We will use "Click Stream Data" to show the power of Hadoop. Let us first understand what is Click Stream Data.
Click Stream Data:
Click Stream Data is the data about a customer's clicking behaviour on a Web page.
Example IP address of the user, date and time stamp etc. This data is typically stored in the form of semi-structure web logs.
As web is becoming a main channel for reaching customers and prospects, Click Stream Data generated by websites has become very important.
Bounce Rate is the percentage of visitors to a particular website who navigate away from the site after viewing only one page.
"A rising bounce rate is a sure sign that your homepage is boring or outdated".
The conversion rate is the percentage of users who take a desired action. The archetypical example of conversion rate is the percentage of website visitors who buy something on the site.
Example: An e-commerce site is visited by 100,000 people during the month of April. During that month, 2,000 users purchased something from the site. Thus, the site's conversion rate is 2,000/100,000 = 2%.