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...

"A customer-base audit is a systematic review of the buying behavior of a firm's customers using data captured by its transaction systems. It will help you answer questions such as: How healthy is your customer base? How realistic are your growth objectives? How do your customers differ in terms...

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...

Multi-service providers, such as telecommunication and financial service companies, can benefit from understanding how customers’ service portfolios evolve over the course of their relationships. This can provide guidance for managerial issues such as customer valuation and predicting...

Pharmaceutical companies face the problem of how to project the persistency patterns of patients who are taking their manufactured medications – i.e., how to determine the percentage of patients who will continue to refill a given prescription on a timely basis. The authors have developed a...

In this paper we present a parsimonious model for the analysis of underreported Poisson count data. In contrast to previously developed methods, we are able to derive analytic expressions for the key marginal posterior distributions that are of interest. The usefulness of this model is explored...