Document Type
Poster
Publication Date
Fall 2024
Abstract
This project presents a multi-agent framework designed to help marketers quickly create, test, and understand digital marketing campaigns. By combining state-of-the-art language models, automated content generation, simulated audience feedback through personas, and organized data analysis, this framework aims to save time, reduce guesswork, and offer clear insights. The result is a more efficient way for marketers to improve their campaigns and reach the right audience.
Recommended Citation
Shrestha, Samyak and Chun, Jon, "Multi-Agent Framework for Digital Marketing Optimization" (2024). IPHS 391: Interdisciplinary AI Frontiers. Paper 3.
https://digital.kenyon.edu/dh_iphs_391/3
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.