52 Pages Posted: 7 Jul 2009 Last revised: 4 Sep 2014
Date Written: September 11, 2013
When a television advertisement causes viewers to switch channels, it reduces the audience available to subsequent advertisers. This audience loss is not reflected in the advertisement price, resulting in an audience externality. The present article analyzes the television network's problem of how to select, order, and price advertisements in a break of endogenous length in order to correct audience externalities. It proposes the Audience Value Maximization Algorithm (AVMA), which considers many possible advertisement orderings within a dynamic programming framework with a strategy-proof pricing mechanism. Two datasets are used to estimate heterogeneity in viewer switching probabilities and advertiser willingness-to-pay parameters in order to evaluate the algorithm's performance. A series of simulations shows that AVMA typically maximizes audience value to advertisers, increases network revenue relative to several alternatives, and runs quickly enough to implement.
Keywords: Television, Advertising, Marketing, Algorithms, Auctions
Suggested Citation: Suggested Citation
Wilbur, Kenneth C. and Xu, Linli and Kempe, David, Correcting Audience Externalities in Television Advertising (September 11, 2013). Marketing Science. Available at SSRN: https://ssrn.com/abstract=1423702 or http://dx.doi.org/10.2139/ssrn.1423702