In today's retail world, competition is fierce as stores strive to understand their top customers and find ways to keep them coming back. With an explosion of data available, savvy retailers are realizing its potential for profit. They're putting more effort into using this data effectively, integrating it into their decision-making processes to gain an edge and boost profits.

In this Competition, you have to address the issue of churn prediction and customer retention in the retail industry. This would not only help retailers plan retention strategies for their most profitable customers but also design effective marketing programs for the future. In this way, companies can retain their valued customers and make cost-effective marketing strategies solely targeted to the right customer base.

Consumer churn occurs when a buyer discontinues his or her dealings with an organization. In retail, a buyer is considered churned once his/her last transaction exceeds a certain amount of time. Once a profitable consumer becomes a churn, the organization experiences a loss not just in lost profits but also in the cost of making new marketing plans and strategies to attract a new customer base.