Optimizing Auction Based Programmatic Media Buying for Retail Media Networks

Authors

  • Rajas Paresh Kshirsagar Independent Researcher, N.Y. University, Malad (W), Mumbai - 400064, Maharashtra, India,
  • Santhosh Vijayabaskar Independent Researcher, Northern Kentucky University, Kentucky, Chennai, Tamil Nadu, India,
  • Bipin Gajbhiye Independent Researcher, Johns Hopkins University,
  • Om Goel Independent Researcher, Abes Engineering College Ghaziabad,
  • Prof.(Dr.) Arpit Jain Independent Researcher, KL University, Vijaywada, Andhra Pradesh,
  • Prof.(Dr) Punit Goel Research Supervisor , Maharaja Agrasen Himalayan Garhwal University, Uttarakhand,

DOI:

https://doi.org/10.36676/urr.v9.i4.1398

Keywords:

Programmatic Media Buying, Auction-Based Systems, Retail Media Networks, Real-Time Bidding

Abstract

In the rapidly evolving landscape of digital advertising, retail media networks have emerged as pivotal platforms for brands to engage consumers directly at the point of purchase. Auction-based programmatic media buying within these networks leverages real-time bidding (RTB) to efficiently allocate advertising budgets, ensuring targeted and timely ad placements. This paper explores strategies to optimize auction-based programmatic media buying specifically tailored for retail media networks. It begins by elucidating the fundamental mechanics of programmatic auctions, including key components such as demand-side platforms (DSPs), supply-side platforms (SSPs), 

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Published

2022-12-30
CITATION
DOI: 10.36676/urr.v9.i4.1398
Published: 2022-12-30

How to Cite

Rajas Paresh Kshirsagar, Santhosh Vijayabaskar, Bipin Gajbhiye, Om Goel, Prof.(Dr.) Arpit Jain, & Prof.(Dr) Punit Goel. (2022). Optimizing Auction Based Programmatic Media Buying for Retail Media Networks. Universal Research Reports, 9(4), 675–716. https://doi.org/10.36676/urr.v9.i4.1398

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Original Research Article

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