A web analytic is in essence is a quantum indicator of the behavior of the visitors of website. It is indicative of the performance of the website and from these reports and trends it is possible to implement more effective programs, for enhanced sales.
Web analytics are based on Log files and java script and the third method is the combination of the two whereby more relevant data is obtained.
While the log files of server will log several files for each visit page tagging script will as a whole seen by the visitor.
Unique or new visitors is recognizable by the log file like the time spent on the website and the favorite key word phrase .to arrive at the website and the country of the origin of the visitor, file type etc. Data transfer is recorded is maintained in the log file with precision and by viewing these in web analytics programs viz Webalizer and Awstats which analyse raw log file data in graphics.
Log file web analytic records failed visits too whereas page tagging takes into account only when a web page is displayed.
To critically analyze the strength and weaknesses of the web site the feedback provided by the web analytics of visitor is invaluable. From these data it is possible find which pages are visited most and which key words are most related to the web site concerned.
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