A deep exploration of loyalty as a multi-dimensional behavioral system shaped by intent, habit, and sensitivity. This article introduces a geometric framework for modeling customer behavior, predicting churn trajectories, and designing ML systems that understand loyalty as a dynamic state, not a metric.
business-intelligence predictive-modeling churn-prediction customer-behavior latent-variables customer-analytics behavioral-economics ml-framework decision-intelligence behavioral-science dynamic-modeling customer-intelligence ml-system-design retention-analytics ml-interpretability loyalty-modeling multi-dimensional-ml data-science-philosophy temporal-behavior behavioral-geometry
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Updated
Dec 8, 2025