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

McFarland, Colin

ISBN 10: 0321834607 / ISBN 13: 9780321834607

Edité par New Riders, 2012

A propos de cet article

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Détails bibliographiques

• Titre: Experiment!: Website conversion rate optimization with A/B and multivariate testing
• Éditeur: New Riders
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 0321834607
• ISBN à 13 chiffres: 9780321834607
• Reliure: Paperback
• État de l'article: Very Good

A propos de ce titre

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?”

À propos de l?auteur

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.