Skip to main content.

Refereed Papers

Track: Internet Monetization: Online Advertising

Paper Title:
Dynamic Cost-Per-Action Mechanisms and Applications to Online Advertising


We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user takes a specific action(e.g. fills out a form) or completes a transaction on their websites. We focus on designing efficient and incentive compatible mechanisms that use this charging scheme. We describe a mechanism based on a sampling-based learning algorithm that under suitable assumptions is asymptotically individually rational, asymptotically Bayesian incentive compatible and asymptotically ex-ante efficient. In particular, we demonstrate our mechanism for the case where the utility functions of the advertisers are independent and identically-distributed random variables as well as the case where they evolve like independent reflected Brownian motions.

PDF version

Inquiries can be sent to: Email contact: program-chairs at

Valid XHTML 1.0 Transitional