Brand and Product Management

The universality of design perception and response is tested using data collected from 10 countries: Argentina, Australia, China, Germany, Great Britain, India, The Netherlands, Russia, Singapore, and the United States. A Bayesian, finite-mixture, structural equation model is developed that identifies latent logo clusters while accounting for heterogeneity in evaluations. The concomitant variable approach allows cluster probabilities to be country specific.

We develop a model of customer channel migration and apply it to a retailer that markets over the Web and through catalogs. The model (1) identifies the key phenomena required to analyze customer migration, (2) shows how these phenomena can be modeled, and (3) develops an approach for estimating the model. The methodology is unique in its ability to accommodate heterogeneous customer responses to a large number of distinct marketing communications in a dynamic context.

Michael Dwork and his team are developing a line of environmentally-friendly disposable dinnerware. They want to use conjoint analysis to determine consumers' preferences and willingness to pay. Would you modify their questionnaire in any way?

We develop a structural demand model that captures the effect of out-of-stocks on customer choice. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for flexible substitution patterns which are based on utility maximization principles and can accommodate categorical and continuous product characteristics. The methodology can be applied to data from multiple markets and in categories with a relatively large number of alternatives, slow moving products and frequent out-of-stocks.

We consider a revenue management, network capacity control problem in a setting where heterogeneous customers choose among the various products offered by a firm (e.g., different flight times, fare classes, and/or routings). Customers may therefore substitute if their preferred products are not offered. These individual customer choice decisions are modeled as a very general stochastic sequence of customers, each of whom has an ordered list of preferences. Minimal assumptions are made about the statistical properties of this demand sequence.

Whether a business is large or small, its brand is probably its most important and valuable asset. How a brand is managed has tremendous impact on an organization's ability to attract and hold customers, achieve high revenue and profits, and ensure future success. The most powerful brands are worth billions of dollars, but to build a powerful brand at any level requires time, effort, discipline, and understanding the way brands work.

The massive costs of health care ($1.7 trillion and counting) and the problems posed by various diseases (e.g., AIDS, obesity, diabetes, cancer, heart disease, mental illness) are well known and documented. People worry more about their personal health care costs than losing their jobs, being a victim of a violent crime, or terrorist attacks. As a consequence, massive efforts to improve knowledge about detection, prevention, and treatment have been undertaken. In addition, there is growing realization that health communication strategies need to be tailored to specific segments.

This article explores the use of marketing metrics by a sample of Vietnamese firms, providing an example of the use of marketing metrics in a "transition" economy as it grows and becomes more market and marketing driven. The analysis reports usage frequency and then develops a set of "correlation chains" linking firm characteristics, metric use, and various indicators of performance. Vietnamese managers generally report that several types of metrics are used. Ownership structure and industry also impact which metrics are utilized.