WEB ANALYTICS FOR DUMMIES(R)

Performing your first Web site analysis just got a whole lot easier. Web Analytics For Dummies offers everything you need to know to nail down and pump up the ROI on your Web presence. It explains how to get the stats you need, then helps you analyze and apply that information to improve traffic and click-through rate on your Web site. You'll discover:
What to expect from Web analytics
Definitions of key Web analytics terms
Help in choosing the right analytics approach
How to collect key data and apply it to site design or marketing
Techniques for distinguishing human users from bots
Tips on using Google and other free analytics tools
Advice on choosing pay and subscription services
A detailed and accurate analysis is crucial the success of your Web site. Web Analytics For Dummies helps you get it right the first time—and every time.

Pedro Sostre is a respected Internet business and marketing guru and a columnist for Revenue magazine.
Jennifer LeClaire is a veteran e-commerce journalist and the weekly analytics columnist for newsfactor.com.

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.
Appendix: Web Analytics Glossary.
Index.