Prediction of Customer Preference Marketing Strategy in E-Marketing using Data Analytics Method

Abstract

Recently most of the merchants can sales their product through E-marketing to achieve their marketing goal. E-marketing company has used various E- marketing strategies to making an interest to the customer to buy a product. In existing methodology mostly customer can choose the product based on customer rating. Recently apart from customer rating user can prefer the various marketing strategies to buy a product. Data mining is the process of extract the information from huge data set. Classification is a technique to classify the data which is belongs to a given dataset. In the classification techniques used some constraints to classify the given data into different classes. Some major kinds of classification algorithms such as k-nearest neighbour classifier, Naive Bayes, Support Vector Machine are used for classification. While considering these approaches, analyse the development of E-marketing through E-commerce Company using data mining classification techniques to analyse this study. Nowadays E-Commerce companies can learn more about their customers to develop more effective marketing strategies so for increase sales and decrease costs. The main goal of marketing is to reach more customers through the channels where they spend their time reading, searching, shopping, and socializing online.