Published Paper Details:

- Internet has become the part of our day to day life, in which social media plays a major role by becoming one of the important aspects of digital marketing. Through social media, millions of information is shared among people. Thus it has become the more impacting media. Social media has a power to influence people in multiple ways, it is highly used as a marketing strategy. It is also an easy way to connect with customers and business sector. When an organisation posts advertisements on social media, the response of the advertisement depends on the parameters considered. To increase the traffic of the business, various parameters like number of views, product rating etc., are taken and analysed using five different algorithm techniques. And also with the respondent�s data, accuracy of five different algorithms is concluded. With the rapid growth of social media many people are connected to internet providing an outlet for companies to reach buyers. For publishers it is important to get maximum profit from the advertisements posted. In order to reach out to large audience, an organisation ends up posting the same ads on different social media. Hence in order to predict and conclude on the basis of large amount of data k-nearest neighbour, k-means, k-medoids, linear model, SVR algorithms are used to analyse the advertisements