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Data mining and market intelligence for optimal marketing returns [electronic resource] / Susan Chiu, Domingo Tavella.

By: Contributor(s): Publication details: Amsterdam ; Boston : Butterworth-Heinemann/Elsevier, c2008.Description: xii, 280 p. : ill. ; 24 cmISBN:
  • 9780750682343
  • 0750682345
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 658.83 22
LOC classification:
  • HF5415.2 .C485 2008
Online resources:
Contents:
Chapter 1: Introduction: Strategic Importance of Metrics, Marketing Research and Data Mining in Today's Marketing World -- Chapter 2: Marketing Spending Models and Optimization -- Chapter 3: Metric Overview -- Chapter 4: Multi-channel Campaign Performance Reporting and Optimization -- Chapter 5: Understanding the Market through Marketing Research -- Chapter 6: Data and Statistics Overview -- Chapter 7: Introduction to Data Mining -- Chapter 8: Audience Segmentation -- Chapter 9: Data Mining for Customer Acquisition, Retention and Growth: -- Case Study #1 Direct Mail Targeting for New Customer Acquisition -- Case Study #2 Attrition Modeling for Customer Retention -- Case Study #3 Customer Growth Model -- Chapter 10: Data Mining for Cross-Selling and Bundled Marketing: -- Case Study #1 E-Commerce Cross-Sell -- Case Study #2 Online Advertising Promotions -- Chapter 11: Web Analytics -- Chapter 12: Search Marketing Analytics.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library - Perpetual(TU) 658.83 (Browse shelf(Opens below)) e-book SHTEx,70000,03,CL,PPT

Includes bibliographical references and index.

Chapter 1: Introduction: Strategic Importance of Metrics, Marketing Research and Data Mining in Today's Marketing World -- Chapter 2: Marketing Spending Models and Optimization -- Chapter 3: Metric Overview -- Chapter 4: Multi-channel Campaign Performance Reporting and Optimization -- Chapter 5: Understanding the Market through Marketing Research -- Chapter 6: Data and Statistics Overview -- Chapter 7: Introduction to Data Mining -- Chapter 8: Audience Segmentation -- Chapter 9: Data Mining for Customer Acquisition, Retention and Growth: -- Case Study #1 Direct Mail Targeting for New Customer Acquisition -- Case Study #2 Attrition Modeling for Customer Retention -- Case Study #3 Customer Growth Model -- Chapter 10: Data Mining for Cross-Selling and Bundled Marketing: -- Case Study #1 E-Commerce Cross-Sell -- Case Study #2 Online Advertising Promotions -- Chapter 11: Web Analytics -- Chapter 12: Search Marketing Analytics.

Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2009. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Dec. 3, 2009). Access may be restricted to users at subscribing institutions.