Marketing Models: Multivariate Statistics and Marketing Analytics, 4e - Tapa blanda

Iacobucci, Dr. Dawn

9781539926108: Marketing Models: Multivariate Statistics and Marketing Analytics, 4e

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ISBN 10: 1539926109 ISBN 13: 9781539926108

Editorial: CreateSpace Independent Publishing Platform, 2016

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(*Update: Issues re layout have been addressed, and syntax is included for SAS and SPSS.) Increasingly, marketers have to analyze massive amounts of customer data. Marketing models translate the data into information to use for fact-based strategic and tactical decisions. This book covers a breadth of marketing questions and their optimal marketing model for solutions.
Chapters include: 1) Introduction, 2) Marketing Segmentation and Cluster Analysis, 3) Brand Choice and Logit Models, 4) Measuring Customer Attitudes and Factor Analysis, 5) Drivers of Customer Satisfaction and Path Models, 6) Perceptual Maps and Multidimensional Scaling, 7) New Products and Conjoint Analysis, 8) ROI, Experiments, and ANOVA, 9) Diffusion Models and Forecasting, 10) Word-of-Mouth and Social Networks, 11) Marketing Models: Classic Models, Big Data, to infinity and beyond, 12) SAS, 13) SPSS.
FYI: Kindle version is not available on Kindle Paperwhites (but is available on most other Kindles).
About the Author: Dawn Iacobucci is Professor of Marketing at Vanderbilt University (previously Kellogg, Arizona, and Wharton). She is author of Marketing Management 6th ed., Mediation Analysis, Analysis of Variance (ANOVA), and coauthor with Gilbert Churchill on the lead text Marketing Research: Methodological Foundations.

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(*Update: Issues re layout have been addressed, and syntax is included for SAS and SPSS.) Increasingly, marketers have to analyze massive amounts of customer data. Marketing models translate that data into information to use for fact-based strategic and tactical decisions. This book covers a breadth of marketing questions and their optimal marketing model for solutions.Chapters include: 1) Introduction to Marketing Models. 2) Marketing Segmentation and Cluster Analysis. 3) Brand Choice and Logit Models. 4) Measuring Customer Attitudes and Factor Analysis. 5) Drivers of Customer Satisfaction and Path Models. 6) Perceptual Maps and Multidimensional Scaling. 7) New Products and Conjoint Analysis. 8) ROI, Experiments, and ANOVA. 9) Diffusion Models and Forecasting. 10) Word-of-Mouth and Social Networks. 11) Marketing Models: Classic Models, Big Data, to infinity and beyond. 12) Introduction to SAS, 13) Introduction to SPSS.About the AuthorDawn Iacobucci is Professor of Marketing at Vanderbilt University (previously Sr. Associate Dean at Vanderbilt, Kellogg (1987-2004), Arizona (2001-2002), and Wharton (2004-2007)). Her research has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, the Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, the Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks. She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, and Kellogg on Integrated Marketing. She is author of Marketing Management, MM, Mediation Analysis, Analysis of Variance (ANOVA), and coauthor with Gilbert Churchill on the lead Marketing Research text.

Rese�a del editor

Increasingly, marketers have to analyze massive amounts of customer data. Marketing models translate that data into information to use for fact-based strategic and tactical decisions. This book covers a breadth of marketing questions and their optimal marketing model for solutions. Chapters include: 1) Introduction to Marketing Models. 2) Marketing Segmentation and Cluster Analysis. 3) Brand Choice and Logit Models. 4) Measuring Customer Attitudes and Factor Analysis. 5) Drivers of Customer Satisfaction and Path Models. 6) Perceptual Maps and Multidimensional Scaling. 7) New Products and Conjoint Analysis. 8) ROI, Experiments, and ANOVA. 9) Diffusion Models and Forecasting. 10) Word-of-Mouth and Social Networks. 11) Marketing Models: Classic Models, Big Data, to infinity and beyond. 12) Introduction to SAS, 13) Introduction to SPSS. About the Author Dawn Iacobucci is Professor of Marketing at Vanderbilt University (previously Sr. Associate Dean at Vanderbilt, Kellogg (1987-2004), Arizona (2001-2002), and Wharton (2004-2007)). Her research has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, the Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, the Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks. She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, and Kellogg on Integrated Marketing. She is author of Marketing Management, MM, Mediation Analysis, Analysis of Variance (ANOVA), and coauthor with Gilbert Churchill on the lead Marketing Research text.

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Editorial: CreateSpace Independent Publishing Platform
A�o de publicaci�n: 2016
Idioma: Ingl�s
ISBN 10: 1539926109
ISBN 13: 9781539926108
Encuadernaci�n: Tapa blanda
N�mero de edici�n: 4
N�mero de p�ginas: 280
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Marketing Models: Multivariate Statistics and Marketing Analytics, 4e

Iacobucci, Dawn

Publicado por CreateSpace Independent Publishing Platform, 2016

ISBN 10: 1539926109 ISBN 13: 9781539926108

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Marketing Models: Multivariate Statistics and Marketing Analytics, 4e

Iacobucci, Dr. Dawn

Publicado por CreateSpace Independent Publishing Platform, 2016

ISBN 10: 1539926109 ISBN 13: 9781539926108

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Marketing Models : Multivariate Statistics and Marketing Analytics

Iacobucci, Dawn

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Marketing Models : Multivariate Statistics and Marketing Analytics

Iacobucci, Dawn

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Marketing Models (Paperback)

Dawn Iacobucci

Publicado por Createspace Independent Publishing Platform, 2016

ISBN 10: 1539926109 ISBN 13: 9781539926108

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Paperback. Condici�n: new. Paperback. (*Update: Issues re layout have been addressed, and syntax is included for SAS and SPSS.) Increasingly, marketers have to analyze massive amounts of customer data. Marketing models translate that data into information to use for fact-based strategic and tactical decisions. This book covers a breadth of marketing questions and their optimal marketing model for solutions.Chapters include: 1) Introduction to Marketing Models. 2) Marketing Segmentation and Cluster Analysis. 3) Brand Choice and Logit Models. 4) Measuring Customer Attitudes and Factor Analysis. 5) Drivers of Customer Satisfaction and Path Models. 6) Perceptual Maps and Multidimensional Scaling. 7) New Products and Conjoint Analysis. 8) ROI, Experiments, and ANOVA. 9) Diffusion Models and Forecasting. 10) Word-of-Mouth and Social Networks. 11) Marketing Models: Classic Models, Big Data, to infinity and beyond. 12) Introduction to SAS, 13) Introduction to SPSS.About the AuthorDawn Iacobucci is Professor of Marketing at Vanderbilt University (previously Sr. Associate Dean at Vanderbilt, Kellogg (1987-2004), Arizona (2001-2002), and Wharton (2004-2007)). Her research has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, the Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, the Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks. She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, and Kellogg on Integrated Marketing. She is author of Marketing Management, MM, Mediation Analysis, Analysis of Variance (ANOVA), and coauthor with Gilbert Churchill on the lead Marketing Research text. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de ref. del art�culo: 9781539926108

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