Adobe Analytics For Dummies

Adobe Analytics For Dummies
PDF, ePUB
  • eBook:
    Adobe Analytics For Dummies
  • Author:
    David Karlins, Eric Matisoff
  • Edition:
    1 edition
  • Categories:
  • Data:
    April 2, 2019
  • ISBN:
    1119446082
  • ISBN-13:
    9781119446088
  • Language:
    English
  • Pages:
    400 pages
  • Format:
    PDF, ePUB

Book Description
Use Adobe Analytics as a marketer —not a programmer!
If you're a marketer in need of a non-technical, beginner's reference to using Adobe Analytics, this book is the perfect place to start. Adobe Analytics For Dummies arms you with a basic knowledge of the key features so that you can start using it quickly and effectively.
Even if you're a digital marketer who doesn't have their hands in data day in and day out, this easy-to-follow reference makes it simple to utilize Adobe Analytics. With the help of this book, you'll better understand how your marketing efforts are performing, converting, being engaged with, and being shared in the digital space.
  • Evaluate your marketing strategies and campaigns
  • Explore implementation fundamentals and report architecture
  • Apply Adobe Analytics to multiple sources
  • Succeed in the workplace and expand your marketing skillset
The marketing world is continually growing and evolving, and Adobe Analytics For Dummies will help you stay ahead of the curve.

Content

Part 1: Getting Started with Adobe Analytics
Chapter 1: Why Adobe Analytics?
Chapter 2: Basic Building Blocks of Reporting and Analysis
Chapter 3: Conquering the Analysis Workspace Interface

Part 2: Analyzing Data
Chapter 4: Building Analytic Reports with Freeform Tables
Chapter 5: Using Metrics to Analyze Data
Chapter 6: Using Dimensions to Analyze Data
Chapter 7: Using Device, Product, and Custom Dimensions to Analyze Data
Chapter 8: Productivity Tips and Techniques

Part 3: Massaging Data for Complex Analysis
Chapter 9: Designing Precise Segments
Chapter 10: Creating Calculated Metrics to Accelerate Analyses
Chapter 11: Classified! Using Classifications to Make Data More Accessible
Chapter 12: Applying Attribution Models for Sophisticated Analysis

Part 4: Visualizing Data to Reveal Golden Nuggets
Chapter 13: Creating Chart Visualizations for Data Storytelling
Chapter 14: Advanced Visualization
Chapter 15: Leveraging Data Science to Identify Unknown Unknowns
Chapter 16: Arming Yourself with Data from the Beyond

Part 5: The Part of Tens
Chapter 17: Top Ten Custom Segments
Chapter 18: Top Ten Analytics Resources

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