IDEAS home Printed from https://ideas.repec.org/a/aza/ama000/y2017v3i4p314-323.html
   My bibliography  Save this article

There is no personalisation without orchestration

Author

Listed:
  • Hatch, David

Abstract

For many in marketing, personalisation is the current ‘Holy Grail’. But while some firms are seeing results, most are not realising the intended value from the investments they make in personalisation initiatives. The projects, once started, live and breathe on customer insights — but customer insights are not enough. The insights derived from advanced marketing/customer analytics (especially when applied to combined ‘Big Data’ and customer interaction data), are too often left languishing within stove-piped teams, processes and systems. To achieve personalisation outcomes, insights must be aggregated in alignment with how customers think and behave, and then converted to actions that impact and improve the customer experience. ‘Insight activation’ equates to the ‘orchestration’ of a personalisation strategy, and one that too many organisations struggle to traverse due to the legacy of solving the company’s needs of the moment. This paper explores the challenges, root causes and new approaches that organisations can use to properly orchestrate a personalised customer experience.

Suggested Citation

  • Hatch, David, 2017. "There is no personalisation without orchestration," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 3(4), pages 314-323, November.
  • Handle: RePEc:aza:ama000:y:2017:v:3:i:4:p:314-323
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/729/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/729/
    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; personalisation; artificial intelligence; Big Data; customer experience; data activation;
    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:2017:v:3:i:4:p:314-323. 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.