Python Tutorial: Predicting Customer Churn in Python

Want to learn more? Take the full course at https://campus.datacamp.com/courses/marketing-analytics-predicting-customer-churn-in-python/ at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- Hello and welcome to this introductory course on Churn Modeling in Python! I am Mark Peterson, Senior Data Scientist, creator and maintainer of this course. I have worked closely in churn analytics across a variety of industries and countries ranging from credit card churn modeling in Latin America, to Cable TV cancelations in the US, and Saas cancelations in my current role. What exactly is Customer Churn? It is when an existing customer, user, player, subscriber or any kind of return client stops doing business or ends the relationship with a company. It can be defined in a variety of ways. Contractual churn, or when a customer is under contract for a service and decides to cancel their service. This can be found in Cable TV, and SaaS products. Voluntary churn is when a user voluntarily cancels a service and includes Prepaid Cell Phones, Streaming Subsriptions. Non-Contractual or when a customer is not under contract for a service is the next example of churn, and includes consumer loyalty at a retail location or online browsing. Finally involuntary churn, or when a churn occurs not at the request of the customer and includes, credit card expiration, or utilties being shut off by the provider. Most likely, you as a customer have cancelled a service for a variety of reasons including lack of usage, poor service, or better price. Being able to leverage this experience as well as your domain knowledge will help guide you in your churn modeling journey. In this course, you'll learn how to build a churn model from beginning to end. The data you will be using comes from a Cellular Usage dataset that consists of records of actual Cell Phone customers, and features that include specific features to a customer’s cell s