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Web Analytics

 

   Web analytics is a generic term meaning the study of the impact of a website on its users. Ecommerce companies and other websitepublishers often use Web analytics software to measure such concrete details as how many people visited their site, how many of those visitors were unique visitors, how they came to the site (i.e., if they followed a link to get to the site or came there directly), what keywords they searched with on the site's search engine, how long they stayed on a given page or on the entire site and what links they clicked on and when they left the site.

How to use Web Analytics

Recommended books on Web Analytics:

1. Web Analytics: An Hour A Day by Avinash Kaushik

   This is the first book by an in the trenches practitioner of web analytics. It provides a unique insiders perspective of the challenges and opportunities that Web Analytics presents to each person in your organization that touches the web. Avinash Kaushik is a expert in Web Analytics.  In this best selling book he goes beyond Web Analytics concepts and definitions to provide a step-by-step guide to implementing a successful web analytics strategy.The book includes an innovative CD that will include over five hours of insightful audio Podcasts, a 45 minute video presentation, PowerPoint presentations, and other useful web analytics resources.Web Analytics: An Hour a Day is the ultimate resource for anyone needing a step-by-step, task-based guide to creating and maintaining a modern web analytics strategy and framework.

 

 

 

 

 

2.Web Analytics 2.0 by Avinash Kaushik

   The Web, digital marketing, and advertising have been revolutionized in the last few years, yet the approach to using data has remained largely the same as a decade ago.In his second book web analytics thought leader Avinash Kaushik presents the next-generation framework of web analytics in this exciting book that will dramatically enhance the ability of your organization to think smart and move fast.Avinash lays out specific strategies and execution models to evolve from simply leveraging clickstream tools to incorporating the insightful elixir of qualitative data, experimentation and testing, and competitive intelligence tools. 

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