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...

Cohort-level retention rates typically increase over time, and the beta-geometric (BG) distribution has proven to be a robust model for capturing and projecting these patterns into the future. According to this model, the phenomenon of increasing cohort-level retention rates is purely due to...

Several researchers have proposed models of buyer behavior in noncontractual settings that assume that customers are “alive” for some period of time and then become permanently inactive. The best-known such model is the Pareto/NBD, which assumes that customer attrition (dropout or...

Understanding how customers' service portfolios evolve over the course of their relationship can provide multi-service firms, such as telecommunication and financial service providers, with useful guidance for managerial issues such as customer valuation and targeting. Complicating matters,...

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...

This paper posits a new framework to model the trial of and repeat purchasing of a new product. While much research has examined underlying shifts in consumer purchasing patterns, the typical assumption has been that the underlying purchasing process remains the same although the purchasing...

The widespread popularity and use of both the Poisson and negative binomial models for count data arises, in part, from their derivation as the number of arrivals in a given time period assuming exponenitally distributed interarrival times (without and with heterogeneity in the underlying base...

We present analyses of an extraordinary new dataset that reveals the path taken by individual shoppers in an actual grocery store, as provided by RFID (radio frequency identification) tags located on their shopping carts. The analysis is performed using a multivariate clustering algorithm not...

2019 AXIOM BUSINESS BOOK AWARD WINNERFeatured in Forbes, NPR's Marketplace, and a Google Talk, The Customer Centricity Playbook offers "actionable insights to drive immediate value," according to Neil Hoyne, Head of Customer Analytics and Chief Analytics Evangelist, Google. How did global gaming...

The growth of the “social” Web has resulted in the enormous growth of what is referred to as user-generated content, or UGC. UGC takes the form of product reviews, descriptions of product usage, “homemade advertising,” blogs, and other consumer-initiated contributions. Following a...