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The Sales Velocity Effect on Retailing

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  • Ho, Edward
  • Kowatsch, Tobias
  • Ilic, Alexander

Abstract

In an increasingly crowded marketplace, retailers need innovative ways of promoting products to their consumers. E-commerce retailers have utilized to great effect lists of top ranked products to promote product sales; the higher the sales rank, the more likely consumers buy that product. This influence to buy, based on observing what others bought is known as observational learning (OL). Prior OL research assumed that OL arises from observing a static outcome, such as the current sales rank of a product. However, prior research on intertemporal choice showed that people prefer outcomes with increasing trends over stable or decreasing trends. This suggests that observing an increasing sales rank, denoted as sales velocity, would have a positive effect on purchase likelihood. We conducted three studies to test the sales velocity effect. Results show that sales velocity has a significant effect on likelihood of purchases, reversing even participant preferences for a product with a higher sales rank. This effect is consistent across four broad products tested. For researchers, by joining the two previously disparate branches of research in OL and intertemporal choice, we addressed a gap in OL research which previously ignored the velocity dimension of OL. For retailers, the study demonstrated the impact of the sales velocity metric on making choices, and thus they could use sales velocity data as a cost-effective marketing tool for specific products.

Suggested Citation

  • Ho, Edward & Kowatsch, Tobias & Ilic, Alexander, 2014. "The Sales Velocity Effect on Retailing," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 237-256.
  • Handle: RePEc:eee:joinma:v:28:y:2014:i:4:p:237-256
    DOI: 10.1016/j.intmar.2014.05.003
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    as
    1. Benjamin Scheibehenne & Rainer Greifeneder & Peter M. Todd, 2010. "Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 409-425, October.
    2. Franziska Völckner & Julian Hofmann, 2007. "The price-perceived quality relationship: A meta-analytic review and assessment of its determinants," Marketing Letters, Springer, vol. 18(3), pages 181-196, September.
    3. Burke, Raymond R, et al, 1992. "Comparing Dynamic Consumer Choice in Real and Computer-Simulated Environments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 71-82, June.
    4. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    5. Daniel Fleder & Kartik Hosanagar, 2009. "Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity," Management Science, INFORMS, vol. 55(5), pages 697-712, May.
    6. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    7. Y. Charles Zhang & Norbert Schwarz, 2012. "How and Why 1 Year Differs from 365 Days: A Conversational Logic Analysis of Inferences from the Granularity of Quantitative Expressions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 248-259.
    8. Harlam, Bari A. & Krishna, Aradhna & Lehmann, Donald R. & Mela, Carl, 1995. "Impact of bundle type, price framing and familiarity on purchase intention for the bundle," Journal of Business Research, Elsevier, vol. 33(1), pages 57-66, May.
    9. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    10. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    11. Hoyer, Wayne D, 1984. "An Examination of Consumer Decision Making for a Common Repeat Purchase Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 822-829, December.
    12. Ailawadi, Kusum L. & Beauchamp, J.P. & Donthu, Naveen & Gauri, Dinesh K. & Shankar, Venkatesh, 2009. "Communication and Promotion Decisions in Retailing: A Review and Directions for Future Research," Journal of Retailing, Elsevier, vol. 85(1), pages 42-55.
    13. Rajesh Bagchi & Xingbo Li, 2011. "Illusionary Progress in Loyalty Programs: Magnitudes, Reward Distances, and Step-Size Ambiguity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 888-901.
    14. Dina Mayzlin & Judith A. Chevalier, 2003. "The Effect of Word of Mouth on Sales: Online Book Reviews," Yale School of Management Working Papers ysm413, Yale School of Management.
    15. Ashwani Monga & Rajesh Bagchi, 2012. "Years, Months, and Days versus 1, 12, and 365: The Influence of Units versus Numbers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(1), pages 185-198.
    16. Herr, Paul M & Kardes, Frank R & Kim, John, 1991. "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 454-462, March.
    17. M. Pandelaere & B. Briers, 2011. "How to Make a 29% Increase Look Bigger: Numerosity Effects in Option Comparisons," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/712, Ghent University, Faculty of Economics and Business Administration.
    18. Jean-Noël Kapferer & Gilles Laurent, 1985. "Measuring consumer involvement profiles," Post-Print hal-00786781, HAL.
    19. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    20. Oliver, Richard L, 1993. "Cognitive, Affective, and Attribute BAses of the Satisfaction Response," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 418-430, December.
    21. Derbaix, C., 1983. "Perceived risk and risk relievers: An empirical investigation," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 19-38.
    22. Michael Waldman, 2003. "Durable Goods Theory for Real World Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 131-154, Winter.
    23. West, Patricia M, 1996. "Predicting Preferences: An Examination of Agent Learning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(1), pages 68-80, June.
    24. DelVecchio, Devon & Lakshmanan, Arun & Krishnan, H. Shanker, 2009. "The Effects of Discount Location and Frame on Consumers’ Price Estimates," Journal of Retailing, Elsevier, vol. 85(3), pages 336-346.
    25. Peter T. L. Popkowski Leszczyc & Frank M. Bass, 1998. "Determining the effects of observed and unobserved heterogeneity on consumer brand choice," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 14(2), pages 95-115, June.
    26. Holbrook, Morris B & Hirschman, Elizabeth C, 1982. "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 132-140, September.
    27. Ratner, Rebecca K & Kahn, Barbara E & Kahneman, Daniel, 1999. "Choosing Less-Preferred Experiences for the Sake of Variety," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(1), pages 1-15, June.
    28. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    29. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    30. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    31. Mario Pandelaere & Barbara Briers & Christophe Lembregts, 2011. "How to Make a 29% Increase Look Bigger: The Unit Effect in Option Comparisons," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 308-322.
    32. Haipeng (Allan) Chen & Akshay R. Rao, 2007. "When Two Plus Two Is Not Equal to Four: Errors in Processing Multiple Percentage Changes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 327-340, June.
    33. Bruce G. S. Hardie & Eric J. Johnson & Peter S. Fader, 1993. "Modeling Loss Aversion and Reference Dependence Effects on Brand Choice," Marketing Science, INFORMS, vol. 12(4), pages 378-394.
    34. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    35. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    36. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
    37. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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