IDEAS home Printed from https://ideas.repec.org/a/ids/ijemre/v11y2020i1p81-111.html
   My bibliography  Save this article

Attribution modelling in an omni-channel environment – new requirements and specifications from a practical perspective

Author

Listed:
  • Ole Nass
  • José Albors Garrigós
  • Hermenegildo Gil Gómez
  • Klaus-Peter Schoeneberg

Abstract

How much am I, the customer, currently worth to a company? The answer to this question is very important for the marketing team but difficult to obtain. In an omni-channel environment, the degree of complexity for answering this question has reached a new level. Based on a structured literature research process, existing dynamic budget allocation approaches are identified and evaluated regarding their applicability in an omni-channel environment. For the evaluation process of these identified models, assessment criteria are needed. Structured interviews are conducted with experts in the field of attribution to formulate evaluation criteria, which are being used to evaluate the applicability of the defined models. This article describes why existing dynamic attribution models are not suitable for an omni channel environment and what features need to be part of a new future-ensured omni-channel attribution model. The authors conclude by presenting questions for future research in the field of dynamic attribution.

Suggested Citation

  • Ole Nass & José Albors Garrigós & Hermenegildo Gil Gómez & Klaus-Peter Schoeneberg, 2020. "Attribution modelling in an omni-channel environment – new requirements and specifications from a practical perspective," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 11(1), pages 81-111.
  • Handle: RePEc:ids:ijemre:v:11:y:2020:i:1:p:81-111
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106432
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Koch & Michael Hartmann, 2023. "Importance of the perceived quality of touchpoints for customer journey analysis – evidence from the B2B sector," Electronic Commerce Research, Springer, vol. 23(3), pages 1515-1538, September.

    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:ids:ijemre:v:11:y:2020:i:1:p:81-111. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=43 .

    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.