Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers’ decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments.

Covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results.

Seminar paper from the year 2011 in the subject Communications - Public Relations, Advertising, Marketing, Social Media, grade: 1,3, AKAD University of Applied Sciences Stuttgart, language: English, abstract: "Conjoint analysis has become one of today’s most widely used marketing research tools. It goes beyond simple surveys, providing a more realistic approach to understanding customers attitudes, opinions, and behaviors." (Orme, 2010, p. 7) The author Orme (2010, p. 7) emphasises in his book the growing popularity of conjoint analysis in marketing research. According to Orme (2010, p. 1) the consumer preferences are changing constantly with an increasing speed. Therefore many marketing managers ask themselves, how they could asses client preferences? Which product characteristics are most important to the customer and what price brings the maximum profit? From Wilcox’s (2003, p. 1) point of view conjoint analysis gives answers to these most critical questions of marketing research. The conjoint analysis is a marketing research technique designed to help managers determine the value system of clients and potential customers (Wilcox, 2003, p. 1). Introduced as a fundamental measurement method by the mathematical psychologists Luce and Tukey (1964, p. 1) more than forty years ago, conjoint analysis presents combination of features in product profiles and ask people to rank or make choice among of them. Finally, the results can be used for new product design, targeting, pricing and market segmentation (Dolan, 1990, p. 1). However, there arises the question what is conjoint analysis really and why it has become so popular in contrast to other marketing research techniques? In order to answer these questions, section 2.1 defines the terms marketing and market research and outlines the contrast between them. Section 2.2 gives an overview of different preference measurement techniques before it deals with the conjoint analysis itself. Chapter 3 presents the main chapter of this assignment. At first, it gives a brief overview of the role of conjoint analysis in the marketing concept. The next two sections illustrate an exemplary conjoint analysis survey and show the usage of conjoint analysis for the design of marketing strategies. Moreover chapter 4 discusses the advantages and disadvantages of conjoint analysis. Finally chapter 5 summarizes the basic insights and gives a short perspective.

Seminar paper from the year 2011 in the subject Communications - Public Relations, Advertising, Marketing, Social Media, grade: 1,3, AKAD University of Applied Sciences Stuttgart, language: English, comment: Diese Seminararbeit wurde im Rahmen des berufsbegleitenden Master-Studiengangs "Wirtschaftsinformatik" erstellt., abstract: "Conjoint analysis has become one of today's most widely used marketing research tools. It goes beyond simple surveys, providing a more realistic approach to understanding customers attitudes, opinions, and behaviors." (Orme, 2010, p. 7) The author Orme (2010, p. 7) emphasises in his book the growing popularity of conjoint analysis in marketing research. According to Orme (2010, p. 1) the consumer preferences are changing constantly with an increasing speed. Therefore many marketing managers ask themselves, how they could asses client preferences? Which product characteristics are most important to the customer and what price brings the maximum profit? From Wilcox's (2003, p. 1) point of view conjoint analysis gives answers to these most critical questions of marketing research. The conjoint analysis is a marketing research technique designed to help managers determine the value system of clients and potential customers (Wilcox, 2003, p. 1). Introduced as a fundamental measurement method by the mathematical psychologists Luce and Tukey (1964, p. 1) more than forty years ago, conjoint analysis presents combination of features in product profiles and ask people to rank or make choice among of them. Finally, the results can be used for new product design, targeting, pricing and market segmentation (Dolan, 1990, p. 1). However, there arises the question what is conjoint analysis really and why it has become so popular in contrast to other marketing research techniques? In order to answer these questions, section 2.1 defines the terms marketing and market research and outlines the contrast between them. Section 2.2 gives an overview of diff

Conjoint analysis goes beyond simple surveys, providing a more realistic approach to understanding consumer attitudes, opinions, and behavior. Introduced as a fundamental measurement method more than forty years ago, conjoint analysis presents combinations of features and attributes in product profiles and asks people to rank or rate those profiles or to make choices among product profiles.

Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.