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Adobe: Customer Journey Analytics

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Eric Matisoff

2:30:58

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  • 01 - Solving business challenges with Customer Journey Analytics.mp4
    00:52
  • 02 - What you should already know about analytics.mp4
    03:30
  • 03 - Accessing your Customer Journey Analytics demo data.mp4
    02:51
  • 01 - Introducing the left rail in Customer Journey Analytics.mp4
    05:11
  • 02 - Identifying the rest of the Workspace interface.mp4
    04:11
  • 03 - Finding Guided Analysis as a part of Adobe Product Analytics.mp4
    03:50
  • 04 - Introducing the concept of Adobe Experience Platform.mp4
    04:42
  • 05 - Ingesting data using Connections.mp4
    03:11
  • 06 - Deploying cross-channel analytics for identity stitching.mp4
    03:22
  • 07 - Curating and customizing data via Data Views.mp4
    04:58
  • 08 - Prompting AI Assistant for support.mp4
    03:06
  • 01 - Distinguishing unique capabilities from Adobe Analytics.mp4
    04:55
  • 02 - Building a project from the landing page.mp4
    03:04
  • 03 - Exploring Customer Journey Analytics-specific metrics.mp4
    05:34
  • 04 - Exploring Customer Journey Analytics-specific dimensions.mp4
    05:43
  • 05 - Assessing a testing program using the Experimentation Panel.mp4
    05:43
  • 06 - Building people-based analyses.mp4
    05:26
  • 07 - Sharing projects to other users.mp4
    04:42
  • 08 - Publishing audiences for activation.mp4
    03:47
  • 09 - Extracting data for use outside of Adobe.mp4
    05:05
  • 01 - Using the left rail in guided analyses.mp4
    04:43
  • 02 - Identifying the rest of the Guided Analysis interface.mp4
    03:25
  • 03 - Expanding trends to frequency.mp4
    03:21
  • 04 - Analyzing the Funnel analysis.mp4
    04:50
  • 05 - Identifying user retention.mp4
    04:38
  • 06 - Differentiating user growth of your experience.mp4
    03:31
  • 07 - Assessing the impact of product features.mp4
    03:56
  • 08 - Diving into your users streams of data.mp4
    03:46
  • 01 - Customizing component settings of metrics.mp4
    04:22
  • 02 - Customizing component settings of dimensions.mp4
    04:30
  • 03 - Changing components types.mp4
    03:59
  • 04 - Building derived fields.mp4
    04:54
  • 05 - Indicating common use cases for Data View customization.mp4
    03:36
  • 01 - Building mobile scorecards via the Dashboards app.mp4
    03:32
  • 02 - Ingesting data for analysis into Microsoft Excel.mp4
    04:04
  • 03 - Accessing data via API.mp4
    02:53
  • 01 - Further honing your Customer Journey Analytics skills.mp4
    03:15
  • Description


    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.

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    Eric Matisoff
    Eric Matisoff
    Instructor's Courses
    As the Evangelist for Data Science and Analytics at Adobe, Eric works with the best analytics products in the world and the best Adobe Analytics customers as well. My role at Adobe as an evangelist is to work with the analytics enthusiast. I’m here to help you better understand Adobe’s vision when it comes to data and analytics, to clear up any confusion that you may have about the Adobe Marketing Cloud, and finally, to help spark and lead conversation about where our awesome industry is heading.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 37
    • duration 2:30:58
    • English subtitles has
    • Release Date 2025/01/22