Conversational Intelligence and Behavioural Nudging: Machine Learning Architectures for Personalised Insurance Client Engagement

Authors

  • Ana Castaño Muñoz Professor of Human-Computer Interaction, Universidad Politécnica de Madrid

Keywords:

conversational intelligence, behavioural nudging, machine learning architectures, personalised insurance client engagement

Abstract

Customer engagement is one of the key performance indicators in several industries, including insurance. Engaged customers are individuals who experience strong, frequent, and diverse interactions with a brand and, consequently, exhibit positive sales patterns, retention, satisfaction, and loyalty. It has been suggested that improving customer engagement could decrease the level of insurable asset underinsurance, increasing worldwide protection consumption.

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Published

31-12-2024

How to Cite

[1]
“Conversational Intelligence and Behavioural Nudging: Machine Learning Architectures for Personalised Insurance Client Engagement”, Adv. in Deep Learning Techniques, vol. 4, no. 2, pp. 13–20, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/762