Experiment!: Website Conversion Rate Optimization With A/B and Multivariate Testing - Softcover
Synopsis
Testing is a surefire way to dramatically improve your website’s conversion rate and increase revenue. When you run experiments with changes to design or content, you’ll quickly discover which changes better motivate your users to take action. This book shows how to learn from your customers’ behavior and decisions, and how their responses reveal the strengths and weaknesses of your site. It will show you how to make websites that work harder and convert better.
Experiment! will inspire you to challenge assumptions and start experimenting right now. You will:
- Learn how to approach experiments to improve conversion
- Understand the various methods of testing including A/B and multivariate
- Discover experiment ideas, and go beyond optimization to innovation
- Recognize the UX and design implications of experimenting
- Learn to analyze data and deliver results
Experimenting changes the way you think about design and the way you work. It helps prevent the loudest voice from deciding direction; instead, through an experiment, you’ll ask the most important voices--your customers--“What do you think?”
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About the Author
Colin McFarland is a UX designer and experimenter based in the U.K. His experiments using A/B and multivariate testing have delivered millions of dollars for some of the world’s biggest brands.
Review
From the back cover:
"Colin avoids pitching controlled experiments as a quick win. With his practical experience, he shares pros and cons, and the fact that when exposed to objective evaluations, very few ideas are as good as we initially hope."– Ron Kohavi, partner-level architect at Microsoft, previously director of data mining and personalisation at Amazon
"About this title" may belong to another edition of this title.
- PublisherNew Riders Pub
- Publication date2012
- ISBN 10 0321834607
- ISBN 13 9780321834607
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages157
- Rating
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