Is Voluntary Profiling Welfare Enhancing?

Although consumer profiling advocates tout benefits from personalization, consumer advocacy groups oppose profiling in online markets because of concerns about privacy and price discrimination. Policies such as opt-out or opt-in that provide consumers the option to voluntarily participate in profiling are the favored compromise. We compare voluntary profiling to no profiling and show that voluntary profiling leads to some counterintuitive results. Consumers that do not participate in profiling and some that participate are worse off under voluntary profiling. Neither social welfare nor aggregate consumer surplus is necessarily higher under voluntary profiling; even when voluntary profiling leads to an increase in social welfare, it may come at the expense of consumer surplus. If the seller cannot price discriminate and charge only a uniform price for everyone or the seller can only charge different prices based on the consumer's participation status, then aggregate consumer surplus under voluntary profiling is higher and a reduction in privacy cost has a positive impact on all consumers as well as the seller. However, when personalized pricing is possible, reducing privacy cost alone may reduce aggregate consumer surplus. The primary reason for these results is that voluntary profiling allows the seller to identify high valuation consumers that have no incentive to participate and set a higher price for them (compared to no profiling) while simultaneously benefitting from the profile information of low valuation consumers that participate. However, a positive privacy cost mitigates the participation incentives of even low valuation consumers and hence sellers' ability to engage in price discrimination.

[1]  J. Dana,et al.  Designing a private industry: Government auctions with endogenous market structure , 1994 .

[2]  Eric K. Clemons,et al.  Price Dispersion and Differentiation in Online Travel: An Empirical Investigation , 2002, Manag. Sci..

[3]  Yongmin Chen,et al.  Paying Customers to Switch , 1997 .

[4]  D. Fudenberg,et al.  Perfect Bayesian equilibrium and sequential equilibrium , 1991 .

[5]  Yi Xu,et al.  On the Effects of Consumer Search and Firm Entry in a Multiproduct Competitive Market , 2008, Mark. Sci..

[6]  J. Turow,et al.  Open to Exploitation: America's Shoppers Online and Offline , 2005 .

[7]  Cary A. Deck,et al.  Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies , 2013, Inf. Syst. Res..

[8]  Ganesh Iyer,et al.  Research Note Consumer Addressability and Customized Pricing , 2002 .

[9]  Anindya Ghose,et al.  Personalized Pricing and Quality Differentiation , 2005, Manag. Sci..

[10]  Donna L. Hoffman,et al.  Building consumer trust online , 1999, CACM.

[11]  Andrew M. Odlyzko,et al.  Privacy, economics, and price discrimination on the Internet , 2003, ICEC '03.

[12]  J. M. Villas-Boas,et al.  The Targeting of Advertising , 2005 .

[13]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[14]  Glenn Ellison,et al.  Search, Obfuscation, and Price Elasticities on the Internet , 2004 .

[15]  Arun Sundararajan,et al.  Intelligent agents in electronic markets for information goods: customization, preference revelation and pricing , 2006, Decis. Support Syst..

[16]  Shivendu Shivendu,et al.  An Economic Model of Privacy: A Property Rights Approach to Regulatory Choices for Online Personalization , 2006, J. Manag. Inf. Syst..

[17]  Drew Fudenberg,et al.  Upgrades, Tradeins, and Buybacks , 1998 .

[18]  Alessandro Pavan,et al.  On the Optimality of Privacy in Sequential Contracting , 2006, J. Econ. Theory.

[19]  Cornelia Schön,et al.  On the Optimal Product Line Selection Problem with Price Discrimination , 2010, Manag. Sci..

[20]  Emin M. Dinlersoz,et al.  Quality-based Price Discrimination: Evidence from Internet Retailers’ Shipping Options , 2012 .

[21]  J. Miguel Villas-Boas,et al.  Price Cycles in Markets with Customer Recognition , 2004 .

[22]  John Morgan,et al.  Information gatekeepers and price discrimination on the internet , 2002 .

[23]  Julia Brande Earp,et al.  Innovative web use to learn about consumer behavior and online privacy , 2003, CACM.

[24]  K. Judd Credible Spatial Preemption , 1985 .

[25]  D. Fudenberg,et al.  Behavior-Based Price Discrimination and Customer Recognition , 2007 .

[26]  H. Varian,et al.  Conditioning Prices on Purchase History , 2005 .

[27]  Jie Zhang,et al.  Customizing Promotions in Online Stores , 2004 .

[28]  Z. John Zhang,et al.  Dynamic targeted pricing with strategic consumers , 2009 .

[29]  Kai Lung Hui,et al.  Consumer Privacy and Marketing Avoidance: A Static Model , 2008, Manag. Sci..

[30]  Alessandro Acquisti,et al.  Privacy and rationality in individual decision making , 2005, IEEE Security & Privacy.

[31]  Curtis R. Taylor Consumer Privacy and the Market for Customer Information , 2004 .

[32]  Andrew J. Rohm,et al.  Consumer Privacy and Name Removal across Direct Marketing Channels: Exploring Opt-In and Opt-Out Alternatives , 2000 .

[33]  Maria N. Arbatskaya,et al.  Ordered Search , 2004 .

[34]  S. Viswanathan,et al.  Online Infomediaries and Price Discrimination: Evidence from the Automotive Retailing Sector. , 2007 .

[35]  Ganesh Iyer,et al.  Consumer Addressability and Customized Pricing , 2001 .

[36]  Vincent Conitzer,et al.  Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases , 2011, Mark. Sci..

[37]  J. Miguel Villas-Boas,et al.  Dynamic Competition with Customer Recognition , 1999 .

[38]  Shivendu Shivendu,et al.  Mechanism Design for "Free" but "No Free Disposal" Services: The Economics of Personalization Under Privacy Concerns , 2010, Manag. Sci..

[39]  Barrie R. Nault Quality differentiation and adoption costs: The case for interorganizational information system pricing , 1997, Ann. Oper. Res..