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Programming Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity

Posted on 2010-03-16




Name:Programming Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
ASIN/ISBN:0470529393
Language:English
File size:10.6 Mb
Publish Date: 2009
ISBN: 0470529393
Pages: 504 pages
File Type: PDF
File Size: 10,6 MB
Other Info: Sybex
   Programming Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity

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Avinash Kaushik, "Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity"

Adeptly address today’s business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2.0 presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja!

Summary: Very well written and actionable

Rating: 5

This book was very useful for me. Recommended by a co-worker, I enjoyed reading this and learnt the importance of web analytics and what we were doing wrong in our web analytics implementation. It gave an excellent framework to apply to all web initiatives to accurately measure its value to the company. A great read.

Summary: Just plain great!

Rating: 5

Unlike many of the others who have reviewed this book, I barely knew what Web Analytics was when I purchased this book. Despite this lack of knowledge, I was hooked from Page 1. Avinash explains complex concepts in a way that is clear and even entertaining. In fact, the book is so compelling that I have decided to add Web Analytics my company's service offerings. I have gone to many different sources to enhance my understanding of the subject but I still find that Web Analytics 2.0 does the best job of explaining both the big picture and the nuances of Web Analytics.

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