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Published in: Electronic Commerce Research 3/2023

09-11-2021

A product strategy for daily deal campaigns utilizing demand expansion and consumer leakage

Author: Yao Tang

Published in: Electronic Commerce Research | Issue 3/2023

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Abstract

Daily deal campaigns help local service merchants expand their market demand, which also result in consumer leakage concerns. This paper investigates how to exercise product strategies, i.e., price and quality decisions, for daily deal campaigns through a systematic exploration of demand expansion and consumer leakage. We consider a local service merchant who currently sells a product in his or her local market and who might contract with a platform to introduce daily deal campaigns. We document how the demand expansion and consumer leakage effects jointly affect a merchant’s product strategy. Particularly, we find it not always profitable to introduce daily deal campaigns amid relatively low levels of the demand expansion effect. Moreover, a merchant should adopt the product strategy of overlooking (inhibiting) consumer leakage amid relatively low (high) levels of the consumer leakage effect. In addition, we discuss the strategic role of a platform’s agency fees on leveraging a merchant’s product strategy. Based on this, we take a platform’s perspective to examine how to establish optimal agency fees amid various market conditions. Our results provide useful insights for firms in the daily deal business on how to carry out more intelligent marketing strategies. Our conclusions also cater to other businesses, wherein offline merchants could adopt online platforms to expand their demand while addressing the issue of consumer leakage.

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Appendix
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Literature
1.
go back to reference Anderson, E. T., & Song, I. (2004). Coordinating price reductions and coupon events. Journal of Marketing Research., 41(4), 411–422.CrossRef Anderson, E. T., & Song, I. (2004). Coordinating price reductions and coupon events. Journal of Marketing Research., 41(4), 411–422.CrossRef
2.
go back to reference Bhardwaj, P., & Sajeesh, S. (2017). Strategic revenue sharing with daily deal sites: A competitive analysis. Decision Sciences., 48(6), 1228–1261.CrossRef Bhardwaj, P., & Sajeesh, S. (2017). Strategic revenue sharing with daily deal sites: A competitive analysis. Decision Sciences., 48(6), 1228–1261.CrossRef
3.
go back to reference Byers, J. W., Mitzenmacher, M., & Zervas, G. (2011). Daily deals: Prediction, social diffusion, and reputational ramifications. In Proceeding Fifth ACM WSDM Conference Web Search Data Mining (ACM, New York), 543–552. Byers, J. W., Mitzenmacher, M., & Zervas, G. (2011). Daily deals: Prediction, social diffusion, and reputational ramifications. In Proceeding Fifth ACM WSDM Conference Web Search Data Mining (ACM, New York), 543–552.
4.
go back to reference Cao, Z., Hui, K. L., & Xu, H. (2018). When discounts hurt sales: The case of daily-deal markets. Information Systems Research., 29(3), 567–591.CrossRef Cao, Z., Hui, K. L., & Xu, H. (2018). When discounts hurt sales: The case of daily-deal markets. Information Systems Research., 29(3), 567–591.CrossRef
5.
go back to reference Che, T., Peng, Z., & Hua, Z. (2016). Characteristics of online group-buying website and consumers intention to revisit: The moderating effects of visit channels. Electronic Commerce Research., 16(2), 171–188.CrossRef Che, T., Peng, Z., & Hua, Z. (2016). Characteristics of online group-buying website and consumers intention to revisit: The moderating effects of visit channels. Electronic Commerce Research., 16(2), 171–188.CrossRef
6.
go back to reference Dholakia U. M. (2011). How businesses fare with daily deals: A multisite analysis of Groupon, Living Social, Open Table, Travel zoo, and Buy with me promotions. Working Paper. Dholakia U. M. (2011). How businesses fare with daily deals: A multisite analysis of Groupon, Living Social, Open Table, Travel zoo, and Buy with me promotions. Working Paper.
7.
go back to reference Edelman, B., Jaffe, S., & Kominers, S. D. (2016). To Groupon or not to Groupon: The profitability of deep discounts. Marketing Letter., 27(1), 39–53.CrossRef Edelman, B., Jaffe, S., & Kominers, S. D. (2016). To Groupon or not to Groupon: The profitability of deep discounts. Marketing Letter., 27(1), 39–53.CrossRef
8.
go back to reference Guo, L., & Zhang, J. (2012). Consumer deliberation and product line design. Marketing Science., 31(6), 995–1007.CrossRef Guo, L., & Zhang, J. (2012). Consumer deliberation and product line design. Marketing Science., 31(6), 995–1007.CrossRef
9.
go back to reference Gupta, S., Weaver, R., Keiningham, T., & Williams, L. (2012). Are daily deals good for merchants? Harvard Business School Case 9–513–059. Gupta, S., Weaver, R., Keiningham, T., & Williams, L. (2012). Are daily deals good for merchants? Harvard Business School Case 9–513–059.
10.
go back to reference Hu, M., Li, X., & Shi, M. (2015). Product and pricing decisions in crowdfunding. Marketing Science., 34(3), 331–345.CrossRef Hu, M., Li, X., & Shi, M. (2015). Product and pricing decisions in crowdfunding. Marketing Science., 34(3), 331–345.CrossRef
11.
go back to reference Hu, M., Dang, C., & Chintagunta, P. K. (2019). Search and learning at a daily deals website. Marketing Science., 38(4), 609–642.CrossRef Hu, M., Dang, C., & Chintagunta, P. K. (2019). Search and learning at a daily deals website. Marketing Science., 38(4), 609–642.CrossRef
12.
go back to reference Hu, M., & Winer, R. S. (2017). The “tipping point” feature of social coupons: An empirical investigation. International Journal of Research in Marketing., 34(1), 120–136.CrossRef Hu, M., & Winer, R. S. (2017). The “tipping point” feature of social coupons: An empirical investigation. International Journal of Research in Marketing., 34(1), 120–136.CrossRef
13.
go back to reference Ke, C., Yan, B., & Xu, R. (2017). A group-buying mechanism for considering strategic consumer behavior. Electronic Commerce Research., 17(4), 721–752.CrossRef Ke, C., Yan, B., & Xu, R. (2017). A group-buying mechanism for considering strategic consumer behavior. Electronic Commerce Research., 17(4), 721–752.CrossRef
14.
go back to reference Kukar-Kinney, M., Scheinbaum, A. C., & Schaefers, T. (2016). Compulsive buying in online daily deal settings: An investigation of motivations and contextual elements. Journal of Business Research., 69(2), 691–699.CrossRef Kukar-Kinney, M., Scheinbaum, A. C., & Schaefers, T. (2016). Compulsive buying in online daily deal settings: An investigation of motivations and contextual elements. Journal of Business Research., 69(2), 691–699.CrossRef
15.
go back to reference Kukar-Kinney, M., & Xia, L. (2017). The effectiveness of number of deals purchased in influencing consumers’ response to daily deal promotions: A cue utilization approach. Journal of Business Research., 79, 189–197.CrossRef Kukar-Kinney, M., & Xia, L. (2017). The effectiveness of number of deals purchased in influencing consumers’ response to daily deal promotions: A cue utilization approach. Journal of Business Research., 79, 189–197.CrossRef
16.
go back to reference Kumar, V., & Rajan, B. (2012). Social coupons as a marketing strategy: A multifaceted perspective. Journal of Academy Marketing Science., 40(1), 120–136.CrossRef Kumar, V., & Rajan, B. (2012). Social coupons as a marketing strategy: A multifaceted perspective. Journal of Academy Marketing Science., 40(1), 120–136.CrossRef
17.
go back to reference Li, X., & Wu, L. (2018). Herding and social media word-of-mouth: Evidence from Groupon. MIS Quarterly., 42(4), 1331–1351. Li, X., & Wu, L. (2018). Herding and social media word-of-mouth: Evidence from Groupon. MIS Quarterly., 42(4), 1331–1351.
18.
go back to reference Marinesi, S., Girotra, K., & Netessine, S. (2018). The operational advantages of threshold discounting offers. Management Science., 64(6), 2690–2708.CrossRef Marinesi, S., Girotra, K., & Netessine, S. (2018). The operational advantages of threshold discounting offers. Management Science., 64(6), 2690–2708.CrossRef
19.
go back to reference Moorthy, K. S. (1984). Market segmentation, self-selection, and product line design. Marketing Science., 3(4), 288–307.CrossRef Moorthy, K. S. (1984). Market segmentation, self-selection, and product line design. Marketing Science., 3(4), 288–307.CrossRef
20.
go back to reference Mussa, M., & Rosen, S. (1978). Monopoly and product quality. Journal of Economic Theory., 18(2), 301–317.CrossRef Mussa, M., & Rosen, S. (1978). Monopoly and product quality. Journal of Economic Theory., 18(2), 301–317.CrossRef
21.
go back to reference Narasimhan, C. (1984). A price discrimination theory of coupons. Marketing Science., 3(2), 128–147.CrossRef Narasimhan, C. (1984). A price discrimination theory of coupons. Marketing Science., 3(2), 128–147.CrossRef
22.
go back to reference Netessine, S., & Taylor, T. A. (2007). Product line design and production technology. Marketing Science., 26(1), 101–117.CrossRef Netessine, S., & Taylor, T. A. (2007). Product line design and production technology. Marketing Science., 26(1), 101–117.CrossRef
23.
go back to reference Reimers, I., & Xie, C. (2018). Do coupons expand or cannibalize revenue? Evidence from an e-Market. Management Science., 65(1), 286–300. Reimers, I., & Xie, C. (2018). Do coupons expand or cannibalize revenue? Evidence from an e-Market. Management Science., 65(1), 286–300.
24.
go back to reference Shao, J., Krishnan, H., & McCormick, S. T. (2013). Distributing a product line in a decentralized supply chain. Production and Operations Management., 22(1), 151–163.CrossRef Shao, J., Krishnan, H., & McCormick, S. T. (2013). Distributing a product line in a decentralized supply chain. Production and Operations Management., 22(1), 151–163.CrossRef
25.
go back to reference Song, M., Park, E., Yoo, Y., & Jeon, S. (2016). Is the daily deal social shopping? An empirical analysis of customer panel data. Journal of Interactive Marketing 33: 57-76 Song, M., Park, E., Yoo, Y., & Jeon, S. (2016). Is the daily deal social shopping? An empirical analysis of customer panel data. Journal of Interactive Marketing 33: 57-76
26.
go back to reference Subramanian, U., & Rao, R. C. (2016). Leveraging experienced consumers to attract new consumers: An equilibrium analysis of displaying deal sales by daily deal websites. Management Science, 62(12), 3555–3575.CrossRef Subramanian, U., & Rao, R. C. (2016). Leveraging experienced consumers to attract new consumers: An equilibrium analysis of displaying deal sales by daily deal websites. Management Science, 62(12), 3555–3575.CrossRef
27.
go back to reference Tang, Y., Chen, R., & Guan, X. (2021). Daily-deal market with consumer retention: Price discrimination or quality differentiation. Omega, 102, 1–13.CrossRef Tang, Y., Chen, R., & Guan, X. (2021). Daily-deal market with consumer retention: Price discrimination or quality differentiation. Omega, 102, 1–13.CrossRef
28.
go back to reference Villas-Boas, J. M. (1998). Product line design for a distribution channel. Marketing Science., 17(2), 156–169.CrossRef Villas-Boas, J. M. (1998). Product line design for a distribution channel. Marketing Science., 17(2), 156–169.CrossRef
29.
go back to reference Villas-Boas, J. M. (2004). Communication strategies and product line design. Marketing Science, 23(3), 304–316.CrossRef Villas-Boas, J. M. (2004). Communication strategies and product line design. Marketing Science, 23(3), 304–316.CrossRef
30.
go back to reference Wu, Y., & Zhu, L. (2017). Joint quality and pricing decisions for service online group-buying strategy. Electronic Commerce Research and Applications, 25, 1–15.CrossRef Wu, Y., & Zhu, L. (2017). Joint quality and pricing decisions for service online group-buying strategy. Electronic Commerce Research and Applications, 25, 1–15.CrossRef
31.
go back to reference Zhang, L., & Chung, D. J. (2020). Price bargaining and competition in online platforms: An empirical analysis of the daily deal market. Marketing Science, 39(4), 687–706.CrossRef Zhang, L., & Chung, D. J. (2020). Price bargaining and competition in online platforms: An empirical analysis of the daily deal market. Marketing Science, 39(4), 687–706.CrossRef
32.
go back to reference Zhang, J., Savage, S. J., & Chen, Y. (2015). Consumer uncertainty and price discrimination through online coupons: An empirical study of restaurants in Shanghai. Information Economics and Policy, 33, 43–55.CrossRef Zhang, J., Savage, S. J., & Chen, Y. (2015). Consumer uncertainty and price discrimination through online coupons: An empirical study of restaurants in Shanghai. Information Economics and Policy, 33, 43–55.CrossRef
33.
go back to reference Zhao, M., Wang, Y., & X, Gan. (2016). Signaling effect of daily deal promotion for a start-up service provider. Journal of the Operational Research Society, 67(2), 280–293.CrossRef Zhao, M., Wang, Y., & X, Gan. (2016). Signaling effect of daily deal promotion for a start-up service provider. Journal of the Operational Research Society, 67(2), 280–293.CrossRef
Metadata
Title
A product strategy for daily deal campaigns utilizing demand expansion and consumer leakage
Author
Yao Tang
Publication date
09-11-2021
Publisher
Springer US
Published in
Electronic Commerce Research / Issue 3/2023
Print ISSN: 1389-5753
Electronic ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-021-09519-3

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