Tagging the Customers for Writing Business Logics on Python

In the previous segment, we sorted all the customers based on their LTVs. Another interesting task that has been assigned to us is that of creating a column that can tag each customer as having a “high LTV” or a “low LTV.” With this information, we can directly perform individual analysis on their tags.

In the forthcoming video, you will learn how to write such a function. Let’s watch the video.

So, in the video, we created a function that can tag our customers as having high LTVs and low LTVs. As a last step, Favio will be creating a class, in which he will be putting all the functions that were created in this session. He will show us how to create this class in the next video.

So, in this segment, we created a class, in which we added all the Python functions that were built in this session. Also, you learned how we can access this class to run the different functions.

This brings us to the end of this optional session. In the next session, we will move to Tableau, where we will build different visualizations to understand the churn and LTVs, and, later, we will create a Tableau story out of it.