IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v3y2024i1p431-445id246.html
   My bibliography  Save this article

The Role of Artificial Intelligence in Enhancing Ad Personalization: A Study on Programmatic Advertising

Author

Listed:
  • Ankush Singhal

Abstract

This study examines the impact of artificial intelligence (AI) on ad personalization within the realm of programmatic advertising, exploring how AI-driven techniques optimize targeting and engagement. By leveraging AI algorithms, programmatic advertising systems can analyze vast datasets to deliver highly personalized ad experiences tailored to individual users. The research delves into the mechanisms by which AI enhances personalization, from predictive analytics to real-time data processing, and assesses the implications for both advertisers and consumers. Our findings indicate that AI-powered personalization not only increases ad relevance but also improves user satisfaction, engagement, and conversion rates. However, ethical considerations, such as data privacy and transparency, remain critical. This study provides a comprehensive overview of AI’s role in programmatic advertising, addressing both technological advancements and ethical challenges, with recommendations for future research and industry practices.

Suggested Citation

  • Ankush Singhal, 2024. "The Role of Artificial Intelligence in Enhancing Ad Personalization: A Study on Programmatic Advertising," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 431-445.
    • Handle: RePEc:das:njaigs:v:3:y:2024:i:1:p:431-445:id:246
    as

    Download full text from publisher

    File URL: https://newjaigs.com/index.php/JAIGS/article/view/246
    Download Restriction: no
    ---><---

    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:das:njaigs:v:3:y:2024:i:1:p:431-445:id:246. 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: Open Knowledge (email available below). General contact details of provider: https://newjaigs.com/index.php/JAIGS/ .

    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.