Predicting Likelihood to Purchase of Users for E-commerce

The gap between the marketer and the customer is increasing in the recent years. The marketers are not able to accurately segment customers. Predictive modelling and auto-optimization technologies will be disrupting the digital customer experience delivery space. Being able to predict the future behavior of online and mobile visitors, the gap between marketers and customers will decrease. In this study, with the clickstream data that have been collected from the users on the websites, machine learning models will be created to predict each and every users’ likelihood to purchase, so that the marketers can target only those users, in order to have higher ROI’s in advertising world.