In today’s competitive marketplace, advertising has a central role in developing brand image, whether at corporate, retail or product level. In this paper, we present novel recommendation system whose goal is to provide real-time and static on-demand services for advertisers and publishers to decide where to place advertisements so as to achieve maximum marketing values. The proposed system will perform big data analytics to enable advertisement companies to move away from intuitive advertising to data based decision making by collecting advertising data from various social network sites along with demographic information at different locations, and establish an innovative model for advertising and trend prediction. The objective of this system is to help market researchers to gain insights on concerned data and allow advertisers and publishers to reduce their cost of placing advertisements while improving their campaign effectiveness.