Customer Churn Prediction

Background:

A Marketing Analytics team at company XYZ wants to ensure successful and profit-making rollout for their streaming platform in a new geographical region
The specs shared with us on the available subscription plan for customers are 30/90 days of free trial, following which they will need to pay based on their plan of selection
The team has the task of coming out with effective metrics to ensure the customers signing up, stay with the company beyond the free trial, thereby generating revenue
In such a scenario, understanding and tracking Customer Churn Rate as a key metric could help us be proactive in our engagement with our customers and potentially save a churn before it could even happen
In the code notebook provided below, steps towards detailed Exploratory Data Analysis (EDA) and Machine Learning Modeling to predict churn has been shown in Python
While the presentation deck covers storyline, presentation of insights to action and how the predictions of churn from the machine learning model can translate to profit in marketing revenue!