Ad Campaign Optimization
Ad Campaign Optimization is a methodological framework within digital advertising that systematically enhances the performance of advertising campaigns by iteratively refining targeting, bidding, creative content, and placement strategies based on empirical data and analytical models to maximize predefined objectives such as conversion rates, return on ad spend, or audience engagement.
93
Publications
3.7K
Citations
234
Authors
121
Institutions
Publications per year
2017–2026
35
Parents
93
Optimal real-time bidding for display advertising
Weinan Zhang, Shuai Yuan, Jun Wang · 2014 · 301 citations
Real-Time Bidding by Reinforcement Learning in Display Advertising
2017 · 165 citations · Full text
Real-time bidding algorithms for performance-based display ad allocation
Ye Chen, Pavel Berkhin, Bo Anderson et al. · 2011 · 126 citations
1–5 of 93
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121
Yahoo (United States)
Sunnyvale, United States
7 h-index
24 publications
894 citations
University College London
London, United Kingdom
5 h-index
10 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
7 publications
201 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
10 publications
975 citations
Politecnico di Milano
Milan, Italy
3 h-index
14 publications
248 citations
Northwestern University
Evanston, United States
3 h-index
3 publications
205 citations
Google (United States)
Mountain View, United States
3 h-index
5 publications
170 citations
University of California, Irvine
Irvine, United States
3 h-index
3 publications
98 citations
1–8 of 121
6 publications · 212 citations
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4 publications · 224 citations
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Repository · 3 publications · 70 citations
3
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IJRM · 2 publications · 65 citations
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2 publications · 107 citations
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