of the Adobe Experience Platform and how it fundamentally differs from traditional Adobe Analytics.
Data Ingestion & Stitching: Learn how to create Connections to ingest data and utilize Identity Stitching to merge visitor profiles across devices and channels (e.g., Call Center + Web + App).
Data Views & Derived Fields: Stop relying on IT for every data change. Learn to curate data using Data Views and build complex Derived Fields on the fly to clean and format data without re-engineering.
Analysis Workspace for CJA: Explore unique metrics and dimensions, build People-Based Analyses, and use the Experimentation Panel for A/B test analysis.
Product Analytics (Guided Analysis): Dive into specific product workflows to measure User Retention, Funnels, and Impact analysis to drive product growth.
Activation: Learn how to publish audiences directly from CJA for real-time marketing activation.

By the end of this course, you will be able to architect, administer, and analyze complex customer journeys, turning fragmented data into a cohesive narrative that drives business growth.

Enroll today and lead the shift to cross-channel analytics.

Who this course is for:

Senior Digital Analysts looking to transition from traditional web analytics (Adobe Analytics/GA4) to omnichannel customer journey analysis.
Data Architects & Engineers responsible for setting up the Adobe Experience Platform (AEP) and connecting data sources.
Product Managers who need to use Guided Analysis to understand user retention, feature impact, and growth funnels.
Marketing Technologists seeking to understand how to stitch online and offline data for better attribution and audience activation.

Adobe CJA: Master Cross-Channel & Product Analytics

What you'll learn

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Course content

CJA Foundation: Solving Enterprise Challenges & Accessing Data3 lectures • 7min

AEP, Identity Stitching & Data Views: The CJA Architecture Mastered8 lectures • 32min

Advanced Analysis: People-Based Metrics, Testing & Activation9 lectures • 44min

Product Analytics: Funnel, Retention & Feature Impact Analysis7 lectures • 28min

CJA Administration: Customising Components & Building Derived Fields6 lectures • 25min

Data Activation: Mobile Dashboards, Excel Exports & API Access3 lectures • 10min

Requirements

Description

Who this course is for: