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Pricing segmentation and analytics [electronic resource] / Tudor Bodea and Mark Ferguson.

By: Bodea, Tudor.
Contributor(s): Ferguson, Mark.
Material type: materialTypeLabelBookSeries: Marketing strategy collection: Publisher: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, c2012Edition: 1st ed.Description: 1 electronic text (160 p.) : digital file.ISBN: 9781606492581 (electronic bk.).Subject(s): Pricing | Revenue management | Market segmentation | Segmentation | revenue management | price optimization | price elasticity | promotions | pricingGenre/Form: Electronic books.DDC classification: 658.816 Online resources: Click to View Also available in print.
Contents:
1. Theory of pricing analytics -- 2. The practice of pricing analytics -- 3. Dynamic pricing and markdown optimization -- 4. Pricing in business-to-business environments -- 5. Customer behavior aspects of pricing -- Appendix A. Dichotomous logistic regression -- Appendix B. Pricing analytics using R -- Notes -- References -- Index.
Abstract: Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries and are increasingly important in industries as diverse as retail, telecommunications, banking, health care, and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.
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Item type Current location Collection Call number URL Copy number Status Date due Item holds
E-book E-book IUKL Library
Subscripti https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=876650 1 Available
Total holds: 0

Includes bibliographical references (p. 147-151) and index.

1. Theory of pricing analytics -- 2. The practice of pricing analytics -- 3. Dynamic pricing and markdown optimization -- 4. Pricing in business-to-business environments -- 5. Customer behavior aspects of pricing -- Appendix A. Dichotomous logistic regression -- Appendix B. Pricing analytics using R -- Notes -- References -- Index.

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Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries and are increasingly important in industries as diverse as retail, telecommunications, banking, health care, and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.

Also available in print.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Title from PDF t.p. (viewed on January 25, 2012).

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