Sticky Ad Analysis—Linear Regression

Abstract

People are exposed to many advertisements and marketing strategies daily. How many of them do people remember a few hours later? Business and Advertising Professionals refer to the seads as “sticky ad,” because they stick with viewers long after they’ve been exposed to them. The process done to remove superficial attributes and keep the most influential attributes is called analysis. The objective of this project is to develop a system which will be suitable for clients and business tycoons to predict and advertise confidently. In this project we will theorize a way to use Data Science which will identify the important parameters for analysis. In this paper, by applying exploratory, predictive and regression analysis for forecasting behavior of Sticky Ad data set, we show that our proposed method is efficient for the clients to advertise products confidently. The analysis part of the project could also be applied to different data sets of various domains by changing the necessary variables.