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Data mining and market intelligence for optimal marketing returns

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data mining and market intelligence for optimal marketing returns/ Susan Chiu, Domingo Tavella.
作者:	Chiu, Susan.
其他作者:	Tavella, Domingo,
出版者:	Amsterdam ;Butterworth-Heinemann/Elsevier, : c2008.,
面頁冊數:	1 online resource (xii, 280 p.) :ill. :
標題:	Marketing research. -
電子資源:	http://www.sciencedirect.com/science/book/9780750682343
ISBN:	9780750682343

Data mining and market intelligence for optimal marketing returns
Chiu, Susan.

Data mining and market intelligence for optimal marketing returns[electronic resource] /Susan Chiu, Domingo Tavella. - Amsterdam ;Butterworth-Heinemann/Elsevier,c2008. - 1 online resource (xii, 280 p.) :ill.

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.

The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of established quantitative techniques into real life case studies that are immediately relevant to marketing practitioners. * Provides a dual treatment of market research and data mining * Uses a how-to approach for professionals with illustrative case studies in addition to theory * Includes practical tips on how to create executive reports, dashboards, and a market intelligence infrastructure.

ISBN: 9780750682343

Source: 132626:132746Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

561150
Marketing research.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: HF5415.2 / .C485 2008

Dewey Class. No.: 658.83

Data mining and market intelligence for optimal marketing returns
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245 1 0 $a Data mining and market intelligence for optimal marketing returns $h [electronic resource] / $c Susan Chiu, Domingo Tavella.
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300 $a 1 online resource (xii, 280 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of established quantitative techniques into real life case studies that are immediately relevant to marketing practitioners. * Provides a dual treatment of market research and data mining * Uses a how-to approach for professionals with illustrative case studies in addition to theory * Includes practical tips on how to create executive reports, dashboards, and a market intelligence infrastructure.
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