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Is suggestive selling effective in increasing sales? Investigating its role in store promotion strategy using retail chain data from the U.S

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  • Dinesh Ramdas Pai

    (Pennsylvania State University at Harrisburg)

  • Siddharth Bhatt

    (Pennsylvania State University at Harrisburg)

Abstract

Suggestive selling is used as an in-store promotional tool by many retailers and some research has examined the effectiveness of this promotional tool. However, extant literature on this topic suffers from limitations of design and data. We discuss and overcome some of these limitations by examining the effectiveness of suggestive selling using store data collected from a large retail chain. We also account for many other in-store promotions implemented during a 146-week period for 6 confectionery products. We find that suggestive selling is effective in increasing sales and shopper penetration in the presence of a variety of in-store promotions. Using a rich, balanced panel dataset, we develop robust models to demonstrate the positive impact of suggestive selling. Theoretical, managerial, and methodological implications of this research are discussed.

Suggested Citation

  • Dinesh Ramdas Pai & Siddharth Bhatt, 2023. "Is suggestive selling effective in increasing sales? Investigating its role in store promotion strategy using retail chain data from the U.S," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 32-40, March.
    • Handle: RePEc:pal:jmarka:v:11:y:2023:i:1:d:10.1057_s41270-021-00152-5
    DOI: 10.1057/s41270-021-00152-5
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    1. Robert E. Krider & Tieshan Li & Yong Liu & Charles B. Weinberg, 2005. "The Lead-Lag Puzzle of Demand and Distribution: A Graphical Method Applied to Movies," Marketing Science, INFORMS, vol. 24(4), pages 635-645, April.
    2. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    3. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    4. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    5. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    6. Nerlove,Marc, 2005. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521022460, January.
    7. Sande, Jon Bingen & Ghosh, Mrinal, 2018. "Endogeneity in survey research," International Journal of Research in Marketing, Elsevier, vol. 35(2), pages 185-204.
    8. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    10. Shankar, Venkatesh & Inman, J. Jeffrey & Mantrala, Murali & Kelley, Eileen & Rizley, Ross, 2011. "Innovations in Shopper Marketing: Current Insights and Future Research Issues," Journal of Retailing, Elsevier, vol. 87(S1), pages 29-42.
    11. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    12. Baier, Daniel & Stüber, Eva, 2010. "Acceptance of recommendations to buy in online retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 173-180.
    13. Fagerstrøm, Asle & Ghinea, Gheorghita, 2011. "On the motivating impact of price and online recommendations at the point of online purchase," International Journal of Information Management, Elsevier, vol. 31(2), pages 103-110.
    14. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LLC, vol. 6(4), pages 482-496, December.
    15. Juliano Laran & Amy N. Dalton & Eduardo B. Andrade, 2011. "The Curious Case of Behavioral Backlash: Why Brands Produce Priming Effects and Slogans Produce Reverse Priming Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(6), pages 999-1014.
    16. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    17. Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
    18. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    19. Phillips, Megan & Parsons, Andrew G. & Wilkinson, Helene J. & Ballantine, Paul W., 2015. "Competing for attention with in-store promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 141-146.
    20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    21. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
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