The book begins with an overview that includes an international case in marketing. The following six chapters comprise the first part of the book, which delineates the advantages and disadvantages of secondary data, and reveals precisely how to evaluate their quality. These chapters identify differences between internal and external secondary data, including specific types of each. The second part begins with an overview that also includes an actual case in marketing. The following five chapters contain comprehensive listings of specific secondary data information sources, categorized according to the following: sources of information specific to marketing; global/worldwide information sources; sources of information regarding American Census Data; information sources about industries, corporations, and finances; and general business information sources.
Marketing Metrics: The Definitive Guide to Measuring Marketing Performance, Second Edition , is the definitive guide to today’s most valuable marketing metrics. In this thoroughly updated and significantly expanded book, four leading marketing researchers show exactly how to choose the right metrics for every challenge and expand their treatment of social marketing, web metrics, and brand equity. They also give readers new systems for organizing marketing metrics into models and dashboards that translate numbers into management insight.
When originally published, this was the first book to be published in the UK or USA devoted solely to the important modern management tool of industrial marketing research.
This book explains that the primary reason that experiments are valuable to assist decision making involves the concept of causality--a relationship in which a change in one variable causes a change in another variable (i.e., cause-and-effect relationship). Three criteria required to properly conduct an experiment that allows inferences about cause-and-effect relationships with reasonable certainty are: (1) evidence of association, (2) appropriate timing, and (3) elimination of alternative explanations.
Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied.
The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including:
- 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots)
- 136 multiple choice questions for tests
This is augmented by in-depth discussion of topics including:
- Data management and statistical packages
- Hypothesis testing
- Cluster analysis
- Structural equation modelling
A concise presentation of marketing research fundamentals.
Basic Marketing Research uses an Excel add-in software for data analysis, an integrated case, and experiential learning exercises to present a concise introduction to market research fundamentals. This text also provides readers with resources they can use in their careers.
The ISBN above is just for the standalone book, if you want the book/IBM® SPSS® 18.0 Integrated Student Version you shoud order the ISBN listed below.
0132490633 / 9780132490634 Basic Marketing Research with Excel & IBM® SPSS® 18.0 Integrated Student Version Package
Package consists of
0132151715 / 9780132151719 IBM® SPSS® 18.0 Integrated Student Version
0135078229 / 9780135078228 Basic Marketing Research with Excel
The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.
An ideal resource for busy managers and professionals seeking to build and expand their marketing research skills, The Market Research Toolbox, Fourth Edition describes how to use market research to make strategic business decisions. This comprehensive collection of essential market research techniques, skills, and applications helps readers solve real-world business problems in a dynamic and rapidly changing business atmosphere. Based on real-world experiences, author Edward F. McQuarrie gives special attention to business-to-business markets, technology products, Big Data, and other web-enabled approaches. Readers with limited time or resources can easily translate the approaches from mass markets, simple products, and stable technologies to their own situations. Readers will master background context and the questions to ask before conducting research, as well as develop strategies for sorting through the extensive specialized material on market research.
Walle shows that to understand the evolution of modern social theory, one must come to grips with the work of three towering pioneers: Immanuel Kant, Friedrich Hegel, and Karl Marx, and that researchers must understand and appreciate the contributions and influence of pioneers in order to avoid the myopic vision of our own time. Praising Hegel's metaphor of cultures as living organisms and his forging of the concept we now call National Character, Walle points to Hegel as the pioneering social structuralist and as the man who, as a negative example, inspired the poststructuralists to action. Walle ends with a well reasoned analysis of poststructural thought in marketing-consumer research, and suggests that conflict theory--an alternative to poststructural methods that evolved from social structural roots--is often more appropriate than poststructural analysis in marketing and consumer research. Relating both conflict theory and poststructural analysis to the actual needs of marketing consumer researchers, Exotic Visions in Marketing Theory and Practice provides unique, practical insights for those who teach market research as well as practitioners who pursue it for a living.
The Essentials of Marketing Research guides the student in designing, conducting and interpreting marketing research. This comprehensive textbook covers the full range of topics, including:Secondary research and data mining Internet marketing research Qualitative and exploratory research Statistical analysis Marketing research ethics
With learning objectives at the beginning of each chapter, a host of cases and a comprehensive companion website, this book offers a range of tools to help students develop and test their research and analytical skills.
The book begins by considering what performativity is and how this concept is used in the marketing literature. It then considers three themes concerning the performativity of marketing that emerge from the contributions, before presenting ten empirical studies that ask how, why, and to what effect marketing theories are used and ‘performed’ in marketing practice. The book also summarises the implications of three themes and sketches research areas for further developing our understanding of the performativity of marketing. This book was originally published as a special issue of the Journal of Marketing Management.
This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier.
The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.
The problem is not information overload as some contend, says Samli, but data overload. Data have almost no value in and for themselves. What's important is how data are used to create the information marketers need in order to make knowledgeable decisions. Thus, Samli's newest book dwells on the art and science of information generation and on how to convert it to practical knowledge. Without information and knowledge -- and another essential ingredient, wisdom -- the firm faces great risk in the marketplace and its survival probabilities in the long run are very low, says the author.
Samli starts by presenting the key elements that contribute to an information gap in the use of data for marketing decisions. He describes the evolution of information in decision making, the distinction between data and information, and the reasons why data gathering and processing have become so sophisticated and difficult to use. Samli goes on to discuss data collecting techniques, the dimensions and uses of internal data and their parameters, and identifies the best but most underrated data gathering method: observation. Surveys, experimentation, and research are covered next, including attitude and motivation research, with a careful analysis of how the research operation, as well as its products, should be managed. He goes on to explain how information is elicited from data and how it should be used; then, the various control mechanisms for information systems overall, and ends with his own agenda for the improvement of the entire information-driven marketing decision process. A clear, systematic presentation that marketing managers, and their MIS colleagues (who appreciate the need to make data and information decision-maker friendly), will find valuable and immediately beneficial.
This book, the first text dedicated to the topic, explains market sensing simply and practically and demonstrates how it can benefit researchers. It teaches non-mainstream and alternative research methods which facilitate innovative research design, and achieves deep insights into the mindsets of consumers. The methods explored in this book include:
emotional scaling ; discourse analysis; consumer ethnography; social media networks; narrative and story telling; gamification.
With a wealth of case studies and pedagogy to aid student learning, as well as online teaching aids including PowerPoint presentations and video content, this ground-breaking textbook is an essential resource for anyone that wants to expand their repertoire of marketing research methods to create a research project that will be original and insightful.
Sample scales include brand personality, brand authenticity, consumer–brand relationships and brand equity. Each scale is included with a clear definition of the construct it is designed to benchmark, a description of the scale itself, how to use it and examples of possible applications in managerial and academic contexts.
A much-needed reference point, this is a unique, vital and convenient volume that should be within reach of every marketing scholar's and manager's desk.
This book takes you through the market research process from initial problem identification through research design, consideration of alternative methodologies, briefing an agency, questionnaire design and approval, to managing the project, analysis and presentation of results.
Whether you use an outside research agency or your own market research or consumer insight department, spending a week to understand the process will give you unique skills which will ensure that you get the research results you need that will address the marketing questions you have.
Each of the seven chapters in Market Research In A Week covers a different aspect:
- Sunday: Market research and project design
- Monday: The research brief and research proposal
- Tuesday: Qualitative market research
- Wednesday: Quantitative market research
- Thursday: Questionnaire and topic guide design
- Friday: Research analysis
- Saturday: Report writing and presentation skills
Qualitative Marketing Research clearly explains the use and importance of qualitative methods, clarifying the theories behind the methodology and providing concrete examples and exercises which illustrate its application to Management Studies and Marketing.
This book is intended for all students of marketing who are required to complete their studies with a dissertation or research project.
The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
How organizations can deliver significant performance gains through strategic investment in marketing
In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing.Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization In-depth discussion of the fifteen key metrics every marketer should know Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending In-depth examples of how to apply the principles in small and large organizations Free downloadable ROMI templates for all examples given in the book
With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time.
Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.
With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.
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.
Although most businesses pay lip service to putting customers first, few actually listen to the voice of the customer and use it as a tangible asset. In this book, J. D. Power and Associates provides an insider’s perspective on some of the most successful companies on the planet. Corporate giants such as Toyota and Staples and local legends like Mike Diamond Plumbing all use customer satisfaction as their key to market dominance.
Satisfaction opens the vault on years of J. D. Power data, quantifying the elusive links between satisfaction and customer loyalty, market share, and profits. The book provides extensive coverage of the varying touchpoints of consumer satisfaction—covering every type of business from service providers to product manufacturers—and shows companies in detail how to make a commitment to consumers at the highest levels and translate this commitment into strategies and practices.
For any business that wants to reap the rewards that come when they truly put the customer first, this is the ultimate guide.
Market Research Methodologies: Multi-Method and Qualitative Approaches brings together innovative techniques and novel designs that aid in the development of multi-method studies and investigations. Focusing on vital concepts such as data validity, triangulation, and reliability, this book is a fundamental reference source for PhD students, graduate students, and academics within the business field who wish to understand how these methods can be employed to extract data from particular environments.