Exploration into increasing customer spending and reducing overhead to cut costs.
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Updated
Aug 8, 2020 - Jupyter Notebook
Exploration into increasing customer spending and reducing overhead to cut costs.
A Linear Regression Project was hired to analyze customer data for an Ecommerce company in New York City, deciding whether to focus on their mobile app experience or website.
Customer aggregated data dataset provided by New Supermarkets International which was aimed to reveal data patterns, conduct customer segmentation and predict customer response to the subscription offer. Through data exploration negative entries in the customer spending column were revealed.
Customer-analytics models for Laplace: churn for subscription businesses, purchase-and-spend models for non-contractual businesses, and customer lifetime value
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