Retail Customer Analytics
Retail Customer Analytics is a methodological framework within retail customer relationship management that systematically employs data collection, statistical analysis, and modeling techniques to extract actionable insights from customer behaviors, preferences, and transaction patterns in order to optimize personalized marketing, enhance customer retention, and improve retail decision-making.
45
Publications
2.7K
Citations
122
Authors
76
Institutions
Publications per year
2017–2026
29
45
The Role of Big Data and Predictive Analytics in Retailing
Eric T. Bradlow, Manish Gangwar, Praveen K. Kopalle et al. · Journal of Retailing · 2017 · 488 citations
Mining changes in customer behavior in retail marketing
M CHEN, A. W. Chiu, H. H. Chang · Expert Systems with Applications · 2005 · 196 citations
Business applications of data mining
Chidanand Apté, Bing Liu, Edwin Pednault et al. · Communications of the ACM · 2002 · 176 citations
Business, Business Analytics, Management Information Systems +13
Applications of data mining in retail business
Sani Ahmed · 2004 · 97 citations
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76
University of Pennsylvania
Philadelphia, United States
4 h-index
4 publications
690 citations

North South University
Dhaka, Bangladesh
3 h-index
3 publications
132 citations

University of Wollongong
Wollongong, Australia
3 h-index
9 publications
396 citations
Sharda University
Greater Noida, India
2 h-index
3 publications
96 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
121 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
11 publications
712 citations

Athens University of Economics and Business
Athens, Greece
2 h-index
5 publications
478 citations
IBM (United States)
Armonk, United States
2 h-index
14 publications
490 citations
1–8 of 76
5 publications · 292 citations
5
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3 publications · 627 citations
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2 publications · 336 citations
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Repository · 2 publications · 50 citations
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POMS · 2 publications · 104 citations
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