Quantifying Mileage Runs

20 Pages Posted: 9 Aug 2019

See all articles by Yang Chen

Yang Chen

University of Western Ontario - Ivey Business School

Anton Ovchinnikov

Smith School of Business - Queen's University; INSEAD - Decision Sciences

Date Written: August 6, 2019

Abstract

This paper reports on the results of a large-scale field quasi-experiment in a premium status tier reward loyalty program setting. Our main goal is to understand strategic consumer behavior in such programs, and quantify the value of the tier reward by estimating the associated change in reward points collected strategically by consumers. We follow the addition of a new reward tier to an existing loyalty program and by using the program participants as their own controls, compare their behaviors before and after the change in the program structure. We further hypothesize heterogeneity within program participants with respect to their strategic response and document rich patterns of participants' behaviors, which we associate with their baseline spending habits and with whether they are obtaining or maintaining their current status.

Keywords: strategic behavior; premium status; tier reward; loyalty program; empirical; quasi-experiment

Suggested Citation

Chen, Yang and Ovchinnikov, Anton, Quantifying Mileage Runs (August 6, 2019). Available at SSRN: https://ssrn.com/abstract=3431694 or http://dx.doi.org/10.2139/ssrn.3431694

Yang Chen

University of Western Ontario - Ivey Business School ( email )

1151 Richmond Street North
Ontario N6A 3K7
Canada

Anton Ovchinnikov (Contact Author)

Smith School of Business - Queen's University ( email )

143 Union Str. West
Kingston, ON K7L3N6
Canada

INSEAD - Decision Sciences ( email )

United States

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