Revenue management in online advertising

Najafi-Asadolahi, Sami (2010) Revenue management in online advertising. Doctoral thesis, University of London: London Business School. OPEN ACCESS

Abstract

Online advertising is a multibillion-dollar business with a promising revenue increase for the coming years. Web publishers that generate revenues from online advertising face several challenging decisions. They need to decide on how many advertising slots to have on their website, whether to hire a sales force to attract advertisers to post ads on their website or rely on advertising networks, how many impressions to promise to deliver, and how much to charge, etc. Revenue management, in particular pricing, is considered one of the most challenging tasks and currently ad-hoc approaches are frequently used. In this dissertation, we provide systematic approaches for managing revenues in online display advertising. In the first chapter, we consider a web publisher facing uncertain demand from advertisers requesting space on its website, and an uncertain supply of impressions from viewers visiting the website. Formulating the problem as a novel queuing system we show, for example, that the optimal cost-per-impression (CPM) can increase in the number of ads rotated in a slot, which goes against the intuition of supply and demand. In the second chapter, we consider a different pricing scheme, the so-called cost-per-click scheme. Formulating the problem as another novel queuing system, we show that the general heuristic applied by practitioners to convert between the CPC and CPM pricing schemes using the so-called click-through rate (CTR), can be misleading. In the third chapter, we explore the interactions of two web publishers in a competitive setting and provide various interesting insights about their strategic pricing behavior at equilibrium. Lastly, In the fourth chapter, we obtain the optimality conditions for the advertisers' demand process when the demand distribution, instead of being Poisson, follows an arbitrary continuous distribution.

More Details

Item Type: Thesis (Doctoral)
Subject Areas: Management Science and Operations
Date Deposited: 10 Feb 2022 16:39
Date of first compliant deposit: 10 Feb 2022
Subjects: Pricing
Profit
Advertising
Internet
Theses
Last Modified: 16 Sep 2024 16:48
URI: https://lbsresearch.london.edu/id/eprint/2326
More

Export and Share


Download

Published Version - Text

Statistics

Altmetrics
View details on Dimensions' website

Downloads from LBS Research Online

View details

Actions (login required)

Edit Item Edit Item