We present empirical generalizations about conditions under which marketing variables evolve or remain stationary. We first define evolution statistically and make the case why it is an important concept for increasing our understanding of long-run marketing effectiveness. We then briefly review...

Prior work in marketing has suggested that advertising —levels beneath which there is essentially no sales response—are rarely encountered in practice. Because advertising policies settle into effective ranges through early trial and error, thresholds cannot be observed directly, and...

The main objective of this paper is to provide a decision-support system of micro-level customized promotions, primarily for use in online stores. Our proposed approach utilizes the one-on-one and interactive nature of the Internet shopping environment and provides recommendations on . We...

This research aims to provide insights into the determinants of channel profitability and the relative power in the channel by considering consumer demand and the interactions between manufacturers and retailers in an equilibrium model. We use the Nash bargaining solution to determine wholesale...

The marketing literature has suggested two prominent decision mechanisms through which in-store display and feature advertising can affect brand choice, which I call and . The primary objective of this study is to propose an integrated brand choice model that incorporates these two possible...

This article introduces a newly discovered property of discrete-choice models, which I call the invariant proportion of substitution (IPS). Like the independence from irrelevant alternatives (IIA) property, IPS implies individual behavior that is counterintuitive in the context of choice among...

The multinomial probit model of brand choice is theoretically appealing for marketing applications as it is free from the “independence of irrelevant alternatives” property of the multinomial logit model. However, difficulties in estimation have restricted its widespread use in marketing....

We propose and test a new approach for modeling consumer heterogeneity in conjoint estimation based on convex optimization and statistical machine learning. We develop methods both for metric and choice data. Like hierarchical Bayes (HB), our methods shrink individual-level partworth estimates...

In this paper we develop a model relating market share to average costs. We start with a theoretical model of the factors that affect the firm's average cost curve, partitioning these factors into (a) measurable firm and competitive environment characteristics, and (b) unobserved factors that...

We develop a comprehensive utility maximizing framework to study the impact of marketing variables on the category purchase, brand choice and purchase quantity decisions of households for frequently purchased packaged goods. The model allows for dependence among the three decisions while...