Optimal Keyword Bids in Search-Based Advertising with Stochastic Advertisement Positions
- First Online:
- Cite this article as:
- Cholette, S., Özlük, Ö. & Parlar, M. J Optim Theory Appl (2012) 152: 225. doi:10.1007/s10957-011-9886-3
- 347 Downloads
US expenditures on search-based advertising exceeded $12 billion in 2010. Advertisers bid for keywords, where bid price determines ad placement, affecting click-through and conversion rates. Advertisers must select keywords, allocating each a proportion of their fixed daily budget. In this paper, we construct a stochastic model for the selection and allocation process. We provide analytical results for the single-keyword problem and examine the multiple-keyword problem numerically. We investigate trade-offs between keywords given varying levels of risk and return. We show the implications of enforcing a probabilistic budget constraint. Our paper provides a critical analysis of the advertiser’s problem that may guide future research.