Nowadays, online shopping has become a trend. In online shopping, it is very difficult to analyze and do prediction of the customer whether he will buy the product or not. So to predict that Naïve Bayes is used. Data mining extracts the information from a large amount of data which stores in multiple heterogeneous databases. This model extracts information and makes predictions about customers shopping behavior and helps to analyze click streams of e-customers on a digital marketplace. After collection of the dataset from the database, data mining is applied to the dataset collected and online customer behavior is predicted. Naïve Bayes is applied to the dataset which will predict the customer behavior and also predict about the customer’s interest about the item.