customer churn
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Client Question:
The client has asked us to create a model that could support their managers to gain insights into churn, in order to act before their customers, leave.
Guiding Questions:
1. What is the data quality and which steps did you take to clean and structure the dataset (e.g., how did you handle outliers, missing values, etc.)?
2. For validation purposes the client would like to see some typical cross-sections of the data. For example, think of the following:
a) What is the average number of services consumers use?
b) What is the most popular service for senior citizens?
3. Which model did you use to gain insight into the customer churning behavior, and what are the determining factors for choosing this model?
4. Why are the customers churning and what are the most important factors?
5. Could you advise the client on how to act on these insights?
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