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Practical Web Analytics for User Experience
How Analytics Can Help You Understand Your Users
Web analytics provide incredible insight into what users are doing on websites, enabling you to better understand users and complement other reasearch methods.
Michael Beasley (Author)
9780124046191, Elsevier Science
Paperback, published 14 August 2013
256 pages, 175 illustrations (175 in full color)
23.4 x 19 x 1.7 cm, 0.55 kg
"…the book is [a] manual, albeit an excellent constructed manual, for anyone looking to learn about Google Analytics… The book in turn will help you learn how to use Web Analytics data… All in all a good book to have, especially if you are a freelancer looking to expand his/her service portfolio." --Actual Insights blog, October 26, 2013 "User experience designer Beasley explains to fellow practitioners how they can add web analytics to their tool kit and have an additional source of data about users." --Reference & Research Book News, October 2013
Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.
Chapter 1 IntroductionChapter 2 Analysis ProcessChapter 3 How it WorksChapter 4 GoalsChapter 5 Visitor AnalysisChapter 6 Traffic AnalysisChapter 7 How People Use ContentChapter 8 Clickpath AnalysisChapter 9 SegmentationChapter 10 Putting it TogetherChapter 11 TestingChapter 12 Measuring Behavior within PagesChapter 13 AB TestingChapter 14 ProfilesChapter 15 CultureChapter 16 Conclusion
Subject Areas: Human-computer interaction [UYZ], Artificial intelligence [UYQ]