IDEAS home Printed from https://ideas.repec.org/a/bjx/jomwor/v2025y2025i1p191-197id635.html
   My bibliography  Save this article

The Long-Term Effectiveness of Live Streaming Marketing: Analysing Factors Affecting Purchase Intention and Customer Loyalty

Author

Listed:
  • Nelvina Christanti Santoso
  • Luh Putu Mayhuni
  • Bagastya Christian Santoso
  • R Tri Priyono Budi Santoso

Abstract

Marketing strategies have shifted significantly away from conventional advertising methods and toward a more modern approach, digital marketing. Subsequently, the emergence of live broadcast marketing was caused by the increasing popularity of social media. Every generation uses social media at least once a day, making it a habitual activity. As live broadcast marketing is a cost-effective strategy for businesses, marketers began to adopt the live streaming marketing strategy. TikTok is one of the examples of social media that has a live streaming feature and has the most downloads in Indonesia. However, most of the previous studies mainly investigated the factors determining the viewer’s purchase intention but did not explore the effectiveness of TikTok live streaming marketing from the perspective of customers’ loyalty in the future. This study aims to investigate the roles of streamers’ attractiveness, E-WOM, and perceived risk on purchase intention and customer loyalty. The research is conducted in Indonesia with their popularity of live streaming marketing strategy. The population of this research is Generation Y and Z. The research method was quantitative, utilizing questionnaires with the 5-scale Likert Scale to gather data. The result of the investigation depicts that streamer’s attractiveness, E-WOM, and perceived risk have a significant impact on elevating the customers’ loyalty by positively influencing purchase intention. The implications and recommendations are also included in this paper.

Suggested Citation

  • Nelvina Christanti Santoso & Luh Putu Mayhuni & Bagastya Christian Santoso & R Tri Priyono Budi Santoso, 2025. "The Long-Term Effectiveness of Live Streaming Marketing: Analysing Factors Affecting Purchase Intention and Customer Loyalty," Journal of Management World, Academia Publishing Group, vol. 2025(1), pages 191-197.
  • Handle: RePEc:bjx:jomwor:v:2025:y:2025:i:1:p:191-197:id:635
    as

    Download full text from publisher

    File URL: https://managementworld.online/index.php/mw/article/view/635/389
    Download Restriction: Access to full texts is restricted to Journal of Management World
    ---><---

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

    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:bjx:jomwor:v:2025:y:2025:i:1:p:191-197:id:635. 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: Lucía Aguado (email available below). General contact details of provider: https://managementworld.online/index.php/mw/ .

    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.