Lower Price or Higher Reward? Measuring the Effect of Consumers' Preferences on Reward Programs

Despite criticisms regarding their effectiveness, reward programs today represent a prevalent and apparently successful form of marketing investment for several industries such as airlines, hotels, gas stations, and credit cards. To understand what might contribute to their success, this paper investigates the purchase behavior of consumers who participate in a reward program from the travel industry. We estimate a dynamic demand model of gasoline purchase, and compare the value that consumers attach to rewards with the value they attach to the money spent for gasoline. We find that there exists a significant portion of frequent travelers who extract more value from one dollar’s worth of rewards than from one dollar spent for gasoline. Most of the effectiveness of the reward program is due to the behavior of these consumers. Their insensitivity to price induces firms to increase fuel prices by 1 euro cent per liter, which corresponds to about 10% increase in their margins. The program also contributes to ...

[1]  Sanjog Misra,et al.  Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation , 2017, Mark. Sci..

[2]  V. J. Hotz,et al.  Conditional Choice Probabilities and the Estimation of Dynamic Models , 1993 .

[3]  John Rust.  Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher , 1987 .

[4]  P. Klemperer.  The Competitiveness of Markets with Switching Costs , 1987 .

[5]  Nick Barker,et al.  Buy now fly later: an investigation of airline frequent flyer programmes. , 1996 .

[6]  Andrew T. Ching,et al.  A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models , 2011, Quantitative Marketing and Economics.

[7]  Steven M. Shugan.  Brand Loyalty Programs: Are They Shams? , 2005 .

[8]  Wesley R. Hartmann,et al.  Do frequency reward programs create switching costs? A dynamic structural analysis of demand in a reward program , 2007 .

[9]  Mara Lederman,et al.  Do enhancements to loyalty programs affect demand? The impact of international frequent flyer partnerships on domestic airline demand , 2007 .

[10]  Andrew T. Ching,et al.  Bayesian Estimation of Dynamic Discrete Choice Models , 2009 .

[11]  M. Shi,et al.  Reward Programs and Tacit Collusion , 2001 .

[12]  Victor Aguirregabiria,et al.  Swapping the Nested Fixed-Point Algorithm: a Class of Estimators for Discrete Markov Decision Models , 2002 .

[13]  Praveen K. Kopalle,et al.  The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs , 2012, Mark. Sci..

[14]  P. Klemperer.  Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade , 1992 .

[15]  M. Shum,et al.  Nonparametric identification of dynamic models with unobserved state variables , 2008 .

[16]  Michael Lewis.  The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention , 2004 .

[17]  P. Klemperer,et al.  Multi-Period Competition with Switching Costs , 1992 .

[18]  John Rust,et al.  Convergence Properties of Policy Iteration , 2003, SIAM J. Control. Optim..

[20]  Ramon Caminal,et al.  ENDOGENOUS SWITCHING COSTS IN A DUOPOLY MODEL , 1990 .

[21]  H. Kasahara,et al.  Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices , 2009 .

[22]  Jeremy T. Fox,et al.  Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation by Jean-pierre Dubé, , 2012 .