IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v71y2025i2p1050-1073.html
   My bibliography  Save this article

Online Advertising as Passive Search

Author

Listed:
  • Raluca Mihaela Ursu

    (Stern School of Business, New York University, New York, New York 10012)

  • Andrey Simonov

    (Columbia Business School, New York, New York 10027; The Centre for Economic Policy Research, London EC1V 0DX, United Kingdom)

  • Eunkyung An

    (Stern School of Business, New York University, New York, New York 10012)

Abstract

Standard search models assume that consumers actively decide on the order, identity, and number of products they search. We document that online, a large fraction of searches happen in a more passive manner, with consumers merely reacting to online advertisements that do not allow them to choose the timing or the identity of products to which they will be exposed. Using a clickstream panel data set capturing full URL addresses of websites that consumers visit, we show how to detect whether a click is ad initiated. We then report that in the apparel category, ad-initiated clicks account for more than half of all website arrivals, are more concentrated early on in the consumer search process, and lead to less in-depth searches and fewer transactions, consistent with the passive nature of these searches. To account for these systematic differences between active and passive searches, we propose and estimate a simple model that accommodates both types of searches. Our results show that incorrectly treating all searches as active inflates the estimated value of brands that advertise frequently. Our model can more accurately recover data patterns, especially for advertising brands. We finish with model extensions and a discussion of the managerial implications.

Suggested Citation

  • Raluca Mihaela Ursu & Andrey Simonov & Eunkyung An, 2025. "Online Advertising as Passive Search," Management Science, INFORMS, vol. 71(2), pages 1050-1073, February.
  • Handle: RePEc:inm:ormnsc:v:71:y:2025:i:2:p:1050-1073
    DOI: 10.1287/mnsc.2022.02154
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.02154
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.02154?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
    ---><---

    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:inm:ormnsc:v:71:y:2025:i:2:p:1050-1073. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.