How One Brand Uses SMS to Predict When Customers Will Churn

Lucas and Luna dive into how a mid-market DTC brand called Pique Life uses purchase-frequency data and SMS triggers to predict churn before it happens. Lucas explains how the brand's data team built a simple model using average repurchase cycle and last-purchase date to identify at-risk customers, then sends a timely SMS with a personalized discount. The result: a 28 percent reduction in churn within one quarter. The hosts break down the exact metrics Pique used—average days between purchases, standard deviation, and the 'red zone' threshold—and discuss why SMS, not email, was the right channel for this intervention. They also touch on the ethical line between helpful reminders and pushy marketing, and how small brands can replicate this approach without a data science team. #RetentionMarketing #SMSMarketing #ChurnPrediction #CustomerLoyalty #PiqueLife #DTCMarketing #PredictiveAnalytics #MarketingStrategy #CustomerRetention #EcommerceMarketing #Personalization #BehavioralData #SMSTriggers #ChurnReduction #DataDrivenMarketing #MarketingPodcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo