An advertising revenue model for access ISPs

Faced with the unrelenting traffic growth and rising costs, access ISPs (Internet Service Providers) realize that their traditional revenue model of flat subscription fees is unsustainable. Regulatory concerns, e.g., about content-specific charging, constrain the ISPs' search for new revenue sources. This paper analyzes a revenue model where an access ISP acts as a publisher of ads to users who explicitly opt for an ad-sponsored access plan of the ISP. First, we conduct a survey showing a substantial interest of users in ad-sponsored Internet access. Then, we mathematically characterize the advertising revenue model and asses its economic feasibility based on real data from two access ISPs and an ad publisher. While the ad revenues are tangible, they do not completely cover the costs of the access ISPs. Even in relative terms, a larger access ISP benefits more from the advertising, with the ad revenues covering up to 50% of the ISP's capital expenditure. Complementing the subscription fees, the access ISPs can leverage the ad revenues to meaningfully incentivize the users with better Internet connectivity, such as 6–9 Mbps in extra data rates or 12–20 GB in extra data caps for the two considered ISPs.

[1]  L. Waverman Two-Sided Telecom Markets and the Unintended Consequences of Business Strategy , 2007 .

[2]  Gabi Nakibly,et al.  Website-Targeted False Content Injection by Network Operators , 2016, USENIX Security Symposium.

[3]  Joacim Tåg,et al.  Network Neutrality on the Internet: A Two-Sided Market Analysis , 2011, Inf. Econ. Policy.

[4]  Dan Wang,et al.  Sponsoring content: Motivation and pitfalls for content service providers , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[5]  Ignacio Castro,et al.  Using Tuangou to Reduce IP Transit Costs , 2014, IEEE/ACM Transactions on Networking.

[6]  Jean C. Walrand,et al.  Pricing and revenue sharing strategies for Internet service providers , 2005, IEEE Journal on Selected Areas in Communications.

[7]  A. Robert Calderbank,et al.  Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management , 2010, 2010 Proceedings IEEE INFOCOM.

[8]  Ignacio Castro,et al.  T4P: Hybrid interconnection for cost reduction , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[9]  Sangtae Ha,et al.  Sponsoring mobile data: An economic analysis of the impact on users and content providers , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[10]  Ignacio Castro,et al.  Remote Peering: More Peering without Internet Flattening , 2014, CoNEXT.

[11]  Konstantinos Poularakis,et al.  Pricing The Last Mile: Data Capping For Residential Broadband , 2014, CoNEXT.

[12]  Qiong Wang,et al.  Economic models of sponsored content in wireless networks with uncertain demand , 2013, 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[13]  Andrew M. Odlyzko,et al.  Internet Pricing and the History of Communications , 2001, Comput. Networks.

[14]  Ramesh K. Sitaraman,et al.  Trade-offs in optimizing the cache deployments of CDNs , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[15]  Sergey Gorinsky,et al.  Ads versus regular contents: Dissecting the web hosting ecosystem , 2017, 2017 IFIP Networking Conference (IFIP Networking) and Workshops.

[16]  A. Robert Calderbank,et al.  Network Pricing and Rate Allocation with Content Provider Participation , 2009, IEEE INFOCOM 2009.

[17]  Gustavo de Veciana,et al.  On flat-rate and usage-based pricing for tiered commodity internet services , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.