Abstract: For billions of people around the world, the Internet has become an essential component of their everyday social and business lives. As the new millennium begins, we are experiencing perhaps the most dynamic and revolutionary changes of any era in the history of advertising. These changes have been driven by advances in technology, and developments have led to the dramatic growth of communication through interactive media, particularly the internet. Advertisement on social media like facebook, twitter, teachstreet and my opera are becoming essential area of advertisement. Internet advertising is a form of marketing and advertising which uses the internet to deliver promotional marketing messages to consumers. Fast retrieval of the relevant information from databases has always been a significant issue. There are many techniques are developed for this purpose; in among data clustering is one of the major techniques. Data mining algorithm is good marketing strategies to analyses needs and lifestyles of people. A data mining technique- clustering technique is used for finding target users and their needs further more graphical representation is required to show different needs of people. This paper emphasizes on finding target users depending on their lifestyles, designing point to point plan, creation of marketing group and analysis of data.

Keywords: E-Marketing, Data mining, Preprocessing, Fuzzy C-Means Clustering.