Rules-based personalization applies static segmentation and predefined triggers. Algorithmic personalization uses dynamic propensity modelling and contextual learning.

Comparison

Feature Rules-Based Algorithmic
Segmentation Static Dynamic
Learning Manual updates Continuous optimisation
Context Awareness Limited High

Hybrid architectures often outperform pure approaches by combining governance clarity with predictive precision.

References: – Gartner, Personalisation in Financial Services – Boston Consulting Group, AI-Driven Customer Engagement