Use case: Predict CLV - Python Tutorial

- [Instructor] In this video, we are going to see how we can predict the customer lifetime value for new customers based on models that we can base on existing data. The data for this exercise is in the file Data-04-05-Customer-Lifetime-Value.csv. Let's take a look at the data that we have. We have one line per customer for existing mature customers. These are customers who have been with us for at least two to three years. For data, we have the first six months of revenue generated by these customers from month one to month six, and also the overall customer lifetime value. CLV could be like a three year overall revenue that they generated. This is something you decide based on the length to which your customers stay with your business. This is the data we are going to use to build a linear regression model that can be used to predict the customer lifetime value. The notebook for this exercise is NB-04-05-Predicting-CLV. Here we start out by importing a set of Python, Pandas, and…