Loyalty Program Liabilities and Point Values

Problem definition: Loyalty programs (LPs) introduce a new currency—the points—through which customers transact with firms. Such points represent a promise for future service, and their monetary value thus counts as a liability on the issuing firms’ balance sheets. Consequently, adjusting the value...

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Main Authors: Chun, So Yeon, Iancu, Dan A., Trichakis, Nikolaos
Other Authors: Sloan School of Management
Format: Article
Language:English
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2021
Online Access:https://hdl.handle.net/1721.1/130502
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author Chun, So Yeon
Iancu, Dan A.
Trichakis, Nikolaos
author2 Sloan School of Management
author_facet Sloan School of Management
Chun, So Yeon
Iancu, Dan A.
Trichakis, Nikolaos
author_sort Chun, So Yeon
collection MIT
description Problem definition: Loyalty programs (LPs) introduce a new currency—the points—through which customers transact with firms. Such points represent a promise for future service, and their monetary value thus counts as a liability on the issuing firms’ balance sheets. Consequently, adjusting the value of points has a first-order effect on profitability and performance and emerges as a core operating decision. We study the problem of optimally setting the points’ value in view of their associated liabilities. Academic/practical relevance: Firms across numerous industries increasingly utilize LPs. The sheer magnitude of LPs coupled with recent changes in accounting rules have turned the associated liabilities into significant balance-sheet items, amounting to billions of dollars. Managers (from chief financial officers to chief marketing officers) struggle with the problem of adjusting the points’ value in view of these liabilities. Academic work is primarily aimed at understanding LPs as marketing tools, without studying the liability angle. Methodology: We develop a multiperiod model and use dynamic programming techniques and comparative statics analysis. Results: We show that the optimal policies depend on a new financial metric, given by the sum of the firm’s realized cash flows and outstanding deferred revenue, which we refer to as the profit potential. The total value of loyalty points is set to hit a particular target, which increases with the profit potential. We find that loyalty programs can act as buffers against uncertainty, with the value of points increasing (decreasing) under strong (weak) operating performance and increasing with uncertainty. Managerial implications: Setting the point values and adjusting operating decisions in view of LP liabilities should be done by tracking the firm’s profit potential. Loyalty programs can act as hedging tools against uncertainty in future operating performance, which provides a new rationale for their existence, even in the absence of competition.
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spelling mit-1721.1/1305022021-09-20T19:07:00Z Loyalty Program Liabilities and Point Values Chun, So Yeon Iancu, Dan A. Trichakis, Nikolaos Sloan School of Management Problem definition: Loyalty programs (LPs) introduce a new currency—the points—through which customers transact with firms. Such points represent a promise for future service, and their monetary value thus counts as a liability on the issuing firms’ balance sheets. Consequently, adjusting the value of points has a first-order effect on profitability and performance and emerges as a core operating decision. We study the problem of optimally setting the points’ value in view of their associated liabilities. Academic/practical relevance: Firms across numerous industries increasingly utilize LPs. The sheer magnitude of LPs coupled with recent changes in accounting rules have turned the associated liabilities into significant balance-sheet items, amounting to billions of dollars. Managers (from chief financial officers to chief marketing officers) struggle with the problem of adjusting the points’ value in view of these liabilities. Academic work is primarily aimed at understanding LPs as marketing tools, without studying the liability angle. Methodology: We develop a multiperiod model and use dynamic programming techniques and comparative statics analysis. Results: We show that the optimal policies depend on a new financial metric, given by the sum of the firm’s realized cash flows and outstanding deferred revenue, which we refer to as the profit potential. The total value of loyalty points is set to hit a particular target, which increases with the profit potential. We find that loyalty programs can act as buffers against uncertainty, with the value of points increasing (decreasing) under strong (weak) operating performance and increasing with uncertainty. Managerial implications: Setting the point values and adjusting operating decisions in view of LP liabilities should be done by tracking the firm’s profit potential. Loyalty programs can act as hedging tools against uncertainty in future operating performance, which provides a new rationale for their existence, even in the absence of competition. 2021-04-22T15:23:41Z 2021-04-22T15:23:41Z 2020-03 2021-04-07T11:56:30Z Article http://purl.org/eprint/type/JournalArticle 1523-4614 1526-5498 https://hdl.handle.net/1721.1/130502 Chun, So Yeon et al. "Loyalty Program Liabilities and Point Values." Manufacturing and Service Operations Management 22, 2 (March 2020): 223-259. © 2019 INFORMS en http://dx.doi.org/10.1287/msom.2018.0748 Manufacturing and Service Operations Management Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute for Operations Research and the Management Sciences (INFORMS) other univ website
spellingShingle Chun, So Yeon
Iancu, Dan A.
Trichakis, Nikolaos
Loyalty Program Liabilities and Point Values
title Loyalty Program Liabilities and Point Values
title_full Loyalty Program Liabilities and Point Values
title_fullStr Loyalty Program Liabilities and Point Values
title_full_unstemmed Loyalty Program Liabilities and Point Values
title_short Loyalty Program Liabilities and Point Values
title_sort loyalty program liabilities and point values
url https://hdl.handle.net/1721.1/130502
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AT trichakisnikolaos loyaltyprogramliabilitiesandpointvalues