Title
Optimal Keyword Bids in Search-Based Advertising with Stochastic Advertisement Positions.
Abstract
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.
Year
DOI
Venue
2012
10.1007/s10957-011-9886-3
J. Optimization Theory and Applications
Keywords
Field
DocType
Search-based advertising, Budget optimization, Probabilistic models
Risk–return spectrum,Mathematical optimization,Budget constraint,Advertising,Stochastic modelling,Probabilistic logic,Mathematics,Bid price
Journal
Volume
Issue
ISSN
152
1
1573-2878
Citations 
PageRank 
References 
3
0.38
9
Authors
3
Name
Order
Citations
PageRank
Susan Cholette1101.93
Ozgur Ozluk2568.92
Mahmut Parlar328133.65