The authors show how to use marketing dashboards to view market dynamics from multiple perspectives, maximize accuracy, and "triangulate" to optimal solutions. You’ll discover high-value metrics for virtually every facet of marketing: promotional strategy, advertising, and distribution; customer perceptions; market share; competitors’ power; margins and pricing; products and portfolios; customer profitability; sales forces, channels, and more.
For every metric, the authors present real-world pros, cons, and tradeoffs — and help you understand what the numbers really mean. Last but not least, they show you how to build comprehensive models to support planning — and optimize every marketing decision you make.
Marketing Metrics, Third Edition will be invaluable to all marketing executives, practitioners, analysts, consultants, and advanced students interested in quantifying marketing performance.
Neil T. Bendle is an Assistant Professor of Marketing at the Ivey Business School, Western University, Canada. He holds a PhD from the Carlson School of Management, University of Minnesota, and an MBA from Darden. He has been published in journals such as Marketing Science and the Journal of Consumer Research. He has nearly a decade’s experience in marketing management, consulting, business systems improvement, and financial management. He was responsible for measuring the success of marketing campaigns for the British Labour Party.
Paul W. Farris is Landmark Communications Professor and Professor of Marketing at The Darden Graduate Business School, University of Virginia, where he has taught since 1980. Previously he was on the faculty of the Harvard Business School and worked in marketing management for Unilever. Professor Farris’s research has produced award-winning articles on retail power, the measurement of advertising effects, and marketing budgeting. He has published many articles in journals such as the Harvard Business Review, Journal of Marketing, Journal of Advertising Research, and Marketing Science. He is currently developing improved techniques for integrating marketing and financial metrics and is coauthor of several books, including The Profit Impact of Marketing Strategy Project: Retrospect and Prospects. Farris’s consulting clients have ranged from Apple and IBM to Procter & Gamble and Unilever. He has also served on boards of manufacturers and retailers and as an academic trustee of the Marketing Science Institute.
Phillip E. Pfeifer, Richard S. Reynolds Professor of Business Administration at The Darden Graduate Business School, currently specializes in direct/interactive marketing. He has published a popular MBA textbook and more than 35 refereed articles in journals such as the Journal of Interactive Marketing, Journal of Database Marketing, Decision Sciences, and the Journal of Forecasting. In addition to academic articles and a textbook, Mr. Pfeifer is a prolific case writer, having been recognized in 2004 as the Darden School’s faculty leader in terms of external case sales, and in 2008 with a Wachovia Award for Distinguished Case Writer. His teaching has won student awards and has been recognized in Business Week’s Guide to the Best Business Schools. Recent consulting clients include Circuit City, Procter & Gamble, and CarMax.
Dr. David J. Reibstein is the William S. Woodside Professor and Professor of Marketing at the Wharton School, University of Pennsylvania. Dave has been on the Wharton Faculty for more than two decades. He was the Vice Dean of the Wharton School, and Director of the Wharton Graduate Division. In 1999-2001, Dave took a leave of absence from academia to serve as the Executive Director of the Marketing Science Institute. He previously taught at Harvard, and was a Visiting Professor at Stanford, INSEAD, and ISB (in India). Dave was the Chairman of the American Marketing Association. He has a radio show, Measured Thoughts with Dave Reibstein, on SiriusXM Radio.
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.
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.
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.
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.
And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.