A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.
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Updated
Dec 18, 2022 - Jupyter Notebook
A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.
This project analyzes online advertising performance using Exploratory Data Analysis, Hypothesis Testing, and Regression Analysis. It examines key metrics like click-through rates, conversion rates, and ad costs to uncover insights for optimizing ad spend and improving campaign efficiency. Built with Python, Pandas, Scikit-Learn, and Statsmodels.
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