Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships

Voorkant
Routledge, 23 mrt 2016 - 352 pagina's
While the definition of database marketing hasn’t changed, its meaning has become more vivid, versatile and exciting than ever before. Advanced Database Marketing provides a state-of-the-art guide to the methods and applications that define this new era in database marketing, including advances in areas such as text mining, recommendation systems, internet marketing, and dynamic customer management. An impressive list of contributors including many of the thought-leaders in database marketing from across the world bring together chapters that combine the best academic research and business applications. The result is a definitive guide and reference for marketing and brand analysts, masters students, teachers and researchers in marketing analytics. The proliferation of marketing platforms and channels and the complexity of customer interactions create an urgent need for a multidisciplinary and analytical toolkit. Advanced Database Marketing is a resource to enable marketers to achieve insights and increased financial performance; to provide them with the capability to implement and evaluate approaches to marketing that will meet, in equal measure, the changing needs of customers and the businesses that serve them.
 

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Inhoudsopgave

List of Figures
List of Contributors
Introduction
Bayesian Networks
Tasks
Textual Customer Data Handling for Quantitative Marketing
Index
Bayesian Networks and Applications in Direct Marketing
Pedagogical Rule Extraction Algorithms
Hybrid Models for Recommender Systems
Marketing in the New Mobile Economy
Targeting Display Advertising
Paid Search Advertising
A Shortterm Perspective Paid Search as a Direct Marketing Tool
A Longterm Perspective Indirect Effects of Paid Search
Beyond Keywords

Bayesian Network Classifiers
Learning Bayesian Networks from Incomplete Databases
Direct Marketing Modeling
The Evolutionary Bayesian Network EBN Algorithm
Application in Direct Marketing Modeling
Conclusion Acknowledgments References
Methods and Applications Dries F Benoit and Dirk Van Den Poel 1 Introduction
Methodological Background
Case Studies
Summary
References
Ensemble Learning in Database Marketing Koen W De Bock and Kristof Coussement 1 Introduction
Basics of Ensemble Learning
Algorithms
Applications in Database Marketing
Advanced Topics
Software
Summary
References
Active Learning Rule Extraction and Incorporating Domain Knowledge Thomas Verbraken Véronique Van Vlasselaer Wouter Verbeke David Marte...
Decompositional Rule Extraction from Artificial Neural Networks
Decompositional Rule Extraction from Support Vector Machines
Emerging Topics
Conclusion
References
Introduction
The Why and What? of Social Media
Social Media Metrics and Data Collection
The Firms Management of Social Interactions and Social Media
References
Dynamic Customer Optimization Models Scott A Neslin 1 Introduction 2 The Impetus for Dynamic Customer Optimization 3 The Elements of Dyna...
The Development of the Dynamic Customer Optimization Field
Applications
Summary Key Challenges and Future Research
References
Direct Marketing in the Nonprofit Sector Griet Verhaert 1 Introduction
Different Aspects of the Donor Lifecycle
Multichannel Approach
Database and Methods to Optimize Direct Marketing in Fundraising
Campaign Evaluation
Conclusion Challenges and Opportunities for the Future
References
Copyright

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Over de auteur (2016)

Kristof Coussement is Associate Professor of Marketing at IESEG School of Management, France, where he teaches courses including customer relationship management and data mining. Kristof is a founder of the Belgian Association for Quantitative & Qualitative Marketing Research, BAQMaR. Koen W. De Bock is Assistant Professor of Marketing at IESEG School of Management, France, where he teaches courses on Internet marketing. He is visiting lecturer at the University of Stellenbosch Business School, South Africa. Scott A. Neslin is the Albert Wesley Frey Professor of Marketing at the Amos Tuck School of Business Administration, Dartmouth College. He has been at the Tuck School since completing his Ph.D. in 1978 at the Sloan School of Management, MIT. He has served as a Visiting Scholar at the School of Management, Yale University (1989-1990), the Teradata/Duke CRM Center located at the Fuqua School of Management, Duke University (2002), and Columbia Business School (2009-2010).

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