Attention Economy in Online Daily Deals: Demand Estimation using Structural Models

Online daily deal sites such as Groupon, which have grown explosively in recent years, allow merchants to gain the attention of online consumers and thereby increase their customer base. In this paper, we use structural models to estimate demand for a large daily deals site. We find that for a voucher with an average market share, a one per cent extension in the sale period is associated with a decrease in voucher demand by 0.22%. Moreover, a one per cent increase in the price is associated with a decrease in demand by 2.43%. Furthermore, the counter-factual experiment results show that, ceteris paribus, a one-day extension of the sale time period will decrease the product’s weekly market share by 8.9%. This suggests the presence of attention economy in online daily deals such that limited-time offers are likely to draw the consumers’ attention and consequently lead to additional sales.

[1]  Frank Verboven,et al.  Nested Logit or Random Coefficients Logit? A Comparison of Alternative Discrete Choice Models of Product Differentiation , 2011, Review of Economics and Statistics.

[2]  V. Kumar,et al.  Social coupons as a marketing strategy: a multifaceted perspective , 2012 .

[3]  Jean-Pierre Dubé Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks , 2004 .

[4]  Beibei Li,et al.  Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..

[5]  Rahul Telang,et al.  Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact , 2006, Inf. Syst. Res..

[6]  Martin Pesendorfer Retail sales: a study of pricing behavior in supermarkets , 2002 .

[7]  U. Dholakia,et al.  How Businesses Fare with Daily Deals: A Multi-Site Analysis of Groupon, Livingsocial, Opentable, Travelzoo, and BuyWithMe Promotions , 2011 .

[8]  Xitong Li,et al.  Measuring Effects of Observational Learning and Social-Network Word-of-Mouth (WOM) on the Sales of Daily-Deal Vouchers , 2013, 2013 46th Hawaii International Conference on System Sciences.

[9]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[10]  Aviv Nevo Measuring Market Power in the Ready-to-Eat Cereal Industry , 1998 .

[11]  Minjae Song,et al.  A Hybrid Discrete Choice Model of Differentiated Product Demand with an Application to Personal Computers , 2010 .

[12]  Minjae Song,et al.  Measuring consumerwelfareinthe CPU market: anapplication of the pure‐characteristics demand model , 2007 .

[13]  H. Varian A Model of Sales , 1980 .

[14]  Georgios Zervas,et al.  The groupon effect on yelp ratings: a root cause analysis , 2012, EC '12.

[15]  Steven T. Berry,et al.  Automobile Prices in Market Equilibrium , 1995 .

[16]  Austan Goolsbee,et al.  THE CONSUMER GAINS FROM DIRECT BROADCAST SATELLITES AND THE COMPETITION WITH CABLE TV , 2004 .

[17]  Thomas Sandholm,et al.  Collective attention and the dynamics of group deals , 2011, WWW.

[18]  Jiahua Wu,et al.  Threshold Effects in Online Group Buying , 2015, Manag. Sci..

[19]  Steven T. Berry Estimating Discrete-Choice Models of Product Differentiation , 1994 .

[20]  Ying Fan Ownership Consolidation and Product Characteristics: A Study of the US Daily Newspaper Market , 2013 .

[21]  F. Verboven,et al.  Liberalizing A Distribution System: The European Car Market , 2006 .

[22]  Rahul Telang,et al.  Internet Exchanges for Used Books: An Empirical Analysis of Welfare Implications , 2005 .

[23]  Eileen A. Hogan The Attention Economy: Understanding the New Currency of Business , 2001 .

[24]  Sang Pil Han,et al.  An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet , 2011, Manag. Sci..

[25]  Upender Subramanian,et al.  A Theory of Social Coupons , 2012 .

[26]  Steven Berry,et al.  The Pure Characteristics Demand Model , 2007 .

[27]  Sang Pil Han,et al.  Estimating Demand for Mobile Applications in the New Economy , 2014, Manag. Sci..

[28]  Frank Verboven,et al.  Nested Logit or Random Coefficients Logit? A Comparison of Alternative Discrete Models of Product Differentiation , 2011 .

[29]  Beibei Li,et al.  International Conference on Information Systems ( ICIS ) 2010 DESIGNING RANKING SYSTEMS FOR HOTELS ON TRAVEL SEARCH ENGINES TO ENHANCE USER EXPERIENCE , 2017 .

[30]  Benjamin Edelman,et al.  To Groupon or not to Groupon: The profitability of deep discounts , 2016 .

[31]  Erkut Y. Ozbay,et al.  Revealed Attention , 2009 .