Preface to Web Analytics

Web analytics generally refers to the use of web data for the study and online pattern interpretation. Most users are comfortable with the idea of interacting with the website, a non-human structure, which gives them access to information and allows them to perform various operations.The number of people who visit a website and the type of activity they conduct while using that website is recorded consistently using different types of instruments so that the website developers can analyze which aspects are interesting and which ones need to be modified. This systematic approach to finding out more about users of your website is broadly known as web analytics. Web analytics is used to assess the effectiveness of the content placed online. Broadly, the types of metrics measured by web analytic instruments include the number of people who visit a website, number of pages viewed, number of clicks, etc.

Off-site web analytics                                                                                                   

The popularity and the attention the website gathers on the internet outside the sphere of the website’s own operations is measured by off-site web analytics. This information provides a guideline regarding the status of the website on the internet, its audience, visibility and buzz.                                                                          

On-site web analytics

On-site web analytics are particularly important for commercial purposes where businesses want to know exactly the worth of their investment. The most widely used tool for measuring the on-site response of users is Google Analytics.

Two methods are used for managing on-site analytics. Firstly, the log file method was used in which the server records the requests of the visitors in a log file and then these can be read. Another method known as page tagging is used more often at present. In page tagging, when a page loads and when something is clicked on the website, this is registered in the web analytics by embedding JavaScript in the code. 

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Reference: https://www.emarketinginstitute.org/ , Google, freepik

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