Adobe: Customer Journey Analytics

Course details

This course delivers a detailed review of the Adobe Customer Journey Analytics platform. Eric Matisoff explains the unique aspects of Customer Journey Analytics compared to Adobe Analytics, as well as how to apply features for your omnichannel and digital analytics needs. Plus, Eric guides you on how to analyze data using a guided analysis. Finally, learn several administrative capabilities that are key differentiators of Customer Journey Analytics.

Learning objectives
Differentiate the way data is ingested, processed, and analyzed in Customer Journey Analytics versus Core Adobe Analytics.
Summarize the wealth of ways to access Customer Journey Analytics data, including Analysis Workspace, guided analysis, Dashboards, and ReportBuilder.
Manipulate the Customer Journey Analytics data using guided analysis.
Outline unique administrative capabilities in Customer Journey Analytics to extend the value of data.

Concepts

0. Introduction

01 - Solving business challenges with Customer Journey Analytics
02 - What you should already know about analytics
03 - Accessing your Customer Journey Analytics demo data

1. Adobe Customer Journey Analytics - A Complete Overview

04 - Introducing the left rail in Customer Journey Analytics
05 - Identifying the rest of the Workspace interface
06 - Finding Guided Analysis as a part of Adobe Product Analytics
07 - Introducing the concept of Adobe Experience Platform
08 - Ingesting data using Connections
09 - Deploying cross-channel analytics for identity stitching
10 - Curating and customizing data via Data Views
11 - Prompting AI Assistant for support

2. Analyzing Data in the Customer Journey Analytics Analysis Workspace

12 - Distinguishing unique capabilities from Adobe Analytics
13 - Building a project from the landing page
14 - Exploring Customer Journey Analytics-specific metrics
15 - Exploring Customer Journey Analytics-specific dimensions
16 - Assessing a testing program using the Experimentation Panel
17 - Building people-based analyses
18 - Sharing projects to other users
19 - Publishing audiences for activation
20 - Extracting data for use outside of Adobe

3. Building Guided Analyses

21 - Using the left rail in guided analyses
22 - Identifying the rest of the Guided Analysis interface
23 - Expanding trends to frequency
24 - Analyzing the Funnel analysis
25 - Identifying user retention
26 - Differentiating user growth of your experience
27 - Assessing the impact of product features
28 - Diving into your user's streams of data

4. Administering Customer Journey Analytics

29 - Customizing component settings of metrics
30 - Customizing component settings of dimensions
31 - Changing components types
32 - Building derived fields
33 - Indicating common use cases for Data View customization

5. Accessing Customer Journey Analytics Data Outside of Workspace

34 - Building mobile scorecards via the Dashboards app
35 - Ingesting data for analysis into Microsoft Excel
36 - Accessing data via API

Conclusion

37 - Further honing your Customer Journey Analytics skills