Authors:

Yunlei Tang

Date Created:

Not specified

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About Paper:

This project analyzes the factors that influence customer churn in a telecom company, such as the age of the customer, location of residence, marital status, etc. This is important for a B2C company to predict customer churn because it helps the company to identify and proactively reach out to customers at risk of churn and try to repair the relationship beforehand, reducing the risk of lower revenue for the business. I analyzed which factors have a greater impact on customer churn and brought to the company's attention which types of customers have a high probability of canceling their subscription service. I also built several models such as Lasso, Logistic regression, KNN, and Decision Trees to predict the probability of customer churn. This analysis is important because when the company predicts a high probability of customer churn, it can take action to avoid it.

Source:

Purdue University / 2023

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No topics listed

Co-authors:

Yunlei Tang