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Web Analytics: An Hour a Day | 
 enlarge | Author: Avinash Kaushik
Publisher: John Wiley & Sons
Category: Book
List Price: £19.99
Buy New: £8.99
You Save: £11.00 (55%)
New (45) Used (10) from £8.99
Rating:  6 reviews
Sales Rank: 2739
Media: Paperback
Edition: Pap/Cdr
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: May 29, 2007
Availability: Usually dispatched within 1-2 business days
Shipping: International shipping available
Condition: Ships from U.S.A., to anywhere in the United Kingdom! Orders only take 7-10 days! We specialise in service to the U.K. and only ship airmail.
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| Customer Reviews: Read 1 more reviews...
The best guide to actionable insights from data November 2, 2007
Web Analytics is a must read because it learns you how to view analytics the right way.
One of the hardest part when first diving into analytics is figuring out how to focus on the right data - the data that tells you what is happening with your site.
One of the first questions Avinash gets you to focus on is: "What's the purpose of your web site?" Your analytics strategy should be very much aligned with the answer to this question.
With this attitude towards the data, we can "infer the intent" of the user - ultimately, inferring is the best you can do with this type of data. Inferences are important, as they will inform strategy. If the strategy is then met with improved performance of the site, your confidence in the data and its interpretation grows. If not, you should re-analyze and re-strategize. Early in the book, Avinash identifies this as your top priority in analytics. In fact, he says, "Is it a bit extreme to dump clickstream in favor of measuring outcomes first? Yes. Necessary? You bet."
The challenge is that the quality of the information available from your traditional web analytics tools is too poor for you to analyze outcome. In order to make sense of the data, we need broader research and analysis, so that we can find relationships between the different types of data, and infer meaning from them.
To achieve this, Avinash enriches the data with Focus group analysis, continuous surveys, multivariate testing, etc.
Avinash also integrates competitive intelligence in his interpretation of the data. Services such as comScore and Hitwise can provide direct information about what your customers are doing.
It is a great book that teaches you all this from the ground up, and goes into amazing detail. I recommend it wholeheartedly.
Excelent book on on line marketing and web analitycs September 22, 2007
Avinash has written a book that covers in depth everything related with web analytics from the perspective of an user centered web management and marketing. Excelent reference book to undestand what are users doing in your web in qualitative terms not just as a "clickstream" of numbers in a list.
A must if you want to learn what web analytics really is.
More than just analytics, this is a manual for customer focused web marketing August 24, 2007
3 out of 3 found this review helpful
This is the best hands-on guide to web analytics and the importance of analytics to any on-line marketing project I have yet found.
The book balances both the high-level aspects of web analytics -- the philosophy, if you like -- with a huge amount of specific, practical, how-to information. It may seem like a big book, but I don't see how it could have been any shorter and still delivered so much.
Fortunately, it's an extremely readable book. I like the language and the style of the book. Avinash's enthusiasm for the subject comes singing out of the pages. He makes the subject seem fun and he sustains that over hundreds of pages. That's a remarkable achievement when you consider the length.
I have a shelf full of business or self-improvement books which try to make themselves readable and accessible by interjecting folksy anecdotes full of people with made up names every few pages. It's a very common approach. The result is often repetitious fluff. This book is very different. There is no padding of that kind: the examples given are all very clearly based on personal experience and are there for good reason. They are informative. They are not simply structural devices.
The language itself is also distinctive and entertaining. I believe that Avinash grew up listening to the BBC World Service. Although it's an American book, there are notes in the language which echoe a different world in a way which I find refreshing.
I cannot recommend this book highly enough. One of my colleagues has a copy where most of the pages are thick with highlighter ink. The quality of information is that high. It really is that good. If you can buy only one book on the subject, this is the one to get.
Web Analytics: A must for ever web team August 1, 2007
3 out of 3 found this review helpful
I'm not a web analyst. Nor am I a statistician. However I've just finished reading `Web Analytics: An Hour a Day' and I feel like I could do a pretty good job of the former without being daunted by the latter.
It all comes down to one concept - that of a data driven decision making culture. Or put another way, how to maximise the return on all your hard work. Avinash describes it wonderfully and provides lots of useful advice about how to achieve it.
If that sounds dull, fear not - Avinash does a much better job of making it interesting and exciting.
If you're a web analyst, you shouldn't need this review to convince you to buy the book - read some of Avinash's blog posts and you'll soon work it out for yourself. If you're not an analyst but you're involved in managing a website or sites you'll find it incredibly refreshing and useful (failing that make sure at least one person one your web team has read it).
Personally I can't recommend it highly enough. You don't have to read it cover to cover, and even the most experienced web professionals should find plenty to think about.
Web Analytics has a new textbook July 6, 2007
Avinash Kaushik has the amazing ability to make complex ideas simple. I find myself quoting from his book when trying to explain key concepts to colleagues. And though the book runs to 420 pages it's very accessible. I highly recommend this book to anyone who has a blog or a website or anyone interested in how the best of the best in 2007 are using online data to make sense of what people are doing on the web and how to improve their experiences.
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