Marketing Analytics for Data-Rich Environments

被引:507
作者
Wedel, Michel [1 ,2 ]
Kannan, P. K. [3 ]
机构
[1] Univ Maryland, Consumer Sci, College Pk, MD 20742 USA
[2] Univ Maryland, Robert H Smith Sch Business, College Pk, MD 20742 USA
[3] Univ Maryland, Robert H Smith Sch Business, Mkt Sci, College Pk, MD 20742 USA
关键词
big data; marketing analytics; marketing mix; personalization; privacy; CUSTOMER-BASE ANALYSIS; WORD-OF-MOUTH; BINOMIAL-DISTRIBUTION; BAYESIAN-INFERENCE; EMPIRICAL-MODEL; ONLINE; CHOICE; SALES; REGRESSION; PROMOTIONS;
D O I
10.1509/jm.15.0413
中图分类号
F [经济];
学科分类号
02 ;
摘要
The authors provide a critical examination of marketing analytics methods by tracing their historical development, examining their applications to structured and unstructured data generated within or external to a firm, and reviewing their potential to support marketing decisions. The authors identify directions for new analytical research methods, addressing (1) analytics for optimizingmarketing-mix spending in a data-rich environment, (2) analytics for personalization, and (3) analytics in the context of customers' privacy and data security. They review the implications for organizations that intend to implement big data analytics. Finally, turning to the future, the authors identify trends that will shape marketing analytics as a discipline as well as marketing analytics education.
引用
收藏
页码:97 / 121
页数:25
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