Bayesian Survival Analysis with PyMC: Modelling Customer Churn

Every subscription business lives or dies by churn. Whether it is a B2B SaaS platform tracking annual contracts or a consumer app watching monthly renewals, the question is the same: how long will this customer stay? The data seems straightforward. Some subscribers cancelled after a month, others after a year. But a large share of customers are still active. They have not churned yet, and you do not know when, or whether, they will. A colleague suggested dropping them from the analysis. That fel