Churn Analysis in E-commerce: Understanding Customer Retention

In the ever-evolving landscape of e-commerce, understanding customer churn is paramount. Churn analysis is a vital tool for e-commerce businesses to identify why customers leave and what can be done to retain them. In this blog, we delve into the intricacies of churn analysis in the e-commerce sector, using a comprehensive dataset to unravel how different features affect customer retention.

In this blog post, we will be examining an e-commerce dataset to analyze customer churn. To initiate our data analysis, we’ll begin by importing all essential libraries. Following that, we will load the data into a DataFrame, which we will refer to as ‘df’.

Fetch the first few rows of the dataset