Markus Wübben

Analytical CRM

Developing and Maintaining Profitable Customer Relationships in Non-Contractual Settings

• Broschiertes Buch

Produktbeschreibung

The ever-increasing amount of individual-level customer data generated by reward/l- alty programs opens new perspectives for customer relationship management (CRM). Without any question, the potential bene?ts of these data and analytical models for - plaining, extending, and predicting customer behavior is very high. However, recent analyses have shown that a high fraction of CRM projects result in negative return on investment. One of the main reasons for this dilemma is that these data require advanced analytical processing to fully leverage their potential ("analytical CRM"). Yet, research and practice is still in its early stages with respect to analytical CRM. In particular, the so-called "non-contractual settings" remain widely unexplored. Lit- ature refers to a "non-contractual setting" when customer relationships are not governed by a contract that predetermines the monetary value and/or length of the relationship. Examples include hotels, airlines, and most retailers. The most obvious consequence for CRM is that the end of a customer relationship is not directly observable, i.e., a c- tomer can switch providers without notifying the focal provider. Consequently, analysis of customer retention, and future buying behavior is even more problematic than in contractual settings.

Produktdetails

• Applied Marketing Science / Angewandte Marketingforschung
• Verlag: Gabler / Gabler Verlag
• Artikelnr. des Verlages: 978-3-8349-1278-7
• 2009
• Seitenzahl: 296
• Erscheinungstermin: 9. Oktober 2008
• Englisch
• Abmessung: 210mm x 148mm x 17mm
• Gewicht: 388g
• ISBN-13: 9783834912787
• ISBN-10: 3834912786
• Artikelnr.: 24641164

Autorenporträt

Dr. Markus Wübben ist wissenschaftlicher Mitarbeiter bei Prof. Dr. Florian von Wangenheim am Lehrstuhl für Dienstleistungs- und Technologiemarketing der Technischen Universität München.

Inhaltsangabe

Fundamentals of Customer Relationship Management.- The Drivers of Cross-Buying Behavior in Non-Contractual Settings.- Stochastic Models for Predicting Customer Activity and Future Best Customers in Non-Contractual Settings.- Support Vector Machines for Predicting Customer Activity and Future Best Customers in Non-Contractual Settings.- Reflections on Developing and Maintaining Customer Relationships in Non-Contractual Settings.- Customer Relationship Management in the 21st Century.