Statistical Methods in Customer Relationship Managementfocuses on the quantitative and modeling aspects of customermanagement strategies that lead to future firm profitability, withemphasis on developing an understanding of Customer RelationshipManagement (CRM) models as the guiding concept for profitablecustomer management. To understand and explore the functioning ofCRM models, this book traces the management strategies throughout acustomer’s tenure with a firm. Furthermore, the book exploresin detail CRM models for customer acquisition, customer retention,customer acquisition and retention, customer churn, and customerwin back. Statistical Methods in Customer RelationshipManagement: Provides an overview of a CRM system, introducing key conceptsand metrics needed to understand and implement these models. Focuses on five CRM models: customer acquisition, customerretention, customer churn, and customer win back with supportingcase studies. Explores each model in detail, from investigating the need forCRM models to looking at the future of the models. Presents models and concepts that span across the introductory,advanced, and specialist levels. Academics and practitioners involved in the area of CRM as wellas instructors of applied statistics and quantitative marketingcourses will benefit from this book.
Includes all testable terms, concepts, persons, places, and events. Just the FACTS101 provides the essentials of the textbook: all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests.
This book deals with the practical implementation and meta-analysis of CRM experience in various locations and business areas.
This book has brought out some procedures to construct statistical models for Customer Relationship Management (CRM) by using Univariate and Multiple Logistic regression models.
Fisher and Pearson reportedly did not get along despite, or perhaps because of, the large overlap in their areas of interest. Fisher's test does for continuous variables what Pearson's chi-square test does for categorical variables.
In practice, however, most of them are not suitable because of the stochastic nature of the problem. In this thesis, a series of stochastic models and numerical algorithms are proposed and evaluated.
Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field ...
... to extend traditional decision making processes by adding intuitive reasoning, human subjectivity, and imprecision. To deal with uncertainty, vagueness, and imprecision, Lotfi A. Zadeh introduced fuzzy sets and fuzzy logic.
Featuring coverage on a wide range of topics such as relational marketing technology acceptance model, and consumer buying behavior, this book is a vital resource for marketing professionals, managers, retailers, advertising executives, ...
Effective Customer Relationship Management
This book offers a solid theoretical and practical perspective on how to face CRM projects, describing the most appropriate technologies and organizational issues that have to be considered. Some explaining cases have been included as well.