Predictive Conversion Modeling
Predictive Conversion Modeling is a computational framework within conversion rate optimization that employs statistical and machine learning techniques to forecast the likelihood of user conversion by analyzing behavioral and contextual data, distinguishing itself through its focus on anticipatory analytics rather than reactive performance measurement.
43
Publications
2.4K
Citations
149
Authors
50
Institutions
Publications per year
2017–2026
28
Parents
43
Dynamic Conversion Behavior at E-Commerce Sites
Wendy W. Moe, Peter S. Fader · Management Science · 2004 · 531 citations · Full text
Domain Transfer Learning for MCI Conversion Prediction
Bo Cheng, Mingxia Liu, Daoqiang Zhang et al. · IEEE Transactions on Biomedical Engineering · 2015 · 186 citations · Full text
Modeling delayed feedback in display advertising
Olivier Chapelle · 2014 · 167 citations
1–5 of 43
149
University of Electronic Science and Technology of China, China
3 publications · 146 citations
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3
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3
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2
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2
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1–5 of 149
50

Alibaba Group (China)
Hangzhou, China
6 h-index
22 publications
571 citations
Yahoo (United States)
Sunnyvale, United States
6 h-index
22 publications
952 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
1K citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
5 publications
670 citations
Korea University
Seoul, South Korea
2 h-index
6 publications
501 citations
University of Minho
Braga, Portugal
2 h-index
6 publications
171 citations

University of Milan
Milan, Italy
2 h-index
2 publications
102 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
231 citations
1–8 of 50
Repository · 2 publications · 30 citations
2
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2 publications · 736 citations
2
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2 publications · 102 citations
2
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1 publications · 13 citations
1
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TKDE · 1 publications · 39 citations
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1–5