How to build a customer churn prediction model
A series of three articles published on Medium.com exploring how to build a customer churn prediction model.
These are focused on how the business requirements and planned use will impact the approach to the model development and the choices made in the process, rather than the technical details of the algorithms or the code.
Part 1 - What is churn, anyway?
Addresses how different stakeholders might think of churn in different ways and how to identify these.
Part 2 - Which is the right algorithm, anyway?
Focuses on how to select the right algorithm based on the definition of churn and how it is measured.
Discusses how to make the results of the churn prediction model actionable.
Part 3 - How do I choose the right action, anyway?
Kenneth A Jensen
A data science practitioner who will deliver results at every stage of the analytics lifecycle






