How Email List Lifecycle Scoring Predicts Churn

Lucas and Luna dive into email lifecycle scoring—a predictive model that scores subscribers based on recency, frequency, and engagement to forecast churn before it happens. Lucas breaks down how companies like the outdoor retailer REI use a five-segment lifecycle model (new, active, lapsing, dormant, churned) to tailor re-engagement and retention campaigns. They discuss real data: how a simple RFM (recency, frequency, monetary) score can boost retention by 15% in 90 days. Luna challenges whether scoring works for small lists, and Lucas shows how even a 500-subscriber list can benefit. They also explore how lifecycle scoring integrates with ESP automation, using examples from a real B2B SaaS case where scoring reduced list decay by 22% year-over-year. The episode closes with a forward-looking note on how AI might make lifecycle scoring predictive in real time. #EmailMarketing #LifecycleScoring #ChurnPrediction #RFM #SubscriberEngagement #EmailRetention #Marketing #REI #B2BSaaS #EmailAutomation #ListDecay #PredictiveAnalytics #EmailSegmentation #ReEngagement #SubscriberHealth #FexingoBusiness #BusinessPodcast #EmailPodcast Keep every episode free: buymeacoffee.com/fexingo