Pricing Models for Online Advertising: CPM vs. CPC
Kursad Asdemir (),
Nanda Kumar () and
Varghese S. Jacob ()
Additional contact information
Kursad Asdemir: Faculty of Business and Economics, United Arab Emirates University, Al Ain, United Arab Emirates
Nanda Kumar: School of Management, University of Texas at Dallas, Richardson, Texas 75083
Varghese S. Jacob: School of Management, University of Texas at Dallas, Richardson, Texas 75083
Information Systems Research, 2012, vol. 23, issue 3-part-1, 804-822
Abstract:
Online advertising has transformed the advertising industry with its measurability and accountability. Online software and services supported by online advertising is becoming a reality as evidenced by the success of Google and its initiatives. Therefore, the choice of a pricing model for advertising becomes a critical issue for these firms. We present a formal model of pricing models in online advertising using the principal--agent framework to study the two most popular pricing models: input-based cost per thousand impressions (CPM) and performance-based cost per click-through (CPC). We identify four important factors that affect the preference of CPM to the CPC model, and vice versa. In particular, we highlight the interplay between uncertainty in the decision environment, value of advertising, cost of mistargeting advertisements, and alignment of incentives. These factors shed light on the preferred online-advertising pricing model for publishers and advertisers under different market conditions.
Keywords: online advertising; cost per impression (CPM); cost per click (CPC); pricing models; asymmetric information; delegation; principal--agent model (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.1110.0391 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:23:y:2012:i:3-part-1:p:804-822
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().