From the course: Predictive Customer Analytics
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Discover customer attrition patterns - Python Tutorial
From the course: Predictive Customer Analytics
Discover customer attrition patterns
- [Instructor] While analyzing the list of customers who left you, you noticed that Roger left after being with you for two years, while Jessica left you after just five months. What prompted them to leave? Is it the same reason or were there different reasons? Roger left when his contract expired, but Jessica canceled the contract. What prompted them to do so? Is that a general pattern for those age groups or specific to the experience they had with you? You need to deep dive into the data you have so that you can find causal relationships. Knowing root causes will help your business then adapt to those and perform corrective and preventative actions. The goal of this use case is to establish causal relationships between various events and attributes from the customers who left you. The data for this exercise is again customer history records for all customers who left your business. The history needs to be summarized by…
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