Enhancing elderly customers engagement: a case study of Amplifon S.p.a.

Soussi, Fatma (A.A. 2023/2024) Enhancing elderly customers engagement: a case study of Amplifon S.p.a. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 113. [Master's Degree Thesis]

[img] PDF (Full text)
Restricted to Registered users only

Download (2MB) | Request a copy

Abstract/Index

Literature review. The role of direct mail in customer engagement. Shift from product-centric to customer-centric. Personalized communication for the elderly demographic. Neuroscience and human technologies in customer engagement. Case study: Amplifon S.p.a. CRM evolution project. Gaps in literature and future research directions. Research design and methods. Methodological approach. Participant selection. Data collection and analysis methods. Utilization of neuroscience technologies. Integration of data sources. Ethical guidelines and participant protection measures. Preliminary interviews and co-design sessions. Eye tracking and emotion recognition studies. Development and optimization of DM content.

References

Bibliografia: pp. 110-113.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Machine learning
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Coppa, Emilio
Academic Year: 2023/2024
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 19 Dec 2024 13:36
Last Modified: 19 Dec 2024 13:36
URI: https://tesi.luiss.it/id/eprint/40706

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item