Marketing Analytics Spring 2019

A series of joint projects on topics related to marketing analytics. Cases covered included:

• Ford Ka customer segmentation using a k-means approach
• Movie Scheduling using a topic modeling approach
• Orange Juice Pricing using log-Linear Regression
• Freemium Music Subscription conversion using Logistic Regression and Decision Trees
• Cell Phone Customer Churn estimation and marketing initiative using Logistic Regression and Decision Trees

A solo project on:

• Telemarketing campaign to encourage bank deposits using Logistic Regression.

Built With

• Anaconda 3.7
• R Studio
• Python Jupyter Notebooks
• Microsoft Office

Authors

Daniel Lesser, Joseph Standerfer, Jasmine Kuar, Spriha Gupta

Acknowledgments

• Alan Montgomery (Carnegie Mellon University Professor)