My dissertation contributes to bridging the gap between traditional marketing models and Big Data. Applying traditional marketing models to analyze Big Data can be challenging since many of the traditional models are too complex to be applied to Big Data. In the first essay, I develop a marketing model that is both managerially insightful and computationally practical. In the second essay, I propose a spatial extension of the model to address retail location selection problems.