| Description |
1 online resource (1 volume) : illustrations |
| Contents |
Table of Contents; Introduction; Who Needs Google Analytics?; Who Should Read This Book?; How This Book Is Organized; How to Contact the Author; Chapter 1: Implementation Best Practices; Planning Your Implementation; Implementing and Customizing Your Code; Setting Up the Google Analytics Interface; Tagging Your Inbound Traffic; Managing Your Implementations Effectively; Summary; Part I: Official Integrations; Chapter 2: AdWords Integration; Integrating AdWords and Google Analytics; Integration Data, Structure, and Standard Reports; Optimizing AdWords Performance Using Google Analytics |
|
Chapter 11: Email Data IntegrationTracking Email Opens; Tracking User Behavior Across Devices; Summary; Chapter 12: Offline Data Integration; The Full Customer Journey; Implementation Details and Script; Summary; End User License Agreement |
| Summary |
This guide takes you well beyond the basics of using Google Analytics to track metrics, showing you how to transform this simple data collection tool into a powerful, central marketing analysis platform for your organization. You'll learn how Google AdWords, AdSense, CRMs, and other data sources can be used together to deliver actionable insights about your customers and their behavior. Topics include: proven techniques and best practices for collecting clean and accurate information from the start; importing your organization's marketing and customer data into Google Analytics; importance of taking a holistic view of your customers and how this knowledge can transform your business; step-by-step guidance on using the latest analytical tools and services to gain a complete understanding of your customers, their needs, and what motivates them to take action. -- Edited summary from book |
| Notes |
Includes index |
|
English |
|
Print version record |
| SUBJECT |
Google Analytics. http://id.loc.gov/authorities/names/n2008002694
|
|
Google Analytics fast |
| Subject |
Web usage mining.
|
|
Internet users -- Statistics -- Data processing
|
|
COMPUTERS -- General.
|
|
Web usage mining
|
| Form |
Electronic book
|
| ISBN |
9781119053132 |
|
1119053137 |
|
9781119053255 |
|
1119053250 |
|
