Document Type
Theses, Ph.D
Disciplines
Computer Sciences
Abstract
This thesis investigates the potential of Machine Learning (ML) to personalize persuasive marketing messages. It explores the identification of individuals receptive to specific persuasion techniques based on their psychometric profiles. By developing ML models that incorporate these profiles, the thesis aims to predict the impact of tailored messages and improve the effectiveness of marketing communication.
DOI
https://doi.org/10.21427/41cp-1j45
Recommended Citation
Braca, Annye, "Personalized Persuasion in the Digital Age: A Data-Driven Approach to Effective Communication" (2025). Doctoral. 279.
https://arrow.tudublin.ie/sciendoc/279
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Included in
Computer Engineering Commons, Electrical and Computer Engineering Commons, Marketing Commons
Publication Details
This dissertation is submitted for the degree of Doctor of Philosophy, Technological University Dublin, April 2025.
doi:10.21427/41cp-1j45