IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v209y2026ics0148296326001232.html

Menu-Induced Preference Cannibalization: A Field Study on Designing Probabilistic Price Promotions

Author

Listed:
  • Zhang, Ruonan
  • Zhang, Xing
  • Wu, Hang

Abstract

An increasing number of companies adopt probabilistic price promotions, where consumer benefits depend on chance. Given that consumers vary in their risk preferences, should firms offer both fixed and probabilistic promotions in a menu to enhance self-selection, or stick with a single promotion type? This research examines how promotion menus affect purchase and post-purchase consumption. Across two field experiments and one preregistered online study, we find that offering a promotion menu reduces consumers’ purchase incidence compared to a single promotion scheme. However, conditional on purchase, consumers selecting from the menu demonstrate greater post-purchase consumption, indicating a stronger sunk cost effect. These findings indicate a preference cannibalization effect, where the perceived value of each option is reduced by the presence of alternative options. The results shed light on the design of price promotion strategies: while menus can reduce initial purchase incidence, they are less likely to diminish post-purchase engagement.

Suggested Citation

  • Zhang, Ruonan & Zhang, Xing & Wu, Hang, 2026. "Menu-Induced Preference Cannibalization: A Field Study on Designing Probabilistic Price Promotions," Journal of Business Research, Elsevier, vol. 209(C).
  • Handle: RePEc:eee:jbrese:v:209:y:2026:i:c:s0148296326001232
    DOI: 10.1016/j.jbusres.2026.116089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296326001232
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2026.116089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    for a different version of it.

    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:209:y:2026:i:c:s0148296326001232. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.