Personalized Promotion Optimization
Personalized Promotion Optimization is a data-driven decision-making framework within personalization analytics that systematically tailors promotional strategies to individual user characteristics and behaviors to maximize engagement, conversion, or revenue outcomes.
8
Publications
508
Citations
23
Authors
20
Institutions
Publications per year
2017–2026
6
Parents
8
Customizing Promotions in Online Stores
Jie Zhang, Lakshman Krishnamurthi · Marketing Science · 2004 · 212 citations
1–5 of 8
23
Massachusetts Institute of Technology, United States
2 publications · 42 citations
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 23
20
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
254 citations
Ross School
East Hampton, United States
3 h-index
3 publications
254 citations
Oracle (United States)
Austin, United States
2 h-index
4 publications
84 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
84 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
84 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
212 citations
Boston College
Boston, United States
1 h-index
1 publications
25 citations

De Montfort University
Leicester, United Kingdom
1 h-index
2 publications
74 citations
1–8 of 20
1 publications · 212 citations
1
h-index
ISR · 1 publications · 84 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 37 citations
1
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1–5