IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v64y2011i1p51-54.html

How U.S. consumers view in-store promotions

Author

Listed:
  • Schultz, Don E.
  • Block, Martin P.

Abstract

Most sales promotion analysis, either at the external-to-the-store or in-store level, has been conducted based on what marketers have done and how consumers have responded in specific retail situations and for specific promotional techniques. Most studies, therefore are reported as, point-in-time and point-of-place specific, historical, after-the-fact results and imply a consumer preference for the measured activity. This paper provides a holistic view of how U.S. consumers regard all forms of promotion, both external-to-the-store in the form of 31 media alternatives and 23 in-store techniques across thirteen broad product categories. Data comes from twice a year online studies of representative groups of U.S. consumers, conducted since 2002. Consumers report on which in-store activities most influence their purchase decisions. From that, predictive models of consumer response to alternative promotional combinations are developed using CHAID analysis. This predictive approach is superior to traditional after-the-fact measures.

Suggested Citation

  • Schultz, Don E. & Block, Martin P., 2011. "How U.S. consumers view in-store promotions," Journal of Business Research, Elsevier, vol. 64(1), pages 51-54, January.
    • Handle: RePEc:eee:jbrese:v:64:y:2011:i:1:p:51-54
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-2963(09)00259-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. Friestad, Marian & Wright, Peter, 1994. "The Persuasion Knowledge Model: How People Cope with Persuasion Attempts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 1-31, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Legohérel, Patrick & Hsu, Cathy H.C. & Daucé, Bruno, 2015. "Variety-seeking: Using the CHAID segmentation approach in analyzing the international traveler market," Tourism Management, Elsevier, vol. 46(C), pages 359-366.
    2. Ding, Chaoxun & Zhang, Ruidan & Wu, Xuepin, 2023. "The impact of product diversity and distribution networks on consumption expansion," Journal of Business Research, Elsevier, vol. 161(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Minah H. Jung & Leif D. Nelson & Uri Gneezy & Ayelet Gneezy, 2017. "Signaling Virtue: Charitable Behavior Under Consumer Elective Pricing," Marketing Science, INFORMS, vol. 36(2), pages 187-194, March.
    2. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    3. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    4. Noah Gans & George Knox & Rachel Croson, 2007. "Simple Models of Discrete Choice and Their Performance in Bandit Experiments," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 383-408, December.
    5. Chen Zhou & Shrihari Sridhar & Rafael Becerril-Arreola & Tony Haitao Cui & Yan Dong, 2019. "Promotions as competitive reactions to recalls and their consequences," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 702-722, July.
    6. González-Benito, Óscar & Santos-Requejo, Libia, 2002. "A comparison of approaches to exploit budget allocation data in cross-sectional maximum likelihood estimation of multi-attribute choice models," Omega, Elsevier, vol. 30(5), pages 315-324, October.
    7. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    8. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    9. Wang, Xuehua & Keh, Hean Tat, 2017. "Consumer susceptibility to cross-selling persuasion: The roles of self-construal and interpersonal harmony," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 177-184.
    10. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    11. Liang Guo, 2006. "—Removing the Boundary Between Structural and Reduced-Form Models," Marketing Science, INFORMS, vol. 25(6), pages 629-632, 11-12.
    12. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    13. Meizhi Pan & Markus Blut & Arezou Ghiassaleh & Zach W. Y. Lee, 2025. "Influencer marketing effectiveness: A meta-analytic review," Journal of the Academy of Marketing Science, Springer, vol. 53(1), pages 52-78, January.
    14. Yücel, Eda & Karaesmen, Fikri & Salman, F. Sibel & Türkay, Metin, 2009. "Optimizing product assortment under customer-driven demand substitution," European Journal of Operational Research, Elsevier, vol. 199(3), pages 759-768, December.
    15. Heribert Gierl & Tina Großmann, 2008. "Imply-Benefit-Attribute im Bereich häufig gekaufter Konsumgüter," Schmalenbach Journal of Business Research, Springer, vol. 60(4), pages 355-384, June.
    16. Marshall Freimer & Dan Horsky, 2008. "Try It, You Will Like It—Does Consumer Learning Lead to Competitive Price Promotions?," Marketing Science, INFORMS, vol. 27(5), pages 796-810, 09-10.
    17. Laor, Tal, 2024. "Do micro-celebrities preserve social roles? Differences between secular and religious female Instagram lifestyle influencers," Technology in Society, Elsevier, vol. 78(C).
    18. Miguel Villas-Boas, J., 2015. "A short survey on switching costs and dynamic competition," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 219-222.
    19. Suwelack, Thomas & Hogreve, Jens & Hoyer, Wayne D., 2011. "Understanding Money-Back Guarantees: Cognitive, Affective, and Behavioral Outcomes," Journal of Retailing, Elsevier, vol. 87(4), pages 462-478.
    20. Andrés Elberg & Pedro M. Gardete & Rosario Macera & Carlos Noton, 2019. "Dynamic effects of price promotions: field evidence, consumer search, and supply-side implications," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 1-58, March.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:64:y:2011:i:1:p:51-54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.