Promotion Personalization
Promotion Personalization is a data-driven method within promotion analytics that tailors promotional offers to individual consumers based on their behavioral, demographic, and contextual attributes, distinguishing it from broad-segment or mass promotion strategies by its focus on micro-level customization at the individual user level.
11
Publications
671
Citations
20
Authors
22
Institutions
Publications per year
2017–2026
1
11
Customizing Promotions in Online Stores
Jie Zhang, Lakshman Krishnamurthi · Marketing Science · 2004 · 212 citations
Applying neural computing to target marketing
Jacob Zahavi, Nissan Levin · Journal of Direct Marketing · 1997 · 123 citations
Data mining and personalization technologies
Philip S. Yu · 2003 · 58 citations
1–5 of 11
20
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 20
22

Tel Aviv University
Tel Aviv, Israel
3 h-index
6 publications
340 citations

University of Groningen
Groningen, The Netherlands
2 h-index
3 publications
164 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
212 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
212 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
58 citations
Universidad Torcuato Di Tella
Buenos Aires, Argentina
1 h-index
1 publications
25 citations
Data Management (Italy)
Milan, Italy
1 h-index
1 publications
123 citations
Ross School
East Hampton, United States
1 h-index
1 publications
212 citations
1–8 of 22
JDM · 3 publications · 170 citations
3
h-index
TIIS · 1 publications · 10 citations
1
h-index
1 publications · 94 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 212 citations
1
h-index
1–5