archie-cm/Churn-Analysis-Ecommerce-Customer
The objective of this project to is to predict customer churn, loss opportunity and provide recommendations to the business team so the company can implement a customer persona in retention strategy and can monitoring throught dashboard interactive.
This project helps e-commerce businesses understand why customers stop buying their products or services. By analyzing your customer data, it identifies key factors influencing churn and predicts which customers are likely to leave. The output includes actionable recommendations for retention strategies and an interactive dashboard for ongoing monitoring, designed for business and marketing teams.
No commits in the last 6 months.
Use this if you are an e-commerce business looking to reduce customer churn, prevent revenue loss, and implement targeted retention strategies.
Not ideal if your business is not in e-commerce or you are not dealing with customer-level transaction and behavior data.
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Jupyter Notebook
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Last pushed
Dec 08, 2022
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