- Paperback: 480 pages
- Publisher: Sybex; 1 edition (June 5, 2007)
- Language: English
- ISBN-10: 0470130652
- ISBN-13: 978-0470130650
- Product Dimensions: 7.3 x 0.9 x 9.2 inches
- Shipping Weight: 1.6 pounds
- Average Customer Review: 4.1 out of 5 stars See all reviews (104 customer reviews)
- Amazon Best Sellers Rank: #135,459 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Web Analytics: An Hour a Day 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Prepare for your professional certification with study guides and exam prep tools from Wiley. See more
Customers who bought this item also bought
What other items do customers buy after viewing this item?
From the Back Cover
Develop a Successful Web Analytics Strategy
A Step-by-Step Guide
Learn web analytics the right way with this unique, thoroughly modern guide to today's web analytics challenges and opportunities. Written by an in-the-trenches practitioner, this book goes beyond concepts and definitions to challenge prevalent thinking about the field and provide a step-by-step guide to implementing 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.
Learn the pros and cons of data collection methodologies
Find out how you can stop counting page views and still get a rich understanding of your customers
Discover how to identify valuable metrics with the "three layers of so what" test
Optimize your organizational structure and choose the right analytics tool
Understand and apply advanced analytics concepts, including SEM/PPC analysis, the power of segmentation, conversion-rate best practices, and others
Leverage quick-start solutions for blogs and e-commerce, support, and small business websites
Learn the key ingredients of a great experimentation and testing platform
Use competitive-intelligence analysis to glean insights and drive actions
You'll also find:
Ten steps to turbocharge your web analytics
Seven steps for creating a data-driven culture in your organization
Six ways to measure the success of a blog
Three secrets behind making web analytics actionable
Ten signs of a great web analyst
Valuable CD Included
The innovative CD includes more than three hours of insightful audio podcasts, a 45-minute video, PowerPoint presentations that mirror key topics in the book, and other useful analytics resources.
About the Author
Avinash Kaushik is the author of the highly rated web analytics blog Occam's Razor (www.kaushik.net/avinash). He is an independent consultant and currently the Analytics Evangelist for Google. Prior to that he was the Director of Web Research & Analytics for Intuit, where he was responsible for the business, technical, and strategic elements of the analytics platform that supported more than 70 Intuit websites. Avinash is a frequent speaker at such conferences as Emetrics Summits and Ad-Tech, and he is often quoted in the media as a web metrics expert.
Avinash is donating all proceeds from this book to two charities, The Smile Train and Doctors Without Borders.
Browse award-winning titles. See more
If you are a seller for this product, would you like to suggest updates through seller support?
Top Customer Reviews
NOTE: This was published May 29th 2007, I read it in 2016/2017.
The tone of the book was perfect; It was professional with a splash of humor here and there. The humor really helped me to stay engaged in the reading.
The information itself is really helpful. Like I said above, some of it is outdated, but many, many times I found myself jumping on my computer to try something that the text suggested. There is a lot of really great insight in this book!
Some of the main topics and passages that really stuck with me include:
* Analysts must have a customer-centric view that enables them to think like customers.
* Customer-centric web design is key- you must shift from "the site visitor needs to do what I want them to do" to "the site visitor is doing whatever they wanted to do" and having success.
* Report creators and analysts are different- the ability to see the big picture is what an analyst does.
* Everything starts with objectives and desired outcomes; "Tell me your objectives and I'll tell you what insights I can provide with the data I have."
* The upward trend in user wariness with paid campaigns puts the focus back on SEO.
* Data will never tell you the why.
* A dashboard=1 single page, any long and that's a report.
* PPC can deliver visitors, but often it comes at a great cost and is suboptimal for building long-term relationships with customers... you are "renting" traffic.
* "In reality, a while bunch of traffic for most websites comes from the top 20 or so key phrases."- are you optimizing for those 20?
* The three greatest survey questions ever: 1) What is the purpose of your visit to our website today? 2) Were you able to complete your task today? 3) If you were NOT able to complete your task today, why not?
Tips I also loved included:
* The So-What Test: Ask every metric that your report on the question "So what? three times. If you don't get an answer by the third ask, you have the wrong metric.
* Check "PPP Campaign Cannibalization Rates" to make sure you aren't paying for traffic you already got organically in the past- test by going dark with PPC.
* Not every visitor is there to buy, so don't focus on single-goal or website travel funnels. That's not how people make decisions.
Please keep in mind that these are only the lessons and URL's that really stood out to me. This book is full of hundreds of others.
I would highly recommended purchasing this book so you can highlight and add tabs to mark important pages that you want to go back to again later on!
The Business trinity, created by Avinash, is a very powerful business process that can radically improve the performance of online efforts. It is also the spirit of the book. Avinash describes the trinity as follows: "The goal of the Trinity mindset is to power the generation of actionable insights. Its goal is not to do reporting. Its goal is not to figure out how to spam decision makers with data. Actionable Insights & Metrics are the uber-goal simply because they drive strategic differentiation and a sustainable competitive advantage (...) The Trinity mindset empowers you to Understand the customer experience so explicitly that you can influence the right customer behavior which will lead to win-win outcomes for the company and its customers."
The book is indispensable to those who want to understand and practice the art and science of web analytics. It is organized in a very friendly way, turning the reading into a pleasant break amid the rush of day-to-day duties; like a challenging conversation. It is rich in examples, facilitating the understanding of the `what', `how', and `why' of online measurement strategies.
I have profited from Avinash's writings in various situations; the practical advices given in the book are clear and bring great results. I warmly recommend reading this book and following the author's blog.
Kaushik does a great job with the format. As is the fact with any subject you are committed to knowing, reading the information and applying it in small pieces is the best way to learn. The bulk of the content is arranged by subject and segmented into daily readings allowing you to focus and build upon the knowledge one brick at a time.
The book is easy to read, full of practical application, and one that will be tattered, bookmarked, and referenced often.
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.
Most Recent Customer Reviews
This is marketing at its best; I ended-up buying two different versions of the same book...Read more