Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions

Online advertising serves as the primary revenue source for numerous Internet companies, which typically sell advertising slots through auctions. Conventional online ad auctions assume constant click-through rates (CTRs) and conversion rates (CVRs) for ads during the auction process. However, this paper studies a new scenario where advertisers can offer coupons to users, thereby influencing both CTRs and CVRs and consequently, the platform's revenue.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1145/3696410.3714594
Citations
1
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
2.11

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article

Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions

Peng Jiang, Xiaodong Liu, Changcheng Li, Weiran Shen et al.
1 citations
Auction Theory and Applications
2.11
article

Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions

Peng Jiang, Xiaodong Liu, Changcheng Li, Weiran Shen, Xiao Lin, Y. Ding
article en
1 citations

Abstract

Online advertising serves as the primary revenue source for numerous Internet companies, which typically sell advertising slots through auctions. Conventional online ad auctions assume constant click-through rates (CTRs) and conversion rates (CVRs) for ads during the auction process. However, this paper studies a new scenario where advertisers can offer coupons to users, thereby influencing both CTRs and CVRs and consequently, the platform's revenue.

Kuaishou (China), Renmin University of China (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Auction Theory and Applications
2.11
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