IDEAS home Printed from https://ideas.repec.org/a/aza/ama000/y2016v2i1p84-91.html
   My bibliography  Save this article

Maximising the value of a pharmaceutical line extension using discrete choice modelling, secondary data and market segmentation

Author

Listed:
  • Latta, Michael
  • Clark, Melissa

    (Assistant Professor, Department of Management and Marketing, Berry College, USA)

Abstract

Pharmaceutical marketing is an industry that differs from consumer marketing in many ways. Pharmaceutical marketers must consider many factors when making product development choices. This study utilises a discrete choice model to make a recommendation for maximising the value of a cough syrup product line extension by an established pharmaceutical company, Celltech. Two cough syrups — Tussionex®, a hydrocodone polistirex extended release suspension product, and Delsym®, a dextromethorphan polistirex extended release suspension product — were already marketed by Celltech. Primary data in the form of a telephone survey of 160 primary care physicians and 140 paediatricians and secondary data from the IMS National Prescription Audit were utilised to inform the research process and generate tradeoff and cannibalisation analyses. Those analyses were done and FDA approval was obtained for the product (Codeprex®, a codeine polistirex extended release suspension product) in 2004, but the product was abandoned after Celltech was acquired by UCB-USA. The value of FDA-approved Codeprex™ was shown to be maximised by the tradeoff and cannibalisation analyses, but corporate strategy trumps applied marketing analytics in this case.

Suggested Citation

  • Latta, Michael & Clark, Melissa, 2016. "Maximising the value of a pharmaceutical line extension using discrete choice modelling, secondary data and market segmentation," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 2(1), pages 84-91, February.
  • Handle: RePEc:aza:ama000:y:2016:v:2:i:1:p:84-91
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/4545/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/4545/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    pharmaceutical marketing; discrete choice model; physicians; product line extension; secondary data; market segmentation;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

    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:aza:ama000:y:2016:v:2:i:1:p:84-91. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.