Web Analytics For Dummies

Description

Web Analytics For Dummies answers two key questions for anyone undertaking a Web analytics project: How do I get the data I need? How do I apply the data to improving my Web site? The authors are experienced Web analysts and designers with experience both in examining the trends of an existing site and redesigning based on research.

About the Author

Pedro Sostre is a New Media entrepreneur who's done everything from consulting to design for a major dot-com to launching his own Web development and consulting firm. He's managed web projects for companies like CBS Sportsline, BMW Motorcycles, Reebok and Motorola. Pedro is also a columnist for Revenue magazine and is regularly quoted in media outlets, including Microsoft.com, Web Host Industry Review, and Internet advertising hot spot Adotas. Pedro's is also a Yahoo! Search Marketing Ambassador and Google Adwords Qualified Professional.

Table of Contents

Book Review

Introduction

Part I: Getting Started with Web Analytics

Chapter 1: Understanding Web Analytics

Chapter 2: Steering Clear of Common Terminology Confusion

Chapter 3: Getting Your Hands Dirty with Web Data

Part II: Choosing the Right Web Analytics Solution

Chapter 4: Web Analytics Tools You Can Use

Chapter 5: Investing in Web Analytics Tools

Chapter 6: Discovering Niche Solutions

Part III: Searching for Statistical Treasure

Chapter 7: Taking Out the Trash

Chapter 8: Reviewing Site Referrers

Chapter 9: Getting to Know Your Visitors

Chapter 10: Identifying Your Most Important Pages

Chapter 11: Key Performance Indicators Insights

Part IV: Knowledge Is Power -- Making Analytics Work for You

Chapter 12: Sifting through Search Data

Chapter 13: Increasing Web Site Visibility

Chapter 14: Revisiting Your Online Advertising Strategy

Chapter 15: Chronicling Your Web Analytics History

Chapter 16: Fine-Tuning Your Web Site

Part V: The Part of Tens

Chapter 17: Ten Web Analytics Myths, Mistakes, and Pitfalls

Chapter 18: Ten Reasons Why Web Analytics Will Revolutionize E-Business

Chapter 19: Ten Web Analytics Best Practices 325

Appendix: Web Analytics Glossary

Index