Data Science Blog

Today, I was asked in an interview. What is web analytics? Tell me all you know about Web Analytics. This may not be a perfect answer, but gives a direction to answer the same. Web analytics is the measurement, collection, analysis and reporting ofweb data for purposes of understanding and optimizing web usage.[1][dead link] Web analytics is not just a tool for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a web site. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It helps one to estimate how traffic to a website changes after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research. There are two categories of web analytics; off-site and on

Building Block Terms:         Page, Page Views, Visits, Unique Visitors, New Visitor, Repeat Visitor, Repeat Visitor & Returning Visitor Visit Characterization:         Entry Page, Landing Page, Exit Page, Visit Duration, Referrer, Internal Referrer, External Referrer, Search Referrer, Visit Referrer, Original Referrer, Click-through, Click-through Rate/Ratio, Page Views per Visit Content Characterization:         Page Exit Ratio, Single-Page Visits, Single Page View Visits (Bounces), Bounce Rate Conversion Metrics:         Event, Conversion Here very briefly are the definitions (the real gold is in the comments that you see in the document for each definition, make sure you  download it  and read it carefully): Page:  A page is an analyst definable unit of content. Page Views:  The number of times a page (an analyst-definable unit of content) was viewed. Visits/Sessions:  A visit is an interaction, by an individual, with a website consisting of one or more requests

 SUMMARY Four vendors command the bulk of the Web analytics market, but others continue to innovate. This document describes the market's dynamics and profiles the leaders. Overview Demand for Web analytics tools continues to expand, even as the number of top-tier global vendors has shrunk to four. This update explains the market dynamics and provides an overview of the leading vendors. Key Findings For large or Web-channel-centric organizations, Adobe, Google, IBM and Webtrends represent the top tier of global vendors to evaluate. The Web analytics market has expanded to include additional digital channel optimization products. New vendors are emerging with specialized offerings, but they have not yet achieved significant market share. Recommendations Find out the requirements of marketing, content development, Web operations and customer support teams before evaluating analytics vendors. Set a budget for tools and customization services that is in line w