E-Commerce: Customer Retention using Predictive Analytics

To analyze the customer retention rates in an E-Commerce business using predictive analytics techniques.

To identify factors impacting customer retention in the context of E-Commerce finance.

To develop predictive models to forecast customer churn and potential strategies to improve customer retention.

Collect and analyze relevant data on customer behavior, transactions, and financial performance.

Utilize predictive analytics tools and techniques to identify patterns and trends in customer retention.

Develop and evaluate predictive models to forecast customer churn and assess the impact of different strategies on retention rates.

Present findings and recommendations for improving customer retention in E-Commerce finance based on predictive analytics insights.