Skip to main content
Top
Published in: Journal of the Academy of Marketing Science 3/2024

08-08-2023 | Original Empirical Research

Customer behavior across competitive loyalty programs

Authors: Farnoosh Khodakarami, J. Andrew Petersen, Rajkumar Venkatesan

Published in: Journal of the Academy of Marketing Science | Issue 3/2024

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Customers can belong to multiple competing loyalty programs each with multiple reward levels. We extend loyalty program theories by proposing five mechanisms that capture the competitive effects in multi-firm, multi-level loyalty programs. We empirically test our hypotheses using data from a loyalty program management app where customers manage points independently across competing firms. We utilize goal shielding theory to show how a customer’s purchase at the focal firm is affected by the customer’s purchases and redemptions across competing firms. Specifically, we find that a customer’s purchase probability at the focal firm decreases after they qualify for a reward independent of redemption at a competing firm (competitive mere reward qualification) and after they redeem a reward at a competing firm (competitive rewarded behavior). Further, we find that the customer’s purchase probability at the focal firm increases if the customer is far from both the qualified and higher-level rewards at the competing firm (competitive stuck-in-the-middle), and if the customer accelerated their purchase frequency to qualify for or redeem a reward at the competing firm (competitive effort balancing post qualification and redemption). Four lab experiments supplement our empirical findings with causal evidence. Our research shows that customer progress toward a goal in a loyalty program is influenced by competing loyalty programs.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
4
To provide some examples, here are the reward options that are offered by one of the restaurants in our dataset: free bag of chips or 1/4 pound of salad (10 points); free truffle (20 points); free bread ends & house dressing (30 points); free sandwich (65 points). For another restaurant, the rewards are as follows: free cookie, fountain drink or bag of chips (15 points); free entrée (80 points).
 
5
Figure 1 illustrates purchase probability, but we expect a similar impact on the redemption probability.
 
6
A similar effect was demonstrated by Stourm et al. (2015) in the context of linear loyalty program.
 
7
It is worthwhile to mention that the effort balancing is different from a temporal displacement in purchase incidence across firms after qualification or redemption at one firm. The temporal displacement effect argues if a customer exhausts their spending budget by accelerating the purchase in one firm, the customer will purchase less across all firms post qualification or redemption. Whereas effort balancing argues accelerating purchases in one firm to achieve a reward qualification or redemption leads to a decrease in engagement with that firm and an increase in engagement across other firms after the qualification or redemption. This represents a rebalancing of efforts to pursue goals/rewards and purchase across firms (Goswami and Urminsky, 2017).
 
8
Restaurant 6 does have a higher average spend than the other 5 restaurants. This is likely because at restaurant 6, splitting checks is not an option. The entrée prices per person are similar with the other 5 restaurants.
 
9
We acknowledge that customers can make more than one purchase at the same restaurant in a given month; however, this rarely happens in our dataset. In 96.7% of observations in our dataset, customers make either 0 or 1 purchase at a firm in a given month. Thus, monthly aggregation of data does not seem to pose a major concern.
 
10
We used the critical values from Nahm et al. (2022) (Table W7, Web Appendix H) since this table reports critical values for N = 4, which is the observation window we use for our dataset.
 
11
We decided not to model spending per visit, since in the restaurant industry spending per visit is mainly based on customer needs (e.g., lunch vs. dinner, group size, dining occasion, etc.), and is less affected by loyalty programs. Customers may dine more frequently at a restaurant to benefit from its loyalty program, but customers are less likely to eat more at each dining occasion just to get more loyalty points.
 
12
We discuss \({\widehat{R}}_{\text{ijt }}^{\text{P}}\) and \({\widehat{\varepsilon }}_{\text{ijt }}^{\text{mrq}}\) in detail in the following section on Identification Strategy.
 
13
We note that we do not include mere reward qualification in the Redemption model as it is a criterion for sample selection and we do not include effort balancing after redemption in the Redemption model because it is a post redemption effect, not a driver of the decision to redeem a reward.
 
14
The firms in our data set do not run any advertising or direct marketing that is targeted toward specific customers, so there is no endogeneity concern with the marketing mix.
 
15
This is an approach similar to one used in Hausman and Leibtag (2007) who used sales of other food products as an instrument for food sales of the focal product across firms.
 
16
We also run the same model with customer fixed effects (see Web Appendix B). We find similar results for all the variables in both the customer random and fixed effects models. However, due to the large number of customers with the relatively small number of observations per customer (large n, small t), our fixed effects models lose many observations from the estimation. We also estimated several other model specifications which we detail in Web Appendix D.
 
17
We also conducted an experiment where the participants where “not” informed that they did not have punch cards. The results are similar and available from the author(s).
 
18
The treatment condition participants were informed that they enjoyed the experience of a free coffee. A pre-test indicated that this manipulation induced a sense of gratitude among the treatment condition participants. Web Appendix E provides details about the scenario and the manipulation.
 
19
We find similar effects when the control condition is a new loyalty program in Mike’s instead of qualifying for a reward at Mike’s. Details are available from author(s) upon request.
 
20
Instead of Mike’s and Joe’s for the name of coffee shop, we referred to the coffee shops as Store A and B in this and the next experiment since participants do not have to choose a firm. The firm name hence does not affect the consumer decision when we are testing redemption as the dependent variable.
 
21
We find a similar effect when the control condition is a new loyalty program in Store A instead of the customer qualifying for a reward with 10 punches in Store A. Details are available from author(s) upon request.
 
22
Based on average value of rewards in the dataset (54 points), we set small (14 points), medium (54 points), and large (94 points) rewards. Low and high reward levels are calculated as one standard deviation from the average value.
 
Literature
go back to reference Athey, S., & Imbens, G. W. (2017). The state of applied econometrics: Causality and policy evaluation. Journal of Economic Perspectives, 31(2), 3–32.CrossRef Athey, S., & Imbens, G. W. (2017). The state of applied econometrics: Causality and policy evaluation. Journal of Economic Perspectives, 31(2), 3–32.CrossRef
go back to reference Bartus, T., & Roodman, D. (2014). Estimation of multi-process survival models with cmp. The Stata Journal, 14(4), 756–777.CrossRef Bartus, T., & Roodman, D. (2014). Estimation of multi-process survival models with cmp. The Stata Journal, 14(4), 756–777.CrossRef
go back to reference Bélanger, J. J., Lafreniere, M. A. K., Vallerand, R. J., & Kruglanski, A. W. (2013). When Passion Makes the Heart Grow Colder: The Role of Passion in Alternative Goal Suppression. Journal of Personality and Social Psychology, 104(1), 126–147.CrossRef Bélanger, J. J., Lafreniere, M. A. K., Vallerand, R. J., & Kruglanski, A. W. (2013). When Passion Makes the Heart Grow Colder: The Role of Passion in Alternative Goal Suppression. Journal of Personality and Social Psychology, 104(1), 126–147.CrossRef
go back to reference Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value. Journal of the Academy of Marketing Science, 28(1), 95–108.CrossRef Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value. Journal of the Academy of Marketing Science, 28(1), 95–108.CrossRef
go back to reference Bonezzi, A., Miguel Brendl, C., & De Angelis, M. (2011). Stuck in the Middle: The Psychophysics of Goal Pursuit. Psychological Science, 22(5), 607–612.CrossRef Bonezzi, A., Miguel Brendl, C., & De Angelis, M. (2011). Stuck in the Middle: The Psychophysics of Goal Pursuit. Psychological Science, 22(5), 607–612.CrossRef
go back to reference Custers, R., & Aarts, H. (2005). Positive Affect as Implicit Motivator: On the Nonconscious Operation of Behavioral Goals. Journal of Personality and Social Psychology, 89(2), 129–142.CrossRef Custers, R., & Aarts, H. (2005). Positive Affect as Implicit Motivator: On the Nonconscious Operation of Behavioral Goals. Journal of Personality and Social Psychology, 89(2), 129–142.CrossRef
go back to reference Danaher, P. J., Smith, M. S., Ranasinghe, K., & Danaher, T. S. (2015). Where, when, and how long: Factors that influence the redemption of mobile phone coupons. Journal of Marketing Research, 52(5), 710–725.CrossRef Danaher, P. J., Smith, M. S., Ranasinghe, K., & Danaher, T. S. (2015). Where, when, and how long: Factors that influence the redemption of mobile phone coupons. Journal of Marketing Research, 52(5), 710–725.CrossRef
go back to reference Dorotic, M., Fok, D., Verhoef, P. C., & Bijmolt, T. H. A. (2011). Do Vendors Benefit From Promotions in a Multi-Vendor Loyalty Program? Marketing Letters, 22(4), 341–356.CrossRef Dorotic, M., Fok, D., Verhoef, P. C., & Bijmolt, T. H. A. (2011). Do Vendors Benefit From Promotions in a Multi-Vendor Loyalty Program? Marketing Letters, 22(4), 341–356.CrossRef
go back to reference Dorotic, M., Verhoef, P. C., Fok, D., & Bijmolt, T. H. A. (2014). Reward Redemption Effects In A Loyalty Program When Customers Choose How Much And When To Redeem. International Journal of Research in Marketing, 31(4), 339–355.CrossRef Dorotic, M., Verhoef, P. C., Fok, D., & Bijmolt, T. H. A. (2014). Reward Redemption Effects In A Loyalty Program When Customers Choose How Much And When To Redeem. International Journal of Research in Marketing, 31(4), 339–355.CrossRef
go back to reference Dorotic, M., Fok, D., Verhoef, P. C., & Bijmolt, T. H. A. (2021). Synergistic and Cannibalization Effects in a Partnership Loyalty Program. Journal of the Academy of Marketing Science, 49, 1021–1042.CrossRef Dorotic, M., Fok, D., Verhoef, P. C., & Bijmolt, T. H. A. (2021). Synergistic and Cannibalization Effects in a Partnership Loyalty Program. Journal of the Academy of Marketing Science, 49, 1021–1042.CrossRef
go back to reference Dowling, G. R., & Uncles, M. (1997). Do Customer Loyalty Programs Really Work? Sloan Management Review, 38(4), 71–82. Dowling, G. R., & Uncles, M. (1997). Do Customer Loyalty Programs Really Work? Sloan Management Review, 38(4), 71–82.
go back to reference Drèze, X., & Nunes, J. C. (2004). Using Combined-currency Prices to Lower Consumers’ Perceived Cost. Journal of Marketing Research, 41(1), 59–72.CrossRef Drèze, X., & Nunes, J. C. (2004). Using Combined-currency Prices to Lower Consumers’ Perceived Cost. Journal of Marketing Research, 41(1), 59–72.CrossRef
go back to reference Drèze, X., & Nunes, J. C. (2008). Feeling Superior: The Impact of Loyalty Program Structure on Consumers’ Perceptions of Status. Journal of Consumer Research, 35(6), 890–905.CrossRef Drèze, X., & Nunes, J. C. (2008). Feeling Superior: The Impact of Loyalty Program Structure on Consumers’ Perceptions of Status. Journal of Consumer Research, 35(6), 890–905.CrossRef
go back to reference Drèze, X., & Nunes, J. C. (2011). Recurring Goals and Learning: The Impact of Successful Reward Attainment on Purchase Behavior. Journal of Marketing Research, 48(2), 268–281.CrossRef Drèze, X., & Nunes, J. C. (2011). Recurring Goals and Learning: The Impact of Successful Reward Attainment on Purchase Behavior. Journal of Marketing Research, 48(2), 268–281.CrossRef
go back to reference Fishbach, A., & Dhar, R. (2005). Goals as Excuses or Guides: The Liberating Effect of Perceived Goal Progress on Choice. Journal of Consumer Research, 32(3), 370–377.CrossRef Fishbach, A., & Dhar, R. (2005). Goals as Excuses or Guides: The Liberating Effect of Perceived Goal Progress on Choice. Journal of Consumer Research, 32(3), 370–377.CrossRef
go back to reference Fishbach, A., Shah, J. Y., & Kruglanski, A. W. (2004). Emotional Transfer in Goal Systems. Journal of Experimental Social Psychology, 40(6), 723–738.CrossRef Fishbach, A., Shah, J. Y., & Kruglanski, A. W. (2004). Emotional Transfer in Goal Systems. Journal of Experimental Social Psychology, 40(6), 723–738.CrossRef
go back to reference Fishbach, A., Zhang, Y., & Koo, M. (2009). The Dynamics of Self-regulation. European Review of Social Psychology, 20(1), 315–344.CrossRef Fishbach, A., Zhang, Y., & Koo, M. (2009). The Dynamics of Self-regulation. European Review of Social Psychology, 20(1), 315–344.CrossRef
go back to reference Fishbach, A., Eyal, T., & Finkelstein, S. R. (2010). How Positive and Negative Feedback Motivate Goal Pursuit. Social and Personality Psychology Compass, 4(8), 517–530.CrossRef Fishbach, A., Eyal, T., & Finkelstein, S. R. (2010). How Positive and Negative Feedback Motivate Goal Pursuit. Social and Personality Psychology Compass, 4(8), 517–530.CrossRef
go back to reference Gopalakrishnan, A., Jiang, Z., Nevskaya, Y., & Thomadsen, R. (2021). Can Non-tiered Customer Loyalty Programs Be Profitable? Marketing Science, 40(3), 508–526.CrossRef Gopalakrishnan, A., Jiang, Z., Nevskaya, Y., & Thomadsen, R. (2021). Can Non-tiered Customer Loyalty Programs Be Profitable? Marketing Science, 40(3), 508–526.CrossRef
go back to reference Goswami, I., & Urminsky, O. (2017). The Dynamic Effect of Incentives on Post-Reward Task Engagement. Journal of Experimental Psychology: General, 146(1), 1–19.CrossRef Goswami, I., & Urminsky, O. (2017). The Dynamic Effect of Incentives on Post-Reward Task Engagement. Journal of Experimental Psychology: General, 146(1), 1–19.CrossRef
go back to reference Hasebe, T. (2013). Copula-based Maximum-likelihood Estimation of Sample-selection Models. The Stata Journal, 13(3), 547–573.CrossRef Hasebe, T. (2013). Copula-based Maximum-likelihood Estimation of Sample-selection Models. The Stata Journal, 13(3), 547–573.CrossRef
go back to reference Hartmann, W. R., & Viard, V. B. (2008). Do Frequency Reward Programs Create Switching Costs? A Dynamic Structural Analysis of Demand in a Reward Program. Quantitative Marketing and Economics, 6(2), 109–137.CrossRef Hartmann, W. R., & Viard, V. B. (2008). Do Frequency Reward Programs Create Switching Costs? A Dynamic Structural Analysis of Demand in a Reward Program. Quantitative Marketing and Economics, 6(2), 109–137.CrossRef
go back to reference Hausman, J., & Leibtag, E. (2007). Consumer benefits from increased competition in shopping outlets: Measuring the effect of Wal-Mart. Journal of Applied Econometrics, 22(7), 1157–1177.CrossRef Hausman, J., & Leibtag, E. (2007). Consumer benefits from increased competition in shopping outlets: Measuring the effect of Wal-Mart. Journal of Applied Econometrics, 22(7), 1157–1177.CrossRef
go back to reference Isen, A. M. (2000). Positive Affect and Decision Making. In M. Lewis & J. Haviland-Jones (Eds.), Handbook of emotions (2nd ed., pp. 417–435). Guilford. Isen, A. M. (2000). Positive Affect and Decision Making. In M. Lewis & J. Haviland-Jones (Eds.), Handbook of emotions (2nd ed., pp. 417–435). Guilford.
go back to reference Jhang, J. H., & Lynch, J. G. (2015). Pardon the Interruption: Goal Proximity, Perceived Spare Time, and Impatience. Journal of Consumer Research, 41(5), 1267–1283.CrossRef Jhang, J. H., & Lynch, J. G. (2015). Pardon the Interruption: Goal Proximity, Perceived Spare Time, and Impatience. Journal of Consumer Research, 41(5), 1267–1283.CrossRef
go back to reference Kahn, B. E. (1995). Consumer Variety-Seeking Among Goods and Services: An Integrative Review. Journal of Retailing and Consumer Services, 2(3), 139–148.CrossRef Kahn, B. E. (1995). Consumer Variety-Seeking Among Goods and Services: An Integrative Review. Journal of Retailing and Consumer Services, 2(3), 139–148.CrossRef
go back to reference Kahn, B. E., & Isen, A. M. (1993). The Influence of Positive Affect on Variety Seeking among Safe, Enjoyable Products. Journal of Consumer Research, 20(2), 257–270.CrossRef Kahn, B. E., & Isen, A. M. (1993). The Influence of Positive Affect on Variety Seeking among Safe, Enjoyable Products. Journal of Consumer Research, 20(2), 257–270.CrossRef
go back to reference Keh, H. T., & Lee, Y. H. (2006). Do Reward Programs Build Loyalty For Services?: The Moderating Effect of Satisfaction on Type and Timing of Rewards. Journal of Retailing, 82(2), 127–136.CrossRef Keh, H. T., & Lee, Y. H. (2006). Do Reward Programs Build Loyalty For Services?: The Moderating Effect of Satisfaction on Type and Timing of Rewards. Journal of Retailing, 82(2), 127–136.CrossRef
go back to reference Kim, B.-D., Shi, M., & Srinivasan, K. (2001). Reward Programs and Tacit Collusion. Marketing Science, 20(2), 99–120.CrossRef Kim, B.-D., Shi, M., & Srinivasan, K. (2001). Reward Programs and Tacit Collusion. Marketing Science, 20(2), 99–120.CrossRef
go back to reference Kivetz, R., & Simonson, I. (2002). Earning the Right to Indulge: Effort as a Determinant of Customer Preferences Toward Frequency Program Rewards. Journal of Marketing Research, 39(2), 155–170.CrossRef Kivetz, R., & Simonson, I. (2002). Earning the Right to Indulge: Effort as a Determinant of Customer Preferences Toward Frequency Program Rewards. Journal of Marketing Research, 39(2), 155–170.CrossRef
go back to reference Kivetz, R., Urminsky, O., & Zheng, Y. (2006). The Goal-gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention. Journal of Marketing Research, 43(1), 39–58.CrossRef Kivetz, R., Urminsky, O., & Zheng, Y. (2006). The Goal-gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention. Journal of Marketing Research, 43(1), 39–58.CrossRef
go back to reference Kopalle, P. K., Yacheng, S., Neslin, S. A., Sun, B., & Swaminathan, V. (2012). The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs. Marketing Science, 31(2), 216–235.CrossRef Kopalle, P. K., Yacheng, S., Neslin, S. A., Sun, B., & Swaminathan, V. (2012). The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs. Marketing Science, 31(2), 216–235.CrossRef
go back to reference Kopalle, P. K., & Neslin, S. A. (2003). The Economic Viability of Frequency Reward Programs in a Strategic Competitive Environment. Review of Marketing Science, 1(1), 0000102202154656161002.CrossRef Kopalle, P. K., & Neslin, S. A. (2003). The Economic Viability of Frequency Reward Programs in a Strategic Competitive Environment. Review of Marketing Science, 1(1), 0000102202154656161002.CrossRef
go back to reference Kumar, V., & Shah, D. (2004). Building and Sustaining Profitable Customer Loyalty for the 21st Century. Journal of Retailing, 80(4), 317–329.CrossRef Kumar, V., & Shah, D. (2004). Building and Sustaining Profitable Customer Loyalty for the 21st Century. Journal of Retailing, 80(4), 317–329.CrossRef
go back to reference Kwong, J. Y., Soman, D., & Ho, C. K. (2011). The Role of Computational Ease on the Decision to Spend Loyalty Program Points. Journal of Consumer Psychology, 21(2), 146–156.CrossRef Kwong, J. Y., Soman, D., & Ho, C. K. (2011). The Role of Computational Ease on the Decision to Spend Loyalty Program Points. Journal of Consumer Psychology, 21(2), 146–156.CrossRef
go back to reference Lal, R., & Bell, D. E. (2003). The Impact of Frequent Shopper Programs in Grocery Retailing. Quantitative Marketing and Economics, 1(2), 179–202.CrossRef Lal, R., & Bell, D. E. (2003). The Impact of Frequent Shopper Programs in Grocery Retailing. Quantitative Marketing and Economics, 1(2), 179–202.CrossRef
go back to reference Laran, J. (2016). Consumer Goal Pursuit. Current Opinion in Psychology, 10(Aug), 22–26.CrossRef Laran, J. (2016). Consumer Goal Pursuit. Current Opinion in Psychology, 10(Aug), 22–26.CrossRef
go back to reference Laran, J., & Janiszewski, C. (2008). Behavioral Consistency and Inconsistency in the Resolution of Goal Conflict. Journal of Consumer Research, 35(6), 967–984.CrossRef Laran, J., & Janiszewski, C. (2008). Behavioral Consistency and Inconsistency in the Resolution of Goal Conflict. Journal of Consumer Research, 35(6), 967–984.CrossRef
go back to reference Lemon, K. N., & Wangenheim, F. V. (2009). The Reinforcing Effects of Loyalty Program Partnerships and Core Service Usage: A Longitudinal Analysis. Journal of Service Research, 11(4), 357–370.CrossRef Lemon, K. N., & Wangenheim, F. V. (2009). The Reinforcing Effects of Loyalty Program Partnerships and Core Service Usage: A Longitudinal Analysis. Journal of Service Research, 11(4), 357–370.CrossRef
go back to reference Lewis, M. (2004). The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention. Journal of Marketing Research, 41(3), 281–292.CrossRef Lewis, M. (2004). The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention. Journal of Marketing Research, 41(3), 281–292.CrossRef
go back to reference Liu, Y. (2007). The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty. Journal of Marketing, 71(4), 19–35.CrossRef Liu, Y. (2007). The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty. Journal of Marketing, 71(4), 19–35.CrossRef
go back to reference Liu, J., & Ansari, A. (2020). Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs. Journal of Marketing Research, 57(3), 422–444.CrossRef Liu, J., & Ansari, A. (2020). Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs. Journal of Marketing Research, 57(3), 422–444.CrossRef
go back to reference Liu, Y., & Yang, R. (2009). Competing Loyalty Programs: Impact of Market Saturation, Market Share, and Category Expandability. Journal of Marketing, 73(1), 93–108.CrossRef Liu, Y., & Yang, R. (2009). Competing Loyalty Programs: Impact of Market Saturation, Market Share, and Category Expandability. Journal of Marketing, 73(1), 93–108.CrossRef
go back to reference Louro, M. J., Pieters, R., & Zeelenberg, M. (2007). Dynamics of Multiple-Goal Pursuit. Journal of Personality and Social Psychology, 93(2), 174–193.CrossRef Louro, M. J., Pieters, R., & Zeelenberg, M. (2007). Dynamics of Multiple-Goal Pursuit. Journal of Personality and Social Psychology, 93(2), 174–193.CrossRef
go back to reference Mägi, Anne W. (2003). Share of Wallet in Retailing: The Effects of Customer Satisfaction, Loyalty Cards and Shopper Characteristics. Journal of Retailing, 79(2), 97–106.CrossRef Mägi, Anne W. (2003). Share of Wallet in Retailing: The Effects of Customer Satisfaction, Loyalty Cards and Shopper Characteristics. Journal of Retailing, 79(2), 97–106.CrossRef
go back to reference McAlister, L., & Pessemier, E. (1982). Variety Seeking Behavior: An Interdisciplinary Review. Journal of Consumer Research, 9(3), 311–322.CrossRef McAlister, L., & Pessemier, E. (1982). Variety Seeking Behavior: An Interdisciplinary Review. Journal of Consumer Research, 9(3), 311–322.CrossRef
go back to reference Meyer-Waarden, Lars. (2007). The Effects of Loyalty Programs on Customer Lifetime Duration and Share of Wallet. Journal of Retailing, 83(2), 223–36.CrossRef Meyer-Waarden, Lars. (2007). The Effects of Loyalty Programs on Customer Lifetime Duration and Share of Wallet. Journal of Retailing, 83(2), 223–36.CrossRef
go back to reference Nahm, I. Y., Ahearne, M. J., Lee, N., & Tirunillai, S. (2022). Managing Positive and Negative Trends in Sales Call Outcomes: The Role of Momentum. Journal of Marketing Research, 59(6), 1120–1140.CrossRef Nahm, I. Y., Ahearne, M. J., Lee, N., & Tirunillai, S. (2022). Managing Positive and Negative Trends in Sales Call Outcomes: The Role of Momentum. Journal of Marketing Research, 59(6), 1120–1140.CrossRef
go back to reference Orehek, E., & Vazeou-Nieuwenhuis, A. (2013). Sequential and concurrent strategies of multiple goal pursuit. Review of General Psychology, 17(3), 339–349.CrossRef Orehek, E., & Vazeou-Nieuwenhuis, A. (2013). Sequential and concurrent strategies of multiple goal pursuit. Review of General Psychology, 17(3), 339–349.CrossRef
go back to reference Petrin, A., & Train, K. (2010). A control function approach to endogeneity in consumer choice models. Journal of Marketing Research, 47(1), 3–13.CrossRef Petrin, A., & Train, K. (2010). A control function approach to endogeneity in consumer choice models. Journal of Marketing Research, 47(1), 3–13.CrossRef
go back to reference Roehm, M. L., Pullins, E. B., & Roehm Jr, H. A. (2002). Designing Loyalty-Building Programs for Packaged Goods Brands. Journal of Marketing Research, 39(2), 202–213.CrossRef Roehm, M. L., Pullins, E. B., & Roehm Jr, H. A. (2002). Designing Loyalty-Building Programs for Packaged Goods Brands. Journal of Marketing Research, 39(2), 202–213.CrossRef
go back to reference Roodman, D. (2011). Fitting Fully Observed Recursive Mixed-process Models with cmp. Stata Journal, 11(2), 159–206.CrossRef Roodman, D. (2011). Fitting Fully Observed Recursive Mixed-process Models with cmp. Stata Journal, 11(2), 159–206.CrossRef
go back to reference Schwarz, N., & Clore, G. L. (1996). Feelings and Phenomenal Experiences, Social psychology: Handbook of basic principles (2nd edition), 385–407. Schwarz, N., & Clore,  G. L. (1996). Feelings and Phenomenal Experiences, Social psychology: Handbook of basic principles (2nd edition), 385–407.
go back to reference Shah, J. Y., Friedman, R., & Kruglanski, A. W. (2002). Forgetting All Else: On The Antecedents and Consequences of Goal Shielding. Journal of Personality and Social Psychology, 83(6), 1261–1280.CrossRef Shah, J. Y., Friedman, R., & Kruglanski, A. W. (2002). Forgetting All Else: On The Antecedents and Consequences of Goal Shielding. Journal of Personality and Social Psychology, 83(6), 1261–1280.CrossRef
go back to reference Sharp, B., & Sharp, A. (1997). Loyalty Programs and Their Impact on Repeat-purchase Loyalty Patterns. International Journal of Research in Marketing, 14(5), 473–486.CrossRef Sharp, B., & Sharp, A. (1997). Loyalty Programs and Their Impact on Repeat-purchase Loyalty Patterns. International Journal of Research in Marketing, 14(5), 473–486.CrossRef
go back to reference Stourm, V., Bradlow, E. T., & Fader, P. S. (2015). Stockpiling Points in Linear Loyalty Programs. Journal of Marketing Research, 52(2), 253–267.CrossRef Stourm, V., Bradlow, E. T., & Fader, P. S. (2015). Stockpiling Points in Linear Loyalty Programs. Journal of Marketing Research, 52(2), 253–267.CrossRef
go back to reference Taylor, G. A., & Neslin, S. A. (2005). The Current and Future Sales Impact of a Retail Frequency Reward Program. Journal of Retailing, 81(4), 293–305.CrossRef Taylor, G. A., & Neslin, S. A. (2005). The Current and Future Sales Impact of a Retail Frequency Reward Program. Journal of Retailing, 81(4), 293–305.CrossRef
go back to reference Unsworth, K., Yeo, G., & Beck, J. (2014). Multiple Goals: A Review and Derivation of General Principles. Journal of Organizational Behavior, 35(8), 1064–1078.CrossRef Unsworth, K., Yeo, G., & Beck, J. (2014). Multiple Goals: A Review and Derivation of General Principles. Journal of Organizational Behavior, 35(8), 1064–1078.CrossRef
go back to reference Wang, Y., Lewis, M., Cryder, C., & Sprigg, J. (2016). Enduring Effects of Goal Achievement and Failure Within Customer Loyalty Programs: A Large-Scale Field Experiment. Marketing Science, 35(4), 565–575.CrossRef Wang, Y., Lewis, M., Cryder, C., & Sprigg, J. (2016). Enduring Effects of Goal Achievement and Failure Within Customer Loyalty Programs: A Large-Scale Field Experiment. Marketing Science, 35(4), 565–575.CrossRef
go back to reference Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press.
go back to reference Yi, Youjae, & Jeon, Hoseong. (2003). Effects of loyalty programs on value perception, program loyalty, and brand loyalty. Journal of the Academy of Marketing Science, 31(3), 229–240.CrossRef Yi, Youjae, & Jeon, Hoseong. (2003). Effects of loyalty programs on value perception, program loyalty, and brand loyalty. Journal of the Academy of Marketing Science, 31(3), 229–240.CrossRef
go back to reference Zhang, Y., Bradlow, E. T., & Small, D. S. (2013). New Measures of Clumpiness For Incidence Data. Journal of Applied Statistics, 40(11), 2533–2548.CrossRef Zhang, Y., Bradlow, E. T., & Small, D. S. (2013). New Measures of Clumpiness For Incidence Data. Journal of Applied Statistics, 40(11), 2533–2548.CrossRef
go back to reference Zhang, Y., Bradlow, E. T., & Small, D. S. (2015). Predicting Customer Value Using Clumpiness: From RFM To RFMC. Marketing Science, 34(2), 195–208.CrossRef Zhang, Y., Bradlow, E. T., & Small, D. S. (2015). Predicting Customer Value Using Clumpiness: From RFM To RFMC. Marketing Science, 34(2), 195–208.CrossRef
go back to reference Zhang, Z. John., Krishna, Aradhna, & Dhar, Sanjay K. (2000). The Optimal Choice of Promotional Vehicles: Front-Loaded or Rear-Loaded Incentives? Management Science, 46(3), 348–362.CrossRef Zhang, Z. John., Krishna, Aradhna, & Dhar, Sanjay K. (2000). The Optimal Choice of Promotional Vehicles: Front-Loaded or Rear-Loaded Incentives? Management Science, 46(3), 348–362.CrossRef
Metadata
Title
Customer behavior across competitive loyalty programs
Authors
Farnoosh Khodakarami
J. Andrew Petersen
Rajkumar Venkatesan
Publication date
08-08-2023
Publisher
Springer US
Published in
Journal of the Academy of Marketing Science / Issue 3/2024
Print ISSN: 0092-0703
Electronic ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-023-00965-z

Other articles of this Issue 3/2024

Journal of the Academy of Marketing Science 3/2024 Go to the issue

Original Empirical Research

How do firms value sales career paths?