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Scanning for discounts: examining the redemption of competing mobile coupons

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Abstract

Coupons research has typically focused on single-coupon redemption, with scant attention devoted to multiple, competing coupons. To bridge this gap, we observe supermarket shoppers who used their smartphones to scan products in-store, receiving both coupons for the scanned product and several others as a result. We model the determinants of redemption in this context, particularly net price range (NPR), coupon value, brand loyalty, and number of coupons. Latent class analysis uncovers two consumer segments: brand-focused shoppers (79.9%), who use internal reference prices, and deal-prone shoppers (20.1%), who use stimulus-based reference prices. Targeting by means of segment membership, NPR, and loyalty is indispensable: the same $0.50 coupon can have a redemption probability as low as 30% and as large as 80%, depending on these characteristics. Overall, the study sheds light on drivers of redemption under competition and provides managers with a blueprint to improve redemption rates by targeting shoppers with customized coupons.

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Notes

  1. The literature sometimes refers to SRP as the external reference price, because price depends on current rather than remembered prices. While the external reference price and SRP are sometimes used interchangeably, we adopt the SRP designation to refer specifically to reference prices based on a consumer’s comparison of a range of current prices, as consistent with the literature on range theory.

  2. We thank an anonymous reviewer for suggesting these two potential confounds.

  3. This figure represents the average face value of grocery coupons redeemed per item. We use this measure because some coupons are redeemed for multiple units, and thus the average face value for all grocery coupons was $1.42.

  4. A possible concern with an isolated store is that shelf prices might be higher than prices in a more competitive location. We tested this possibility by conducting a price comparison. We shopped a basket of products used in this study (by randomly selecting four name-brand products from each of the four major product categories) and compared it to the same basket shopped at a larger store in a nearby city that has three competing grocery retailers. We found no significant difference in the total price of these two shopping baskets (t = 0.37, p > 0.10).

References

  • Andrews, M., Luo, X., Fang, Z., & Ghose, A. (2015). Mobile ad effectiveness: hyper-contextual targeting with crowdedness. Marketing Science, 35(2), 218–233.

    Article  Google Scholar 

  • Bakos, J. Y. (1997). Reducing buyer search costs: implications for electronic marketplaces. Management Science, 43(12), 1676–1692.

    Article  Google Scholar 

  • Banerjee, S., & Yancey, S. (2010). Enhancing mobile coupon redemption in fast food campaigns. Journal of Research in Interactive Marketing, 4(2), 97–110.

    Article  Google Scholar 

  • Banerjee, S., Poddar, A., Yancey, S., & McDowell, D. (2011). Measuring intangible effects of m-coupon campaigns on non-redeemers. Journal of Research in Interactive Marketing, 5(4), 258–275.

  • Bawa, K., Srinivasan, S. S., & Srivastava, R. K. (1997). Coupon attractiveness and coupon proneness: a framework for modeling coupon redemption. Journal of Marketing Research, 34(4), 517–525.

    Article  Google Scholar 

  • Besanko, D., Dubé, J.-P., & Gupta, S. (2003). Competitive price discrimination strategies in a Vertical Channel using aggregate retail data. Management Science, 49(9), 1121–1138.

    Article  Google Scholar 

  • Blattberg, R. C., & Neslin, S. A. (1990). Sales promotion: Concepts, methods, and strategies. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Broniarczyk, S. M., Hoyer, W. D., & McAlister, L. (1998). Consumers’ perceptions of the assortment offered in a grocery category: the impact of item reduction. Journal of Marketing Research, 35(2), 166–176.

    Article  Google Scholar 

  • Brown, V. (2015). U.S. Grocery Shopper Trends 2015. The Food Marketing Institute, Arlington VA.

  • Brynjolfsson, E., Hu, Y., & Simester, D. (2011). Goodbye pareto principle, hello long tail: The effect of search costs on the concentration of product sales. Management Science, 57(8), 1373–1386.

    Article  Google Scholar 

  • Carter, B. (2016). Coupon Statistics: The Ultimate Collection. Retrieved November 1, 2016, from http://blog.accessdevelopment.com/ultimate-collection-coupon-statistics.

  • Chiang, J. (1995). Competing coupon promotions and category sales. Marketing Science, 14(1), 105–122. https://doi.org/10.1287/mksc.14.1.105.

    Article  Google Scholar 

  • Clifford, S. (2013). Shopper Alert: Price May Drop for You Alone. Retrieved from http://www.nytimes.com/2012/08/10/business/supermarkets-try-customizing-prices-for-shoppers.html

  • Conover, J. N. (1989). The influence of cents-off coupons on brand choice decisions at the point of purchase. T. J. Skrull (Ed.), ACR North American Advances (Vol. 16). Provo, UT.

  • Cunningham, R. M. (1956). Brand loyalty-what, where, how much. Harvard Business Review, 34(1), 116–128.

    Google Scholar 

  • 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), 726–735.

    Article  Google Scholar 

  • Dekimpe, M. G., Steenkamp, J.-B. E. M., Mellens, M., & Vanden Abeele, P. (1997). Decline and variability in brand loyalty. International Journal of Research in Marketing, 14(5), 405–420.

    Article  Google Scholar 

  • Dick, A. S., & Basu, K. (1994). Customer loyalty: toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99–113.

    Article  Google Scholar 

  • Dickinger, A., & Kleijnen, M. (2008). Coupons going wireless: determinants of consumer intentions to redeem mobile coupons. Journal of Interactive Marketing, 22(3), 23–39.

  • Diehl, K., & Poynor, C. (2010). Great expectations?! Assortment size, expectations, and satisfaction. Journal of Marketing Research, 47(2), 312–322.

    Article  Google Scholar 

  • Dubé, J.-P. H., Fang, Z., Fong, N., & Luo, X. (2017). Competitive price targeting with smartphone coupons. Marketing Science, 36(6), 944–975.

    Article  Google Scholar 

  • emarketer.com. (2016). US Millennials Emerging as Heavy Coupon Users. Retrieved June 15, 2017, from https://www.emarketer.com/Article/US-Millennials-Emerging-Heavy-Coupon-Users/1013806.

  • Faulds, D. J., Mangold, W. G., Raju, P. S., & Valsalan, S. (2018). The mobile shopping revolution: redefining the consumer decision process. Business Horizons. https://doi.org/10.1016/j.bushor.2017.11.012.

  • Finch, W. H., & French, B. F. (2015). Latent variable modeling with R. New York: Routledge.

    Google Scholar 

  • Fong, N. M., Fang, Z., & Luo, X. (2015). Geo-Conquesting: competitive locational targeting of mobile promotions. Journal of Marketing Research, 52(5), 726–735.

    Article  Google Scholar 

  • Fortin, D. R. (2000). Clipping coupons in cyberspace: a proposed model of behavior for deal-prone consumers. Psychology and Marketing, 17(6), 515–534.

    Article  Google Scholar 

  • GfK. (2015). Consumers’ activities with mobile phones in stores. Retrieved from http://www.gfk.com/global-studies/global-study-mobile-phones-in-stores/.

  • Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016). Mobile advertising: a framework and research agenda. Journal of Interactive Marketing, 34, 3–14.

    Article  Google Scholar 

  • Heilman, C. M., Nakamoto, K., & Rao, A. G. (2002). Pleasant surprises: consumer response to unexpected in-store coupons. Journal of Marketing Research, 39(2), 242–252.

    Article  Google Scholar 

  • Helson, H. (1964). Adaptation-level theory. New York: Harper & Row.

    Google Scholar 

  • Im, H., & Ha, Y. (2012). Who are the users of mobile coupons? A profile of US consumers. Journal of Research in Interactive Marketing, 6(3), 215–232.

    Article  Google Scholar 

  • Inman, J. J., & McAlister, L. (1993). A retailer promotion policy model considering promotion signal sensitivity. Marketing Science, 12(4), 339–356.

    Article  Google Scholar 

  • Inmar.com. (2017). Coupon Trends 2016 Year-End Report. Retrieved from http://www.slideshare.net/InmarInc/2016-inmar-coupontrends-presentation-2014-yearendreport.

  • Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995–1006.

    Article  Google Scholar 

  • Jacoby, J., & Kyner, D. B. (1973). Brand loyalty vs. repeat purchasing behavior. Journal of Marketing Research, 10(1), 1–9.

    Article  Google Scholar 

  • Janiszewski, C., & Lichtenstein, D. R. (1999). A range theory account of price perception. Journal of Consumer Research, 25(4), 353–368.

    Article  Google Scholar 

  • Jia, H., Yang, S. Lu, X., & Park, C. W. (2018). Do consumers always spend more when coupon face value is larger? The inverted U-shaped effect of coupon face value on consumer spending level. Journal of Marketing, 82(4), 70–85.

  • Kalyanaram, G., & Winer, R. S. (1995). Empirical generalizations from reference price research. Marketing Science, 14(3 Supplement), G161–G169.

    Article  Google Scholar 

  • Kinberg, Y., Rao, A. G., & Shakun, M. F. (1974). A mathematical model for price promotions. Management Science, 20(6), 948–959.

    Article  Google Scholar 

  • Krishna, A., & Zhang, Z. J. (1999). Short-or long-duration coupons: the effect of the expiration date on the profitability of coupon promotions. Management Science, 45(8), 1041–1056.

    Article  Google Scholar 

  • Krishnamurthi, L., Mazumdar, T., & Raj, S. P. (1992). Asymmetric response to price in consumer brand choice and purchase quantity decisions. Journal of Consumer Research, 19(3), 387–400.

    Article  Google Scholar 

  • Krishnamurthi, L., & Raj, S. P. (1991). An empirical analysis of the relationship between brand loyalty and consumer price elasticity. Marketing Science, 10(2), 172–183.

    Article  Google Scholar 

  • Kumar, V., Hurley, M., Karande, K., & Reinartz, W. J. (1998). The impact of internal and external reference prices on brand choice: the moderating role of contextual variables. Journal of Retailing, 74(3), 401–426.

    Article  Google Scholar 

  • Leisch, F. (2004). Flexmix: a general framework for finite mixture models and latent class regression in R. Journal of Statistical Software, 11(8), 1–18.

    Article  Google Scholar 

  • Leone, R. P., & Srinivasan, S. S. (1996). Coupon face value: its impact on coupon redemptions, brand sales, and brand profitability. Journal of Retailing, 72(3), 273–289.

    Article  Google Scholar 

  • Li, K. J. (2018). Behavior-based pricing in marketing channels. Marketing Science, 37(2), 310–326.

  • Lichtenstein, D., Netemeyer, R., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: an acquisition-transaction utility theory perspective. Journal of Marketing, 54(3), 54–67.

    Article  Google Scholar 

  • Lin-Fisher, B. (2013). Akron developer hopes shoppers will scan for savings. Retrieved from https://www.ohio.com.

  • Luo, X., Andrews, M., Fang, Z., & Phang, C. W. (2013). Mobile targeting. Management Science, 60(7), 1738–1756.

  • Martin, C. (2015). Mobile Moves in on Grocery Shopping. Retrieved from https://www.mediapost.com/publications/article/242215/mobile-moves-in-on-grocery-shopping.html.

  • Mazumdar, T., & Papatla, P. (1995). Loyalty differences in the use of internal and external reference prices. Marketing Letters, 6(2), 111–122.

    Article  Google Scholar 

  • Mazumdar, T., & Papatla, P. (2000). An investigation of reference price segments. Journal of Marketing Research, 37(2), 246–258.

    Article  Google Scholar 

  • Mazumdar, T., Raj, S. P., & Sinha, I. (2005). Reference price research: review and propositions. Journal of Marketing, 69(4), 84–102.

    Article  Google Scholar 

  • Mellens, M., Dekimpe, M., & Steenkamp, J. (1995). A review of brand-loyalty measures in marketing. Review of Business and Economics, 90(4), 507–533.

    Google Scholar 

  • Mittal, B. (1994). An integrated framework for relating diverse consumer characteristics to supermarket coupon redemption. Journal of Marketing Research, 31(4), 533–544.

  • Molitor, D., Reichart, P., & Spann, M. (2016). Location-based advertising: What is the value of physical distance on the mobile internet. WCA initiative.

  • Monroe, K., & Lee, A. (1999). Remembering versus knowing: issues in buyers’ processing of price information. Journal of the Academy of Marketing Science, 27(2), 207–225.

    Article  Google Scholar 

  • Moon, S., Russell, G. J., & Duvvuri, S. D. (2006). Profiling the reference price consumer. Journal of Retailing, 82(1), 1–11.

    Article  Google Scholar 

  • Moon, S., & Voss, G. (2009). How do price range shoppers differ from reference price point shoppers? Journal of Business Research, 62(1), 31–38.

    Article  Google Scholar 

  • Nelson, E., & Ellison, S. (2005). In a shift, marketers beef up ad spending inside stores. Wall Street Journal, 5(A1), 1–5.

    Google Scholar 

  • Niedrich, R. W., Sharma, S., & Wedell, D. H. (2001). Reference price and price perceptions: a comparison of alternative models. Journal of Consumer Research, 28(3), 339–354.

    Article  Google Scholar 

  • Papatla, P., & Krishnamurthi, L. (1996). Measuring the dynamic effects of promotions on brand choice. Journal of Marketing Research, 33(1), 20–35.

    Article  Google Scholar 

  • Pontes, N. G. (2018). The effect of product line endpoint prices on vertical extensions. European Journal of Marketing, 52(3/4), 575–595.

    Article  Google Scholar 

  • Rajendran, K. N., & Tellis, G. J. (1994). Contextual and temporal components of reference price. Journal of Marketing, 58(1), 22–34.

    Article  Google Scholar 

  • Raju, J. S., Srinivasan, V., & Lal, R. (1990). The effects of brand loyalty on competitive price promotional strategies. Management Science, 36(3), 276–304.

    Article  Google Scholar 

  • Reichhart, P., Pescher, C., & Spann, M. (2013). A comparison of the effectiveness of e-mail coupons and mobile text message coupons for digital products. Electronic Markets, 23(3), 217–225.

  • Reutskaja, E., & Hogarth, R. M. (2009). Satisfaction in choice as a function of the number of alternatives: when “goods satiate”. Psychology and Marketing, 26(3), 197–203.

    Article  Google Scholar 

  • Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010). Can there ever be too many options? A meta-analytic review of choice overload. Journal of Consumer Research, 37(3), 409–425.

    Article  Google Scholar 

  • Schwartz, B. (2004). The paradox of choice: Why more is less. New York: Ecco New York.

    Google Scholar 

  • Shaffer, G., & Zhang, Z. J. (1995). Competitive coupon targeting. Marketing Science, 14(4), 395–416.

    Article  Google Scholar 

  • Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S., & Morrissey, S. (2016). Mobile shopper marketing: key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37–48.

    Article  Google Scholar 

  • Shoemaker, R. W., & Tibrewala, V. (1985). Relating coupon redemption rates to past purchasing of the brand. Journal of Advertising Research, 25(5), 40–47.

  • Smith, L. (2016). High-tech savings. Retrieved from http://www.uniondemocrat.com.

  • Tellis, G. J., & Gaeth, G. J. (1990). Best value, price-seeking, and price aversion: the impact of information and learning on consumer choices. The Journal of Marketing, 54(2), 34–45.

    Article  Google Scholar 

  • Turow, J. (2017). The aisles have eyes: How retailers track your shopping, strip your privacy, and define your power. New Haven: Yale University Press.

    Google Scholar 

  • Von Freymann, J. (2002). Grocery store pricing and its effect on initial and ongoing store choice. Marketing Management Journal, 12(1), 107–119.

    Google Scholar 

  • Walters, R. G. (1991). Assessing the impact of retail price promotions on product substitution, complementary purchase, and interstore sales displacement. The Journal of Marketing, 55(2), 17–28.

    Article  Google Scholar 

  • Walters, R. G., & MacKenzie, S. B. (1988). A structural equations analysis of the impact of price promotions on store performance. Journal of Marketing Research, 25(1), 51–63.

    Article  Google Scholar 

  • White, C. M., & Hoffrage, U. (2009). Testing the tyranny of too much choice against the allure of more choice. Psychology and Marketing, 26(3), 280–298.

    Article  Google Scholar 

  • Wooldridge, J. (2010). Econometric analysis of cross section and panel data. Cambridge: MIT Press.

    Google Scholar 

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Acknowledgements

The authors wish to thank the Marketing Science Institute for their financial support during the early stages of this project, and Jim Wilson, founder of Insight Market Data, for developing the mobile coupon app used in this study.

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Correspondence to Paul Mills.

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Rajkumar Venkatesan served as Area Editor for this article.

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Mills, P., Zamudio, C. Scanning for discounts: examining the redemption of competing mobile coupons. J. of the Acad. Mark. Sci. 46, 964–982 (2018). https://doi.org/10.1007/s11747-018-0592-7

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