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Predictive buying : ウィキペディア英語版
Predictive buying

Predictive Buying is the name of the industry dedicated to algorithmic consumer analytics yielding future buying patterns. The primary nature of data mining,〔Kantardzic, Mehmed (2003). Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons. ISBN 0-471-22852-4. OCLC 50055336〕 analysis and extrapolation have their roots in game theory,〔Fudenberg, Drew; Tirole, Jean (1991), Game theory, MIT Press, ISBN 978-0-262-06141-4 .〕 rule of inference〔Boolos, George; Burgess, John; Jeffrey, Richard C. (2007). Computability and logic. Cambridge: Cambridge University Press.〕 and regression models.〔M. H. Kutner, C. J. Nachtsheim, and J. Neter (2004), "Applied Linear Regression Models", 4th ed., McGraw-Hill/Irwin, Boston〕 Predictive Buying is an integration of predictive analytics〔Agresti, Alan (2002). Categorical Data Analysis. Hoboken: John Wiley and Sons. ISBN 0-471-36093-7〕 and the methods of permission marketing.〔Scott, David Meerman (2007). The new rules of marketing and PR how to use news releases, blogs, podcasts, viral marketing and online media to reach your buyers directly. Hoboken, N.J.: J. Wiley & Sons, Inc.. p. 162. ISBN 978-0-470-11345-5.〕
==Benefits==
While direct marketing and content-relevant ads have expanded the personalized nature of individual consumer's experiences and communication with businesses,〔O'guinn, Thomas (2008). Advertising and Integrated Brand Promotion. Oxford Oxfordshire: Oxford University Press.〕 predictive buying intelligence bridges between consumers and the products they want. Even if the consumer does not know of a product's existence, predictive buying technology can, through an analysis of the consumer's interactions, purchase history and other factors, bring that product to the consumer’s attention.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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