Experiment!: Website conversion rate optimization with A/B and multivariate testing [NOOK Book]

Overview

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! ...

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Experiment!: Website conversion rate optimization with A/B and multivariate testing

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Overview

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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Editorial Reviews

From the Publisher
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

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Product Details

  • ISBN-13: 9780133040081
  • Publisher: Pearson Education
  • Publication date: 8/31/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 168
  • File size: 9 MB

Meet 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.
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Table of Contents

Part I: Getting Started
Chapter 1: On Experimenting
Chapter 2: On Approach
Chapter 3: On Method

Part II: Interlude
Chapter 4: On UX
Chapter 5: On Design
Chapter 6: On Ideas

Part III: Moving Forward
Chapter 7: On Analysis
Chapter 8: On Results
Chapter 9: Conclusion

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