IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i4id9660.html

A Framework for Cross-Channel Attribution and ROI Measurement: Integrating Online and Offline Data

Author

Listed:
  • Ashutosh Verma

    (Meta, USA)

Abstract

The digital transformation of consumer behavior has created an intricate web of interactions across online and offline channels, necessitating sophisticated attribution frameworks. This framework addresses the challenges of integrating multichannel data while providing actionable insights for marketing effectiveness. By combining digital and physical touchpoints, the framework enables organizations to develop accurate attribution models that capture the complete customer journey. The integration of advanced analytics with traditional metrics creates a holistic view of marketing performance, leading to improved resource allocation and return on investment. Through structured implementation processes and stakeholder engagement, organizations can effectively deploy cross-channel attribution systems that adapt to evolving market dynamics.

Suggested Citation

  • Ashutosh Verma, 2025. "A Framework for Cross-Channel Attribution and ROI Measurement: Integrating Online and Offline Data," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 862-869, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9660
    DOI: 10.32996/jcsts.2025.7.4.100
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9660
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/9660/8648
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jcsts.2025.7.4.100?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:alk:jcsts0:v:7:y:2025:i:4:id:9660. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    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.