For example, as the consumers almost perpetually enter into a store and move towards the right, some high margin products tend to the placed there. And, as it is very well known that the customer buy fresh dairy products regularly, they are put at the back of the grocery stores. A suitable store design as well as precision tracking of the customers is not unknown – however, it is a technical implementation on web, lowered cost, comprehensiveness and ubility on web are new.
With the respect to behavior of click stream, the numbers of researchers have also argued that the understanding background demographics of the internet users is now no longer required, and not much predictive. In most studies of online india consumer insights, the background demographics account basically for less than 9-10% of observed behavior. Many think instead that vital predictors of online consumer behavior are session characteristics and click stream behavior of online people. This theory is like, such information will allow marketers to have a better understanding of the consumer needs and their budget for the required product or service, which allows marketers to mainly target their communications.
The marketing through the click stream takes maximum benefits of the internet environment. It assumes no previous knowledge of the customers and can be created dynamically as the consumers use the web or the the interent. It offers the most comprehensive information that can be properly transformed into beneficial data, thereby offering maximum profit and enabling to get maximum result with respect to ROI.Also See: Consumer Behavior, Online Consumer, Click Stream, Significant Factors, Online, Consumer, Behavior