Author: Dominique M. Hanssens
Publisher: Springer Science & Business Media
ISBN: 9781402073687
Category : Business & Economics
Languages : en
Pages : 524
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Book Description
This second edition of Market Response Models: -places much more emphasis on the basic building blocks of market response modeling: markets, data, and sales drivers, through a separate chapter. -splits the design of response models into separate chapters on static and dynamic models. -discusses techniques and findings spawned by the marketing information revolution, e.g., scanner data. -emphasizes new insights available on marketing sales drivers, especially improved understanding of sales promotion. -demonstrates methodological developments to assess long-term impacts, where present, of current marketing efforts. -includes a new chapter on sales forecasting. -adds mini-case histories in the form of boxed inserts entitled Industry Perspectives, which are primarily written by business executives. This book is truly the foundation of market response modeling.
Author: Dominique M. Hanssens
Publisher: Springer Science & Business Media
ISBN: 9400910738
Category : Business & Economics
Languages : en
Pages : 389
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Book Description
This book reports over a decade's worth of research on the development of empirical response models that have important uses for generating marketing knowledge and improving marketing decisions. Some of its contributions to marketing are the following: 1. It integrates state-of-the art technical material with discussions of its relevance to management. 2. It provides continuity to a research stream over 20 years old. 3. It illustrates how marketing generalizations are the basis of marketing theory and marketing knowledge. 4. It shows how the research can be applied to marketing planning and forecasting. 5. It presents original research in marketing. The book addresses both marketing researchers and marketing managers. This can be done because empirical decision models are helpful in practice and are also based on theories of response. Econometric and time series analysis (ETS) is one of the few areas in marketing where there is little, if any, conflict between the academic sphere and the world of professional practice. Market Response Models is a sequel to Marketing Models and Econometric Research, published in 1976. It is rare for a research-oriented book in market ing to be updated or to have a sequel. Unlike many other methodologies, ETS research in marketing has stood the test of time. It remains the main method for discovering relations among marketing variables.
Author: Dominique M. Hanssens
Publisher: Springer Science & Business Media
ISBN: 0306475944
Category : Business & Economics
Languages : en
Pages : 507
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Book Description
From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.
Author: Berend Wierenga
Publisher: Springer Science & Business Media
ISBN: 0387782125
Category : Business & Economics
Languages : en
Pages : 621
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Book Description
Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. The HANDBOOK OF MARKETING DECISION MODELS presents the state of the art in marketing decision models, dealing with new modeling areas such as customer relationship management, customer value and online marketing, but also describes recent developments in other areas. In the category of marketing mix models, the latest models for advertising, sales promotions, sales management, and competition are dealt with. New developments are presented in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets. Not only are the most recent models discussed, but the book also pays attention to the implementation of marketing models in companies and to applications in specific industries.
Author: Peter S.H. Leeflang
Publisher: Springer Science & Business Media
ISBN: 146154050X
Category : Business & Economics
Languages : en
Pages : 642
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Book Description
This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables.
Author: Peter S.H. Leeflang
Publisher: Springer
ISBN: 1493920863
Category : Business & Economics
Languages : en
Pages : 417
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Book Description
This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.
Author: Peter S. H. Leeflang
Publisher: Springer
ISBN: 3319534696
Category : Business & Economics
Languages : en
Pages : 725
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Book Description
This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.
Author: Gary L. Lilien
Publisher: DecisionPro
ISBN: 1412022525
Category : Business & Economics
Languages : en
Pages : 545
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Book Description
Accompanying CD-ROM contains ... "26 software programs, help files and tutorials."--Page 4 of cover.
Author: Steffen Jorgensen
Publisher: Springer Science & Business Media
ISBN: 3642457533
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
This volume contains a selection of papers that were presented at the International Workshop on Dynamic Competitive Analysis, held in Montr6al, Canada, September 1-2, 1995. The workshop was organized by the editors of the proceedings volume. The proceedings contain both "full papers" and shorter pieces, to be considered as "work in progress". The choice of a rather broad theme for the workshop was deliberate and done in order to attract researchers from different areas of the marketing science community that usually do not get together. Obviously, a volume like this cannot be exhaustive in the coverage of the dynamics of marketing competition but we are confident that it will convey to the reader an impression of what are the current themes in this field of research. The book should be useful to researchers in marketing science, applied game theorists, graduate students, as well as practitioners in marketing with an interest in methods and examples of dynamic competitive analysis.
Author: Thomas Url
Publisher: Springer Science & Business Media
ISBN: 3642997821
Category : Business & Economics
Languages : en
Pages : 245
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Book Description
The disappearance of central planned economies left politicians, researchers, consultants, and academics with an interest in economies in transition in vagueness about the actual state of the economy and its short and medium term prospects. This volume provides the reader with information on how to deal with the statistical shortcomings of economies in transition. Most economic variables published for these countries tend to encompass a short period of time or they possess a low measurement quality. Moreover, most of the series are subject to structural breaks, due to the change in the patterns of economic reactions over time. The contributions in this volume show various ways to solve or at least to lessen the before mentioned problems.
