Publication Type
Journal Article
Version
submittedVersion
Publication Date
6-2012
Abstract
Designing business models that take into consideration the role of advertising support is critical to the success of online services. In this paper, we address the challenges of these business model strategies and compare different ad revenue models. We use game theory to model vertical differentiation in both monopoly and duopoly settings, in which online service providers may offer an ad-free service, an ad-supported service, or a combination of these services. Offering both ad-free and ad-supported services is the optimal strategy for a monopolist because ad revenues compensate for the cannibalistic effect of vertical differentiation. In a duopoly equilibrium, exactly one firm offers both services when the ad revenue rate is sufficiently high. Furthermore, we find that a higher ad revenue rate may lead to lower service prices. Consistently across both monopoly and duopoly settings, such price reductions are more severe in the cost-per-thousand-impressions model than in the cost-per-click model. Our findings emphasize the role of advertising revenues in vertical differentiation and offer strategic guidance for monetizing online services.
Keywords
ad-supported business models, e-commerce, economic analysis, game theory, online advertising, vertical differentation.
Discipline
Advertising and Promotion Management | Computer Sciences | E-Commerce | Management Information Systems
Research Areas
Information Systems and Management
Publication
Journal of Management Information Systems
Volume
29
Issue
1
First Page
195
Last Page
236
ISSN
0742-1222
Identifier
10.2753/MIS0742-1222290106
Publisher
Taylor and Francis
Citation
LIN, Mei; KE, Xuqing; and WHINSTON, Andrew B..
Vertical Differentiation and a Comparison of Online Advertising Models. (2012). Journal of Management Information Systems. 29, (1), 195-236.
Available at: https://ink.library.smu.edu.sg/sis_research/1716
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.2753/MIS0742-1222290106
Included in
Advertising and Promotion Management Commons, Computer Sciences Commons, E-Commerce Commons, Management Information Systems Commons