Database marketing: analyzing and managing customers

Database marketing is at the crossroads of technology, business strategy, andcustomer relationship management. Enabled by sophisticated information and communication systems, today's organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise-from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques, and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing. INDICE: Introduction.- Why Database Marketing.- Organized for Database Marketing.- Customer Privacy in a CRM Environment.- LTV Fundamentals.- LTV Advanced Issues.- LTV Applications.- Sources of Data.- Test Design and Analysis.- The Predictive Modeling Process.- Foundations of Statistical Modeling.- RFM Analysis.- Market Basket Analysis.- Collaborative Filtering.- Discrete Dependent Variable and Duration Models.- Cluster Analysis.- Decision Trees.- Neural Networks.- Machine Learning.- Acquiring Customers.- Cross-Selling and Up-Selling.- Frequency Reward Programs.- Customer Tier Programs.- Churn Management.- Multi-Channel Customer Management.- Acquisition and Retention Management.- Communications Design.- Multi-Contact Customer Management.- Pricing.- Glossary of Database Marketing Terms.- Index.

• ISBN: 978-0-387-72578-9
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 700
• Fecha Publicación: 01/02/2008
• Nº Volúmenes: 1
• Idioma: Inglés