On the Profitability of Stacked Discounts: Identifying Revenue and Cost Effects of Discount Framing

Published Online:https://doi.org/10.1287/mksc.2018.1137

References

  • ABC News (2014) Holiday shopping secrets for the best deals revealed. Good Morning America (December 15), https://abcnews.go.com/GMA/video/holiday-shopping-secrets-best-deals-revealed-27605945.Google Scholar
  • Ailawadi KL, Gedenk K, Langer T, Ma Y, Neslin SA (2014) Consumer response to uncertain promotions: An empirical analysis of conditional rebates. Internat. J. Res. Marketing 31(1):94–106.CrossrefGoogle Scholar
  • Akcay Y, Boyaci T, Zhang D (2013) Selling with money-back guarantees: The impact on prices, quantities, and retail profitability. Production Oper. Management 22(4):777–791.CrossrefGoogle Scholar
  • Alptekinoglu A, Grasas A (2014) When to carry eccentric products? Optimal retail assortment under consumer returns. Production Oper. Management 23(5):877–892.CrossrefGoogle Scholar
  • Altug MS, Aydinliyim T (2016) Counteracting strategic purchase deferrals: The impact of online retailers’ return policy decisions. Manufacturing Service Oper. Management 18(3):376–392.LinkGoogle Scholar
  • Anderson ET, Hansen K, Simester D (2009) The option value of returns: Theory and empirical evidence. Marketing Sci. 28(3):405–423.LinkGoogle Scholar
  • Bechwati NN, Siegal WS (2005) The impact of the prechoice process on product returns. J. Marketing Res. 42(3):358–367.CrossrefGoogle Scholar
  • Bower AB, Maxham JG (2012) Return shipping policies of online retailers: Normative assumptions and the long-term consequences of fee and free returns. J. Marketing 76(5):110–124.CrossrefGoogle Scholar
  • BusinessWire (2013) Save more on purchases this November with GO Outdoors. Business Wire. Accessed September 16, 2018 https://www.businesswire.com/news/home/20131030006210/en/Save-Purchases-November-Outdoors.Google Scholar
  • Busso M, DiNardo J, McCrary J (2014) New evidence on the finite sample properties of propensity score reweighting and matching estimators. Rev. Econom. Statist. 96(5):885–897.CrossrefGoogle Scholar
  • Chen H, Rao AR (2007) When two plus two is not equal to four: Errors in processing multiple percentage changes. J. Consumer Res. 34(3):327–340.CrossrefGoogle Scholar
  • Chen H, Marmorstein H, Tsiros M, Rao AR (2012) When more is less: The impact of base value neglect on consumer preferences for bonus packs over price discounts. J. Marketing 76(4):64–77.CrossrefGoogle Scholar
  • Chintagunta P, Erdem T, Rossi PE, Wedel M (2006) Structural modeling in marketing: Review and assessment. Marketing Sci. 25(6):604–616.LinkGoogle Scholar
  • Davis S, Gerstner E, Hagerty M (1995) Money back guarantees in retailing: Matching products to consumer tastes. J. Retailing 71(1):7–22.CrossrefGoogle Scholar
  • Davis S, Hagerty M, Gerstner E (1998) Return policies and the optimal level of “hassle.” J. Econom. Bus. 50(5):445–460.CrossrefGoogle Scholar
  • Dehejia RH, Wahba S (2002) Propensity score-matching methods for nonexperimental causal studies. Rev. Econom. Statist. 84(1):151–161.CrossrefGoogle Scholar
  • Douthit D, Flach M, Agarwal V (2011) A “returning problem”: Reducing the quantity and cost of product returns in consumer electronics. Accessed July 1, 2016, http://www.accenture.com/sitecollectiondocuments/pdf/accenture-reducing-the-quantity-and-cost-of-customerreturns.pdf.Google Scholar
  • Edelson S (2009) Markdowns strike early, cut deep. Women Wear Daily 198(8):10.Google Scholar
  • Erdem T (1996) A dynamic analysis of market structure based on panel data. Marketing Sci. 15(4):359–378.LinkGoogle Scholar
  • Erdem T, Keane MP (1996) Decision-making under uncertainty: Capturing dynamic brand choice processes in turbulent consumer goods markets. Marketing Sci. 15(1):1–20.LinkGoogle Scholar
  • Ertekin N (2018) Immediate and long-term benefits of in-store return experience. Production Oper. Management 27(1):121–142.CrossrefGoogle Scholar
  • Ertekin N, Ketzenberg M, Heim G (2019) Assessing impacts of store and salesperson dimensions of retail service quality on consumer returns. Production Oper. Management. Forthcoming.Google Scholar
  • Feng S, Cai JZ (2015) The impact of stackable discounts on retail price image. Internat. J. Bus. Admin. 6(6):26–35.Google Scholar
  • Ferguson M, Guide VDR, Souza GC (2006) Supply chain coordination for false failure returns. Manufacturing Service Oper. Management 8(4):376–393.LinkGoogle Scholar
  • Guide VDR, Souza GC, Wassenhove LNV, Blackburn JD (2006) Time value of commercial product returns. Management Sci. 52(8):1200–1214.LinkGoogle Scholar
  • Hess JD, Mayhew GE (1997) Modeling merchandise returns on direct marketing. J. Direct Marketing 11(2):20–35.CrossrefGoogle Scholar
  • Hess JD, Chu W, Gerstner E (1996) Controlling product returns in direct marketing. Marketing Lett. 7(4):307–317.CrossrefGoogle Scholar
  • Holland PW (1986) Statistics and causal inference. J. Amer. Statist. Assoc. 81(396):945–960.CrossrefGoogle Scholar
  • Janakiraman N, Ordonez L (2012) Effect of effort and deadlines on consumer product returns. J. Consumer Psych. 22(2):260–271.CrossrefGoogle Scholar
  • Jedidi K, Mela CF, Gupta S (1999) Managing advertising and promotion for long-run profitability. Marketing Sci. 18(1):1–22.LinkGoogle Scholar
  • Kruger J, Vargas P (2008) Consumer confusion of percent differences. J. Consumer Psych. 18(1):46–61.CrossrefGoogle Scholar
  • MarketingCharts (2014) Consumers: Emails with discounts heavily influence purchase decisions. Accessed September 16, 2018, https://www.marketingcharts.com/digital-45559.Google Scholar
  • McWilliams B (2012) Money-back guarantees: Helping the low-quality retailer. Management Sci. 58(8):1521–1524.LinkGoogle Scholar
  • Mohan B, Chandon P, Riis J (2015) Percentage cost discounts always beat percentage benefit bonuses: Helping consumers evaluate nominally equivalent percentage changes. J. Marketing Behav. 1(1):75–107.CrossrefGoogle Scholar
  • Montaguti E, Neslin SA, Valentini S (2016) Can marketing campaigns induce multichannel buying and more profitable customers? A field experiment. Marketing Sci. 35(2):201–217.LinkGoogle Scholar
  • National Retail Federation (2015) Consumer returns in the retail industry—Annual return survey. Technical report, National Retail Federation, Washington, DC.Google Scholar
  • Neslin SA (1990) A market response model for coupon promotions. Marketing Sci. 9(2):125–145.LinkGoogle Scholar
  • Neter J, Kutner MH, Wasserman W, Nachtsheim C (1996) Applied Linear Statistical Models (McGraw-Hill/Irwin, Homewood, IL).Google Scholar
  • Ofek E, Katona Z, Sarvary M (2011) “Bricks and Clicks”: The impact of product returns on the strategies of multichannel retailers. Marketing Sci. 30(1):42–60.LinkGoogle Scholar
  • Petersen JA, Kumar V (2009) Are product returns a necessary evil? Antecedents and consequences. J. Marketing 73(3):35–51.CrossrefGoogle Scholar
  • Petersen JA, Kumar V (2015) Perceived risk, product returns, and optimal resource allocation: Evidence from a field experiment. J. Marketing Res. 52(2):268–285.CrossrefGoogle Scholar
  • PRNewswire (2013) Ruum American Kid’s Wear promotes fall blowout sale with up to 50% off children’s clothing. Accessed September 16, 2018, https://www.prnewswire.com/news-releases/ruum-american-kids-wear-promotes-fall-blowout-sale-with-up-to-50-off-childrens-clothing-229237481.html.Google Scholar
  • PRNewswire (2015) Celebrate International Women’s Day with Angara Jewelry. Accessed September 16, 2018, https://www.prnewswire.com/news-releases/celebrate-international-womens-day-with-angara-jewelry-300045598.html.Google Scholar
  • Reinartz WJ, Kumar V (2003) The impact of customer relationship characteristics on profitable lifetime duration. J. Marketing 67(1):77–99.CrossrefGoogle Scholar
  • Richardson HL (2004) Point of no returns. Material Handling Logist. (June 7), https://www.mhlnews.com/transportation-amp-distribution/point-no-returns.Google Scholar
  • Rogers D, Tibben-Lembke R (1998) Going Backwards: Reverse Logistics Trends and Practices (Reverse Logistics Executive Council, University of Nevada, Center for Logistics Management, Reno).Google Scholar
  • Rolling CA, Yang Y (2014) Model selection for estimating treatment effects. J. Roy. Statist. Soc. Ser. B 76(4):749–769.CrossrefGoogle Scholar
  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.CrossrefGoogle Scholar
  • Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J. Ed. Psych. 66(5):688–701.CrossrefGoogle Scholar
  • Rubin DB (2005) Causal inference using potential outcomes. J. Amer. Statist. Assoc. 100(469):322–331.CrossrefGoogle Scholar
  • Shulman JD, Coughlan AT, Savaskan RC (2009) Optimal restocking fees and information provision in an integrated demand-supply model of product returns. Manufacturing Service Oper. Management 11(4):577–594.LinkGoogle Scholar
  • Shulman JD, Coughlan AT, Savaskan RC (2010) Optimal reverse channel structure for consumer product returns. Marketing Sci. 29(6):1071–1085.LinkGoogle Scholar
  • Shulman JD, Coughlan AT, Savaskan RC (2011) Managing consumer returns in a competitive environment. Management Sci. 57(2):347–362.LinkGoogle Scholar
  • Shulman JD, Cunha M Jr, Clair JKS (2015) Consumer uncertainty and purchase decision reversals: Theory and evidence. Marketing Sci. 34(4):590–605.LinkGoogle Scholar
  • Sloan C (2008) Bottomless pit of promotions. Home Textiles Today (October 13), http://www.hometextilestoday.com/article/431980-bottomless-pit-of-promotions/.Google Scholar
  • Smith SA, Agrawal N (2017) Optimal markdown pricing and inventory allocation for retail chains with inventory dependent demand. Manufacturing Service Oper. Management 19(2):290–304.LinkGoogle Scholar
  • Stata-Corp (2016) Stata Statistical Software: Release 14.2 (StataCorp LP, College Station, TX).Google Scholar
  • Stober J (2001) The social desirability scale-17 (SDS-17): Convergent validity, discriminant validity, and relationship with age. Eur. J. Psych. Assessment 17(3):222–232.CrossrefGoogle Scholar
  • Su X (2009) Consumer returns policies and supply chain performance. Manufacturing Service Oper. Management 11(4):595–612.LinkGoogle Scholar
  • Sun B, Neslin SA, Srinivasan K (2003) Measuring the impact of promotions on brand switching when consumers are forward looking. J. Marketing Res. 40(4):389–405.CrossrefGoogle Scholar
  • Thaler R (1985) Mental accounting and consumer choice. Marketing Sci. 4(3):199–214.LinkGoogle Scholar
  • Terza JV, Basu A, Rathouz PJ (2008) Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econom. 27(3):531–543.CrossrefGoogle Scholar
  • Wood SL (2001) Remote purchase environments: The influence of return policy leniency on two-stage decision processes. J. Marketing Res. 38(2):157–169.CrossrefGoogle Scholar
  • Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
  • Xu L, Li Y, Govindan K, Xu X (2015) Consumer returns policies with endogenous deadline and supply chain coordination. Eur. J. Oper. Res. 242(1):88–99.CrossrefGoogle Scholar
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