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Handbook of Marketing Analytics
Methods and Applications in Marketing Management, Public Policy, and Litigation Support
Edited by Natalie Mizik and Dominique M. Hanssens
Marketing Science contributes significantly to the development and validation of analytical tools with a wide range of applications in business, public policy and litigation support. The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications. Fourteen chapters provide an overview of specific marketing analytic methods in some technical detail and 22 case studies present thorough examples of the use of each method in marketing management, public policy, and litigation support. All contributing authors are recognized authorities in their area of specialty.
Handbook
- Published in print:
- 30 Mar 2018
- ISBN:
- 9781784716745
- eISBN:
- 9781784716752
- Pages:
- c 712
Show Summary Details
- Handbook of Marketing Analytics
- Copyright
- Contents
- Contributors
- Overview of the chapters
- Introduction
- Chapter 1: Laboratory experimentation in marketing
- Chapter 2: Field experiments
- Chapter 3: Conjoint Analysis
- Chapter 4: Time-series models of short-run and long-run marketing impact
- Chapter 5: Panel data methods in marketing research
- Chapter 6: Causal inference in marketing applications
- Chapter 7: Modeling choice processes in marketing
- Chapter 8: Bayesian econometrics
- Chapter 9: Structural models in marketing
- Chapter 10: Multivariate statistical analyses: cluster analysis, factor analysis, and multidimensional scaling
- Chapter 11: Machine learning and marketing
- Chapter 12: Big data analytics
- Chapter 13: Meta analysis in marketing
- Chapter 14: Marketing optimization methods
- Chapter 15: Industry applications of conjoint analysis
- Chapter 16: How time series econometrics helped Inofec quantify online and offline funnel progression and reallocate marketing budgets for higher profits
- Chapter 17: Panel data models for evaluating the effectiveness of direct-to-physician pharmaceutical marketing activities
- Chapter 18: A nested logit model for product and transaction-type choice planning automakers’ pricing and promotions
- Chapter 19: Visualizing asymmetric competitive market structure in large markets
- Chapter 20: User profiling in display advertising
- Chapter 21: Dynamic optimization for marketing budget allocation at Bayer
- Chapter 22: Consumer (mis)behavior and public policy intervention
- Chapter 23: Nudging healthy choices with the 4Ps framework for behavior change
- Chapter 24: Field experimentation: promoting environmentally friendly consumer behavior
- Chapter 25: Regulation and online advertising markets
- Chapter 26: Measuring the long-term effects of public policy: the case of narcotics use and property crime
- Chapter 27: Applying structural models in a public policy context
- Chapter 28: Avoiding bias: ensuring validity and admissibility of survey evidence in litigations
- Chapter 29: Experiments in litigation
- Chapter 30: Conjoint analysis in litigation
- Chapter 31: Conjoint analysis: applications in antitrust litigation
- Chapter 32: Feature valuation using equilibrium conjoint analysis
- Chapter 33: Regression analysis to evaluate harm in a breach of contract case: the Citri-Lite Company, Inc., Plaintiff v. Cott Beverages, Inc., Defendant
- Chapter 34: Consumer surveys in trademark infringement litigation: FIJI vs. VITI case study
- Chapter 35: Survey evidence to evaluate a marketing claim: Skye Astiana, Plaintiff v. Ben & Jerry’s Homemade, Inc., Defendant
- Chapter 36: Machine learning in litigation
- Index
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Chapter 1: Laboratory experimentation in marketing
Angela Y. Lee and Alice M. Tybout
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- Handbook of Marketing Analytics
- Copyright
- Contents
- Contributors
- Overview of the chapters
- Introduction
- Chapter 1: Laboratory experimentation in marketing
- Chapter 2: Field experiments
- Chapter 3: Conjoint Analysis
- Chapter 4: Time-series models of short-run and long-run marketing impact
- Chapter 5: Panel data methods in marketing research
- Chapter 6: Causal inference in marketing applications
- Chapter 7: Modeling choice processes in marketing
- Chapter 8: Bayesian econometrics
- Chapter 9: Structural models in marketing
- Chapter 10: Multivariate statistical analyses: cluster analysis, factor analysis, and multidimensional scaling
- Chapter 11: Machine learning and marketing
- Chapter 12: Big data analytics
- Chapter 13: Meta analysis in marketing
- Chapter 14: Marketing optimization methods
- Chapter 15: Industry applications of conjoint analysis
- Chapter 16: How time series econometrics helped Inofec quantify online and offline funnel progression and reallocate marketing budgets for higher profits
- Chapter 17: Panel data models for evaluating the effectiveness of direct-to-physician pharmaceutical marketing activities
- Chapter 18: A nested logit model for product and transaction-type choice planning automakers’ pricing and promotions
- Chapter 19: Visualizing asymmetric competitive market structure in large markets
- Chapter 20: User profiling in display advertising
- Chapter 21: Dynamic optimization for marketing budget allocation at Bayer
- Chapter 22: Consumer (mis)behavior and public policy intervention
- Chapter 23: Nudging healthy choices with the 4Ps framework for behavior change
- Chapter 24: Field experimentation: promoting environmentally friendly consumer behavior
- Chapter 25: Regulation and online advertising markets
- Chapter 26: Measuring the long-term effects of public policy: the case of narcotics use and property crime
- Chapter 27: Applying structural models in a public policy context
- Chapter 28: Avoiding bias: ensuring validity and admissibility of survey evidence in litigations
- Chapter 29: Experiments in litigation
- Chapter 30: Conjoint analysis in litigation
- Chapter 31: Conjoint analysis: applications in antitrust litigation
- Chapter 32: Feature valuation using equilibrium conjoint analysis
- Chapter 33: Regression analysis to evaluate harm in a breach of contract case: the Citri-Lite Company, Inc., Plaintiff v. Cott Beverages, Inc., Defendant
- Chapter 34: Consumer surveys in trademark infringement litigation: FIJI vs. VITI case study
- Chapter 35: Survey evidence to evaluate a marketing claim: Skye Astiana, Plaintiff v. Ben & Jerry’s Homemade, Inc., Defendant
- Chapter 36: Machine learning in litigation
- Index