When managers and researchers encounter a dataset, they typically ask two key questions: (1) which model (from a candidate set) should I use? and (2) if I use a particular model, when is it going to likely work well for my business goal? This research addresses those two questions, and provides...

Stand-alone marketing models are well-suited to deal with different behavioral features such as variation in transaction frequency (customer heterogeneity with latent classes), recency and attrition (“buy ‘till you die” models), and more general changes in customer transaction rates...

Many datasets, from different and seemingly unrelated marketing domains, all involve "paths" - records of consumers' movements in a spatial configuration. Path data contain valuable information for marketing researchers because they describe how consumers interact with their environment and make...

We introduce a new methodology that can capture and explain differences across a series of cohorts of new customers in a repeat-transaction setting. More specifically, this new framework, which we call a vector changepoint model, exploits the underlying regime structure in a sequence of acquired...

Customers often stockpile reward points in linear loyalty programs (i.e., programs that do not reward stockpiling) despite several economic incentives against it (e.g., the time value of money). We develop a mathematical model of redemption choice that unites three explanations for why customers...

While single-brand reward programs encourage customers to remain loyal to that one brand, coalition programs encourage customers to be “promiscuous” by offering points redeemable across partner stores. Despite the benefits of this “open relationship” with customers, store managers face...

We examine grocery shopping paths through the lens of the Traveling We examine grocery shopping paths through the lens of the quot;Traveling Salesman Problemquot; (TSP), a classic paradigm from the field of operations research. We define the quot;TSP-optimalquot; path for each shopper as the...