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📈 Unlock the power of trustworthy A/B testing and lead innovation like the tech giants!
This authoritative guide from Cambridge University Press distills expert knowledge from top tech companies on running trustworthy online controlled experiments (A/B tests). It equips professionals and students with practical methods to design, analyze, and scale experiments, ensuring data-driven decisions that accelerate innovation while avoiding common statistical pitfalls.

| Best Sellers Rank | #94,928 in Books ( See Top 100 in Books ) #119 in Databases & Big Data #10,360 in Higher & Continuing Education Textbooks |
| Customer Reviews | 4.7 out of 5 stars 373 Reviews |
A**E
Masterpiece on Experimentation!!
This book is a masterpiece on Experimentation!!
A**H
Very easy to follow
Amazing book for someone who is interested in analytics space. Must read for folks who conduct experimentation or are looking for similar roles in big tech.
S**H
The bible of A/B testing
Finally got to purchase and read this book after following one of its author's ( R Kohavi) and it didn't disappoint. If you are serious about learning that A/B testing isn't just about showing two different elements then you should definitely read this book as tells you how tests can sometimes by wrong if you don't follow the guidelines and even then there can be issues that need to be looked for. Does go into much more depth on running experimentation further in the book intended for more serious programs but has something for everyone but it is a good idea to have basic knowledge first. Plus the proceeds of this book goes to charity.
A**M
Not an easy read
This book is not an easy read at all. It contains multiple references that could have been included in an appendix or footnotes. The text is also not meant for beginners, as I often have to use AI to translate it into plain English to understand what the book is trying to convey.
L**M
Gut
Das Buch ist in mehrere Abschnitte unterteilt. Davon ist der erste ja für ein nicht technisches Ziel Publikum und die weiter hinteren Abschnitte für ein eher technisches Zielpublikum. Das bedeutet nicht, dass man als technisch orientierter mathematisch orientierte, der auch gerne verstehen möchte wie die Verfahren funktionieren nicht die ersten Teile lesen sollte denn hier sind sehr interessante Hintergründe und Grundlagen beschrieben. Im Wesentlichen kann man sagen, es gibt ein Abschnitt für den Manager, es gibt ein Abschnitt für den Engineer, gibt ein Abschnitt für Statistiker. Gutes Buch.
Trustpilot
5 days ago
2 weeks ago