Free Versus For-a-Fee: The Impact of a Paywall on the Pattern and Effectiveness of Word-of-Mouth via Social Media

Information goods providers such as print newspapers are experimenting with different pricing models for their online content. Despite research on the topic, it is still not clear how information pricing strategy influences word-of-mouth (WOM) via social media, which has become a dominant channel for raising awareness about a newspaper's articles and attracting new visitors to its website. Using The New York Times' paywall rollout as a natural experiment, our study examines how the implementation of paywall by a firm (i.e., a shift from "free" to "for-a-fee") influences the pattern and effectiveness of online WOM in social media. Our results indicate that implementing a paywall (i.e., charging for content that was earlier available for free) has a disproportionate impact on WOM for popular and niche articles, creating a longer tail in the WOM (i.e., content sharing) distribution. Further, we find that the impact of WOM on the NYT's website traffic weakens significantly after the introduction of a paywall. These results show that a paywall has implications for product and promotion strategies. The study offers novel and important implications for the theory and practice of strategic use of social media and paywall.

[1]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[2]  Dale A. Stirling,et al.  Information rules , 2003, SGMD.

[3]  Katherine L. Milkman,et al.  What Makes Online Content Viral? , 2012 .

[4]  Erik Brynjolfsson,et al.  Research Commentary - Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns , 2010, Inf. Syst. Res..

[5]  Eric M. Schwartz,et al.  What Drives Immediate and Ongoing Word of Mouth? , 2011 .

[6]  Lorin M. Hitt,et al.  Self Selection and Information Role of Online Product Reviews , 2007, Inf. Syst. Res..

[7]  Erik Brynjolfsson,et al.  Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales , 2011, Manag. Sci..

[8]  Vineet Kumar,et al.  The New York Times Paywall , 2012 .

[9]  Rahul Telang,et al.  Inferring app demand from publicly available data , 2013 .

[10]  Andrew B. Whinston,et al.  Content Sharing in a Social Broadcasting Environment: Evidence from Twitter , 2014, MIS Q..

[11]  I. Simonson,et al.  The Effect of Purchase Quantity and Timing on Variety-Seeking Behavior , 1990 .

[12]  Arun Sundararajan,et al.  Nonlinear Pricing of Information Goods , 2002, Manag. Sci..

[13]  Hsiang Iris Chyi,et al.  Willingness to Pay for Online News: An Empirical Study on the Viability of the Subscription Model , 2005 .

[14]  R. Picard Changing business models of online content services: Their implications for multimedia and other content producers , 2000 .

[15]  P. Danaher Optimal Pricing of New Subscription Services: Analysis of a Market Experiment , 2002 .

[16]  Paul A. Pavlou,et al.  Why Do Online Product Reviews Have a J-Shaped Distribution? Overcoming Biases in Online Word-of-Mouth Communication , 2007 .

[17]  Ravi Bapna,et al.  Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks - Online E-Companion Appendix , 2014, Manag. Sci..

[18]  Gal Oestreicher-Singer,et al.  Content or Community? A Digital Business Strategy for Content Providers in the Social Age , 2013, MIS Q..

[19]  Jui Ramaprasad,et al.  Research Note - Music Blogging, Online Sampling, and the Long Tail , 2012, Inf. Syst. Res..

[20]  Shivendu Shivendu,et al.  Managing Piracy: Pricing and Sampling Strategies for Digital Experience Goods in Vertically Segmented Markets , 2003, Inf. Syst. Res..

[21]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[22]  Anita Elberse Should You Invest in the Long Tail , 2008 .

[23]  Sungjune Park,et al.  Optimal Pricing of Digital Experience Goods Under Piracy , 2007, J. Manag. Inf. Syst..

[24]  Daniel G. Goldstein,et al.  The structure of online diffusion networks , 2012, EC '12.

[25]  Chris Anderson,et al.  The Long Tail: Why the Future of Business is Selling Less of More , 2006 .

[26]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[27]  Sridhar Seshadri,et al.  Product Development and Pricing Strategy for Information Goods Under Heterogeneous Outside Opportunities , 2007, Inf. Syst. Res..

[28]  P. Bone Word-of-mouth effects on short-term and long-term product judgments , 1995 .

[29]  E. Duflo,et al.  How Much Should We Trust Differences-in-Differences Estimates? , 2001 .

[30]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[31]  Yannis Bakos,et al.  Bundling Information Goods: Pricing, Profits and Efficiency , 1998 .

[32]  Chrysanthos Dellarocas,et al.  Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products? , 2010, J. Manag. Inf. Syst..

[33]  William N. McPhee,et al.  Formal theories of mass behavior , 1964 .

[34]  Vidyanand Choudhary,et al.  Use of Pricing Schemes for Differentiating Information Goods , 2010, Inf. Syst. Res..

[35]  Andrew Gelman,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .

[36]  Margaret C. Campbell Perceptions of Price Unfairness: Antecedents and Consequences , 1999 .

[37]  Lan Xia,et al.  The Price is Unfair! A Conceptual Framework of Price Fairness Perceptions , 2004 .

[38]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[39]  Lorin M. Hitt,et al.  Customized Bundle Pricing for Information Goods: A Nonlinear Mixed-Integer Programming Approach , 2008, Manag. Sci..

[40]  Rajiv M. Dewan,et al.  Management and Valuation of Advertisement-Supported Web Sites , 2002, J. Manag. Inf. Syst..

[41]  Michael D. Smith,et al.  How Video Rental Patterns Change as Consumers Move Online , 2012, Manag. Sci..