A Deep Learning-based Optimization Model for Advertisement Campaign
Non-profit organizations often struggle to fully utilize the ${\$} 10,000$ online Ads grant to enhance their online presence and attract aligned donors due to a lack of expertise in digital marketing. This gap in effective utilization limits their potential reach and undermines their growth and mission impact. This proposal outlines a solution leveraging cloud computing and artificial intelligence (AI) to address this challenge. By integrating advanced cloud-based tools and AIdriven analytics, we can provide these organizations with tailored strategies and automated support to optimize their Google Ads campaigns. This approach will enable non-profits to maximize their advertising budget, refine targeting strategies, and improve engagement with prospective donors, ultimately fostering greater alignment with their causes and driving sustainable growth.
Authors
- N. Ramadevi
- Pamula Udayaraju (ORCID: https://orcid.org/0000-0001-9013-6259)
- S. Swamy (ORCID: https://orcid.org/0000-0002-5798-961X)
- Venkata Gummadi
- Chaitanya Ravulu
- Dhanunjay Reddy Seelam
Institutions
- Walmart (United States) (US)
- Sri Ramachandra Institute of Higher Education and Research (IN)
- Expedia Group (United States) (US)
- SRM University (IN)
- SRKR Engineering College
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/icosec61587.2024.10722166
- Citations
- 3
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 1.47