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Predictive Analytics for Customer Churn in E-commerce: A Data-driven Approach

Published on the September 28, 2023 in IT & Programming

About this project

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In today's highly competitive e-commerce landscape, retaining customers is paramount to sustained business success. Customer churn, the rate at which customers stop doing business with a company, can significantly impact an e-commerce business's revenue and profitability. To address this challenge, our project aims to develop a predictive analytics solution that leverages data-driven approaches to identify and mitigate customer churn in the e-commerce industry.

Category IT & Programming
Subcategory Data Science
Project size Small
Is this a project or a position? Project
Required availability As needed

Delivery term: Not specified

Skills needed

Data Structures System Programming Data Entry Statistics

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