David Karlins, Eric Matisoff

Adobe Analytics For Dummies (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 400
• Erscheinungstermin: 28. Februar 2019
• Englisch
• ISBN-13: 9781119446002
• Artikelnr.: 55443269

Autorenporträt

Eric Matisoff is Adobe's global evangelist for their Analytics solution. He appears regularly at tech and industry events to speak about Adobe products and their potential. David Karlins has written 40 books on digital communications and design, including HTML 5 & CSS 3 For Dummies.

Inhaltsangabe

Introduction 1

Part 1: Getting Started with Adobe Analytics 5

Chapter 1: Why Adobe Analytics? 7

Chapter 2: Basic Building Blocks of Reporting and Analysis 27

Chapter 3: Conquering the Analysis Workspace Interface 45

Part 2: Analyzing Data 65

Chapter 4: Building Analytic Reports with Freeform Tables 67

Chapter 5: Using Metrics to Analyze Data 87

Chapter 6: Using Dimensions to Analyze Data 107

Chapter 7: Using Device, Product, and Custom Dimensions to Analyze Data 133

Chapter 8: Productivity Tips and Techniques 155

Part 3: Massaging Data for Complex Analysis 173

Chapter 9: Designing Precise Segments 175

Chapter 10: Creating Calculated Metrics to Accelerate Analyses 191

Chapter 11: Classified! Using Classifications to Make Data More Accessible 213

Chapter 12: Applying Attribution Models for Sophisticated Analysis 235

Part 4: Visualizing Data to Reveal Golden Nuggets 255

Chapter 13: Creating Chart Visualizations for Data Storytelling 257

Chapter 14: Advanced Visualization 279

Chapter 15: Leveraging Data Science to Identify Unknown Unknowns 303

Chapter 16: Arming Yourself with Data from the Beyond 321

Part 5: The Part of Tens 343

Chapter 17: Top Ten Custom Segments 345

Chapter 18: Top Ten Analytics Resources 359

Index 371