2018
DOI: 10.1287/opre.2017.1697
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Cost-per-Impression Pricing for Display Advertising

Abstract: Display advertising has a 39% share of the online advertising market and is its fastest-growing category. In this paper, we consider an online display advertising setting in which a web publisher posts display ads on its website and charges based on the cost-per-impression (CPM) pricing scheme while promising to deliver a certain number of impressions on the ads posted. The publisher faces uncertain demand for advertising slots and uncertain supply of visits from viewers. We formulate the problem as a queueing… Show more

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Cited by 22 publications
(9 citation statements)
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“…Mean Deviation Feature Score (mdfscore f ,s ): Equation ( 5) calculates the mean scores for each subset (i.e. fscore F raud and fscore OK ) in order to calculate the deviation of the feature score from its subset mean represented in Equation (6):…”
Section: Hmsm Algorithm Implementationmentioning
confidence: 99%
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“…Mean Deviation Feature Score (mdfscore f ,s ): Equation ( 5) calculates the mean scores for each subset (i.e. fscore F raud and fscore OK ) in order to calculate the deviation of the feature score from its subset mean represented in Equation (6):…”
Section: Hmsm Algorithm Implementationmentioning
confidence: 99%
“…Publisher can be a web site or mobile application which displays the advertisements to the site/app visitors [5]. Generally, Large publishers often sell around 60 % of their ad space known as ad inventories though ad networks and smaller ones sell their entire inventories [6]. Ad network are online companies which play a broker role between advertiser and publisher.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A few works compare PPC and PPI schemes, but mostly in non-auction pricing models of ads -where, unlike auction settings, PPI schemes are predominant; see Choi et al [20] and references therein. In deterministic settings, Mangani [67] compares revenues between PPC and PPI schemes, and Fjell [29] determines the optimal choice between both schemes, which have been further studied with stochastic arrivals of viewers and advertisers [30,78].…”
Section: Variations Of the Baseline Formatsmentioning
confidence: 99%
“…The publisher needs to meet the agreed constraints despite uncertainty in demand for slots, traffic, and click behaviour. Ahmed & Kwon (2014) considers the choice of contract size with pay-per-view pricing while the choice of price is studied using a queueing approach in Najafi-Asadolahi & Fridgeirsdottir (2014) and Fridgeirsdottir & Najafi-Asadolahi (2018) for pay-per-click and pay-per-view respectively. Hojjat et al (2017) gives a framework which allows more complicated contracts where advertisers can specify how their adverts are displayed (e.g.…”
Section: Related Workmentioning
confidence: 99%