IDEAS home Printed from https://ideas.repec.org/a/aza/ama000/y2019v4i4p300-310.html
   My bibliography  Save this article

Using marketing analytics for improved health engagement and outcomes

Author

Listed:
  • Fogarty, David
  • Jing, Lin
  • Harrison, Peter

Abstract

Marketing insights generated from analytical methods have been used by firms for decades to promote the consumption of indulgent products. Customer insights generated from marketing science also show great promise in encouraging health engagement and improving health outcomes through intervention programmes. This paper presents a health insurance case study that replicates the effects of leveraging marketing analytics into preventive care, by building targeting segmentation to better understand the customer’s profile as well as design the optimal interaction and communication methods based on each segment’s preferences and characteristics. The findings indicate that marketing analytics enable a significantly greater improvement in health engagement and outcomes, as compared with control groups with non-specific interactions or ones which are non-personalised. The results provide further evidence of the benefits of leveraging marketing analytics in health engagement.

Suggested Citation

  • Fogarty, David & Jing, Lin & Harrison, Peter, 2019. "Using marketing analytics for improved health engagement and outcomes," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 4(4), pages 300-310, March.
  • Handle: RePEc:aza:ama000:y:2019:v:4:i:4:p:300-310
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/2879/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/2879/
    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

    marketing analytics; health engagement; healthcare; preventive care; market segmentation; Big Data;
    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:2019:v:4:i:4:p:300-310. 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.