Causal effect of lottery promotions on post-win payments: Evidence from a large field experiment
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DOIhttp://dx.doi.org/10.21511/im.21(2).2025.18
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Article InfoVolume 21 2025, Issue #2, pp. 225-236
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Creative Commons Attribution 4.0 International License
This study aims to investigate how different incentive sizes in multi-shot lottery promotions, including large and small prizes, influence subsequent consumer payments. Multi-shot lottery promotions allow repeated opportunities to win incentives and are widely used across various industries. Understanding the relationship between the cost of implementing the promotions, such as incentives for winning, and subsequent consumer payments, which drive revenue, is essential for improving cost-effectiveness. This study analyzes large-scale field data from over one million mobile payment service users and employs a stratified randomized experiment method that addresses user-initiated transaction bias. The results show that, during the promotion, winning any prize increases the total transaction amount (by $26.97–$32.80), the number of transactions (by 1.17–1.27), and the average transaction amount (by $8.81–$9.38). Notably, a small prize with a 0.2% return rate yields a return on investment of 1078.8%, surpassing the 5.6% and 8.6% from larger prizes. However, after the promotion, these differences in incentive size have negligible effects on consumer payments. Further analysis, which also examined whether the effects of winning vary depending on users’ frequency of use, reveals that these effects are most pronounced among light users across all outcomes. The findings suggest that allocating multiple small prizes may be more cost-effective than focusing on a few large prizes, especially for lower-usage segments, and offer valuable insights for designing successful multi-shot lottery promotions.
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JEL Classification (Paper profile tab)M31, L81
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References41
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Tables4
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Figures1
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- Figure 1. Timeline of the data set
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- Table 1. Sample size and average incentive from winning for each prize
- Table 2. Effect of winning each prize on transactions during and after the promotion
- Table 3. Effect of winning each prize on transactions for heavy, middle, and light users during the promotion
- Table 4. Effect of winning each prize on transactions for heavy, middle, and light users after the promotion
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- Ailawadi, K. L., Gedenk, K., Langer, T., Ma, Y., & Neslin, S. A. (2014). Consumer response to uncertain promotions: An empirical analysis of conditional rebates. International Journal of Research in Marketing, 31(1), 94-106.
- Akdeniz, B., Calantone, R. J., & Voorhees, C. M. (2013). Effectiveness of marketing cues on consumer perceptions of quality: The moderating roles of brand reputation and third-party information: Effectiveness of marketing cues on perceptions of quality. Psychology & Marketing, 30(1), 76-89.
- Alavi, S., Bornemann, T., & Wieseke, J. (2015). Gambled Price Discounts: A Remedy to the Negative Side Effects of Regular Price Discounts. Journal of Marketing, 79(2), 62-78.
- Attari, A., Chatterjee, P., & Singh, S. N. (2022). Taking a chance for a discount: An investigation into consumers’ choice of probabilistic vs. sure price promotions. Journal of Business Research, 143, 366-374.
- Breugelmans, E., & Liu-Thompkins, Y. (2017). The effect of loyalty program expiration policy on consumer behavior. Marketing Letters, 28(4), 537-550.
- Byun, K.-A., Ma, M., Kim, K., & Kang, T. (2021). Buying a new product with inconsistent product reviews from multiple sources: The role of information diagnosticity and advertising. Journal of Interactive Marketing, 55(1), 81-103.
- De Vries, E. L. E., & Zhang, S. (2020). The effectiveness of random discounts for migrating customers to the mobile channel. Journal of Business Research, 110, 272-281.
- Dellaert, B. G. C., & Dabholkar, P. A. (2009). Increasing the Attractiveness of Mass Customization: The Role of Complementary On-line Services and Range of Options. International Journal of Electronic Commerce, 13(3), 43-70.
- Efron, B., & Tibshirani, R. J. (1994). An Introduction to the Bootstrap. CRC Press.
- Eskinazi, N., Malul, M., Rosenboim, M., & Shavit, T. (2024). The influence of anchoring on the uncertainty effect. Applied Economics Letters, 1-4.
- Feldman, J. M., & Lynch, J. G. (1988). Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. The Journal of Applied Psychology, 73(3), 421-435.
- Fey, C. F., Hu, T., & Delios, A. (2023). The Measurement and Communication of Effect Sizes in Management Research. Management and Organization Review, 19(1), 176-197.
- Gneezy, U., List, J. A., & Wu, G. (2006). The Uncertainty Effect: When a Risky Prospect is Valued Less than its Worst Possible Outcome. The Quarterly Journal of Economics, 121(4), 1283-1309.
- Goldsmith, K., & Amir, O. (2010). Can Uncertainty Improve Promotions? Journal of Marketing Research, 47(6), 1070-1077.
- Hardisty, D. J., & Pfeffer, J. (2017). Intertemporal uncertainty avoidance: When the future is uncertain, people prefer the present, and when the present is uncertain, people prefer the future. Management Science, 63(2), 519-527.
- Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. The Journal of Consumer Research, 17(4), 454.
- Ho, C.-Y., Kim, N., Rong, Y., & Tian, X. (2022). Promoting Mobile Payment with Price Incentives. Management Science, 68(10), 7065-7791.
- Imbens, G. W., & Rubin, D. B. (2015). Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge University Press.
- Kovacheva, A., & Nikolova, H. (2023). Uncertainty marketing tactics: An overview and a unifying framework. Journal of the Academy of Marketing Science, 52, 1-22.
- Lal, R., & Bell, D. E. (2003). The Impact of Frequent Shopper Programs in Grocery Retailing. Quantitative Marketing and Economics, 1(2), 179-202.
- Laporte, S., & Laurent, G. (2015). More prizes are not always more attractive: factors increasing prospective sweepstakes participants’ sensitivity to the number of prizes. Journal of the Academy of Marketing Science, 43(3), 395-410.
- Laran, J., & Tsiros, M. (2013). An Investigation of the Effectiveness of Uncertainty in Marketing Promotions Involving Free Gifts. Journal of Marketing, 77(2), 112-123.
- Lee, Y. H., & Qiu, C. (2009). When Uncertainty Brings Pleasure: The Role of Prospect Imageability and Mental Imagery. The Journal of Consumer Research, 36(4), 624-633.
- Liu, Y. (2007). The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty. Journal of Marketing, 71(4), 19-35.
- Lynch, J. G., Jr, Marmorstein, H., & Weigold, M. F. (1988). Choices from sets including remembered brands: Use of recalled attributes and prior overall evaluations. The Journal of Consumer Research, 15(2), 169.
- March, J. G. (1978). Bounded rationality, ambiguity, and the engineering of choice. The Bell Journal of Economics, 9(2), 587.
- Mazar, N., Shampanier, K., & Ariely, D. (2017). When Retailing and Las Vegas Meet: Probabilistic Free Price Promotions. Management Science, 63(1), 250-266.
- Newman, G. E., & Mochon, D. (2012). Why are lotteries valued less? Multiple tests of a direct risk-aversion mechanism. Judgment and Decision Making, 7(1), 19-24.
- Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66(5), 688-701.
- Rydval, O., Ortmann, A., Prokosheva, S., & Hertwig, R. (2009). How certain is the uncertainty effect? Experimental Economics, 12(4), 473-487.
- Shen, L., Fishbach, A., & Hsee, C. K. (2015). The motivating-uncertainty effect: Uncertainty increases resource investment in the process of reward pursuit. The Journal of Consumer Research, 41(5), 1301-1315.
- Shen, L., Hsee, C. K., & Talloen, J. H. (2019). The fun and function of uncertainty: Uncertain incentives reinforce repetition decisions. The Journal of Consumer Research, 46(1), 69-81.
- Simonsohn, U. (2009). Direct risk aversion: evidence from risky prospects valued below their worst outcome. Psychological Science, 20(6), 686-692.
- Soman, D. (2003). The Effect of Payment Transparency on Consumption: Quasi-Experiments from the Field. Marketing Letters, 14(3), 173-183.
- Stourm, V., Bradlow, E. T., & Fader, P. S. (2015). Stockpiling Points in Linear Loyalty Programs. Journal of Marketing Research, 52(2), 253-267.
- Suk, K., Yoon, S.-O., Lichtenstein, D. R., & Song, S. Y. (2010). The effect of reference point diagnosticity on attractiveness and intentions ratings. Journal of Marketing Research, 47(5), 983-995.
- Tan, H., Akram, U., & Sui, Y. (2019). An investigation of the promotion effects of uncertain level discount: evidence from China. Asia Pacific Journal of Marketing and Logistics, 31(4), 957-979.
- Tang, J., Zhou, J., Zheng, C., & Jiao, S. (2022). More expectations, more disappointments: Ego depletion in uncertain promotion. Journal of Retailing and Consumer Services, 66, 102916.
- Uncles, M. D., Dowling, G. R., & Hammond, K. (2003). Customer loyalty and customer loyalty programs. The Journal of Consumer Marketing, 20(4), 294-316.
- Zellermayer, O. (1996). The pain of paying. Carnegie Mellon University.
- Zhang, J. Q., Dixit, A., & Friedmann, R. (2010). Customer Loyalty and Lifetime Value: An Empirical Investigation of Consumer Packaged Goods. Journal of Marketing Theory and Practice, 18(2), 127-140.