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Web Analytics: An Hour a Day

Web Analytics: An Hour a Day

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Author: Avinash Kaushik
Publisher: Sybex
Category: Book

List Price: $29.99
Buy New: $16.07
You Save: $13.92 (46%)



New (35) Used (17) from $15.95

Avg. Customer Rating: 5.0 out of 5 stars 59 reviews
Sales Rank: 1279

Media: Paperback
Number Of Items: 1
Pages: 480
Shipping Weight (lbs): 1.6
Dimensions (in): 9.1 x 7.4 x 1.2

ISBN: 0470130652
Dewey Decimal Number: 025.04
EAN: 9780470130650
ASIN: 0470130652

Publication Date: June 5, 2007
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Thankyou for looking at Bookscorner1. May have a remainder mark and shelf wear.

Editorial Reviews:

Product Description
Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line.

Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.


Customer Reviews:   Read 54 more reviews...

4 out of 5 stars Not enough GA application info   August 14, 2008
My only issue is that the book doesn't address how to use google analytics more. He gives a lot of suggestions, but there isn't enough guidance in actually how to use GA to pull the data he recommends.


5 out of 5 stars Gold Standard   July 31, 2008
 1 out of 1 found this review helpful

This book is amazing. If you think you knew everything or are in an analysis slump, just flip through this book and you'll find something new to analyze.


5 out of 5 stars Analytics for the intermediate user....   July 4, 2008
 1 out of 1 found this review helpful

I have used Web Side Story...moved to Omniture....also work with Google Analytics.....This book does a good job of getting away from the mountains of data, to provide a clear cut "THINK ABOUT WHAT THE ANALYTICS MEAN" on a business basis- definitely worth the time investment.


5 out of 5 stars Now this is what I call Web Analytics!   June 13, 2008
 2 out of 2 found this review helpful

I can consider myself as pretty noobish in the field of web analytics. I know SEO and usability, but web analytics has always been just looking at the number of visitors and pageviews. Until I received this book, because this book is a real eye-opener for the new comers to web analytics. It totally change your way of thinking about what web analytics is and how you can pull the best out of it.

I can't wait to finish it, which costs a lot of time by the way.

And students, you can consider this as a good step up to web analytics with theory plus hands on stuff. Like a real school book you learn everything you need from what to why. More than 400 pages long.

P.S. There is also a cd included with some nice stuff like a presentation from the writer, pdf and mp3 files with valuable information.



2 out of 5 stars Not analytics ... more data collection   May 28, 2008
 6 out of 8 found this review helpful

If you buy 'Web Analytics ...' looking for some guidance, or even a few ideas, as to analysis of your internet marketing/sales endeavors, you will be disappointed. This book is about data collection ... nothing more.

To Avinash Kaushik's credit he appears thorough. I did appreciate his flagging the limitations of data collected by the various methods. On the downside the book is repetitive and could have been better ordered. The '... Hour a Day' is appropriate, as that is about all a reader can risk in one sitting. The text makes an arduous read. If better structured, this book could have been half its length.

If I learned one thing, it is this. I'll architect my approach to web analysis, define the data I need, and then recruit an IT type to build the process to collect the data. Having read the book, I now know what data there can be. For this I'm grateful to the author.



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