Market Response And Marketing Mix Models

Market Response and Marketing Mix Models takes a forward-looking perspective identifying research opportunities related to market response and marketing mix models falling under four broad areas: - "New" or under-studied inputs and/or "richer" measures of inputs constructs. - Explicitly accounting for the process linking inputs to outputs - "New" or under-studied dependent variables - Under-studied or emerging contexts. Each section covers three broad areas related to marketing mix models - data issues and requirements, methodologies (i.e., traditional econometrics; Bayesian methods; structural models), and substantive findings. As quantitative information about markets and marketing actions has become widely available, modern marketing is presented with both a challenge and an opportunity: how to analyze this information accurately and efficiently, and how to use it to enhance marketing productivity. Market Response and Marketing Mix Models describes the tools needed for achieving these objectives.

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.

This book focuses on marketing graphics, figures, and visual artifacts discussed in marketing theory in order to explain and discuss the marketing concepts visually and open a door to future predictions of the evolution of such marketing concepts. Marketing concepts are, by nature, abstract and there is a need for approaches that provide a clear picture of such concepts and concrete and hands-on knowledge tools to students, scholars, and practitioners. Furthermore, the recent rising importance and popularity of marketing metrics make visualization of such important marketing phenomena possible. Visualizing or concretizing of marketing data is more important than ever as the usage and presentation of such enormous amounts of data requires visual representation. Thus, the book provides collection of such marketing visualization examples that can help marketing scholars and students to make sense of marketing concepts and their data, so that they can develop clearer and winning marketing strategies.

A successful marketing manager needs to be able to use different media channels to reach specific audiences, and know through campaign research and evaluation, how the component parts of integrated brand marketing are working. This book explores this criteria.

Includes bibliographical references and index.

The Handbook of Marketing Research comprehensively explores the approaches for delivering market insights for fact-based decision making in a market-oriented firm.

The concept of modeling market response is introduced and supported by a set of Lotus 1-2-3 spreadsheets that provide marketing decision makers with rapid sensitivity analysis and instant graphics. The accompanying software is designed to evaluate the impact of various marketing policies on sales and profitability. By translating equations into graphic representations, it makes sophisticated marketing models accessible to marketing professionals and students who do not have extensive quantitative training. The software is designed for IBM PCs and compatibles, and runs with Lotus 1-2-3, Version 1.A or 2.0.