A subscription company stores customer features, such as support tickets in the last 30 days and logins per week, in a SageMaker Feature Store feature group with the offline store enabled. A new record is written for each customer every day, with an event time. To build a churn training set, an engineer joined a labels table (customer_id, snapshot_date, churned_within_60_days) to the *most recent* feature record for each customer. Validation AUC was 0.95, but the deployed model scores 0.71 on new customers, and no data drift was found.