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Adobe: Customer Journey Analytics

سرفصل های دوره

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.


01 - 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

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

  • 03 - 2. Analyzing Data in the Customer Journey Analytics Analysis Workspace
  • 01 - Distinguishing unique capabilities from Adobe Analytics
  • 02 - Building a project from the landing page
  • 03 - Exploring Customer Journey Analytics-specific metrics
  • 04 - Exploring Customer Journey Analytics-specific dimensions
  • 05 - Assessing a testing program using the Experimentation Panel
  • 06 - Building people-based analyses
  • 07 - Sharing projects to other users
  • 08 - Publishing audiences for activation
  • 09 - Extracting data for use outside of Adobe

  • 04 - 3. Building Guided Analyses
  • 01 - Using the left rail in guided analyses
  • 02 - Identifying the rest of the Guided Analysis interface
  • 03 - Expanding trends to frequency
  • 04 - Analyzing the Funnel analysis
  • 05 - Identifying user retention
  • 06 - Differentiating user growth of your experience
  • 07 - Assessing the impact of product features
  • 08 - Diving into your users streams of data

  • 05 - 4. Administering Customer Journey Analytics
  • 01 - Customizing component settings of metrics
  • 02 - Customizing component settings of dimensions
  • 03 - Changing components types
  • 04 - Building derived fields
  • 05 - Indicating common use cases for Data View customization

  • 06 - 5. Accessing Customer Journey Analytics Data Outside of Workspace
  • 01 - Building mobile scorecards via the Dashboards app
  • 02 - Ingesting data for analysis into Microsoft Excel
  • 03 - Accessing data via API

  • 07 - Conclusion
  • 01 - Further honing your Customer Journey Analytics skills
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    تاریخ انتشار: ۶ بهمن ۱۴۰۳
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