The primary objective of the project is to obtain the effective outreach for Starbucks’ marketing campaigns by determining the offers that should be targeted to different groups of customers based on the transactions and demographics data provided. In order to achieve this, we would perform customer segmentation to segment customers into groups that respond best to a particular marketing campaign. We would also like to study the likelihood of a customer responding to a purchase offer and to determine the possible level of response or user actions like offer received, offer viewed, transaction, offer completed etc using a multi-class classification model. Through this model, we hope to determine the best offer types for each customer by the likelihood of response. Hence, we want to focus on Customer Development and Retention related issues using these customer analytics techniques.