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.

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.

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.

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O'Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.

The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.

This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.

Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O''Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O'Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

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.

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.

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.

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.

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.

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O'Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.

The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.

This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.

Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O''Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

The Handbook of Marketing Analytics showcases analytical marketing methods and their high-impact real-life applications in marketing management, public policy, and litigation support. Fourteen methods chapters present an overview of specific marketing analytic methods in technical detail while twenty-two case studies present thorough examples of the use of each method.The contributors featured are recognized authorities in their fields. Multidisciplinary in scope this Handbook covers experimental methods, non-experimental methods, and their digital-era extensions. It explores topics such as Classical and Bayesian econometrics, Causality, Machine learning, Optimization, and recent advancements in Conjoint Analysis.This standout collection of analytical methods and application will be useful and educational for all readers, whether they are academics or practitioners in marketing, public policy, or litigation.Contributors include: M. Akemann, S. Albers, P. Albuquerque, G.M. Allenby, V. Altuglu, A.N. Angulo, A. Ansari, L. Ash, M. Bakker, R. Befurt, T.C. Borek, D. Borrego, B.J. Bronnenberg, Z. Chance, P.K. Chintagunta, M.G. Dekimpe, R. Dhar, D. Dzyabura, R.K. Fair, D.G. Fiebig, M. Fischer, A. Goldfarb, N.J. Goldstein, R. Guha, D.M. Hanssens, M. Hatzis, J.R. Howell, K. Huskey, R. Jacobson, D. Iacobucci, I. Ionova, S. Iyer, V.K. Kanuri, A. Lambrecht, A.Y. Lee, D.R. Lehmann, Y. Li, L. Ma, M.K. Mantrala, N. Mizik, L. O'Laughlin, D. Onul, A. Oza, K. Pauwels, E. Pavlov, K.I. Powers, V.R. Rao, R. Reed-Arthurs, D.M. Ringel, J. Roberts, P.E. Rossi, R. Schwabe, J. Silva-Risso, B. Skiera, J.H. Steckel, O. Toubia, M. Trusov, C. Tucker, A.M. Tybout, K. Wertenbroch, A.G. White, S. Woodhouse, H. Yoganarasimhan, J.D. Zona

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.

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.