From chatbots to predictive analytics: evaluating the effects of AI-driven marketing technologies on customer experience metrics
Romani, Sabrina (A.A. 2024/2025) From chatbots to predictive analytics: evaluating the effects of AI-driven marketing technologies on customer experience metrics. Tesi di Laurea in Marketing metrics, Luiss Guido Carli, relatore Michele Costabile, pp. 109. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
The impact of AI-driven marketing technologies on customer experience metrics: context, literature and research gaps. Phenomenon and managerial relevance. Literature review. Gaps in the literature. Conceptual framework and research design. Theoretical approach and the methodological challenge of data scarcity. Research questions anchored in literature gaps. Theoretical foundations for an integrated framework. Integrated conceptual model and theoretical propositions. Validation roadmap. Validation of the conceptual model: theoretical triangulation, quantitative simulation and business cases. Introduction and methodological goals. Theoretical triangulation of the model. Quantitative validation through Monte Carlo simulation. Qualitative analysis of business cases on the use of AI in customer experience management.
References
Bibliografia: pp. 103-109.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Marketing metrics |
| Thesis Supervisor: | Costabile, Michele |
| Thesis Co-Supervisor: | De Mauro, Andrea |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 09 Jun 2026 12:08 |
| Last Modified: | 09 Jun 2026 12:08 |
| URI: | https://tesi.luiss.it/id/eprint/46116 |
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