Disaggregate demand in the marketplace exists on a grid determined by the package sizes offered by manufacturers and retailers. While consumers may want to purchase a continuous-valued amount of a product, realized purchases are constrained by available packages. This constraint might not be...

User generated content in the form of customer reviews, blogs or tweets is an emerging and rich source of data for marketers. Topic models have been successfully applied to such data, demonstrating that empirical text analysis benefits greatly from a latent variable approach which summarizes...

Market basket data reflect purchases from multiple product categories, some of which are complements and others that are substitutes. Consumers are more likely to make joint purchases from categories that are complements, and less likely to make joint purchases from categories that are...

A common theme in the marketing literature is the acquisition and retention of customers as they trade-up from inexpensive, introductory offerings to those of higher quality. Standard models of choice, however, apply to narrowly defined categories for which assumptions of...

The use of adaptive designs in conjoint analysis has been shown to lead to an endogeneity bias in part-worth estimates using sampling experiments. In this paper, we re-examine the endogeneity issue in light of the likelihood principle. The likelihood principle asserts that all relevant...

Conjoint analysis is a survey-based method used to measure consumer preferences and predict demand for products that may not yet exist in the marketplace. The most frequently used form of conjoint analysis involves having respondents choose from among a relatively small set of offerings with...

Economies of scope in direct utility models exist when consumers encounter costs and inconvenience in purchase and consumption. Travel time, product acquisition, training, expertise, and skills are examples of factors that impact the ability of consumers to derive utility from offerings beyond...

This chapter provides an introduction to choice models based on the principle of direct utility maximization. Models of direct utility are characterized by specifications of the utility function and accompanying budget constraint that allows separation of what is gained (i.e., utility) from that...

Firms develop products by manipulating the attributes of offerings, and consumers derive utility from the benefits that the attributes afford. While the field of marketing has long been aware of the distinction between attributes and benefits, it has not developed methods for understanding how...

Distributional assumptions for random utility models play an important role in relating observed product attributes to choice probabilities. Choice probabilities derived with independent errors have the IIA property, which often does not match consumer behavior and leads to inaccurate source of...