How One Brand Uses Predictive Analytics to Predict Repeat Purchases

In this milestone 50th episode of The Retention Marketing Podcast, Lucas and Luna explore how a fast-growing DTC pet food brand, Ollie, uses predictive analytics to identify which customers are likely to churn and which are primed for a repeat purchase. They break down the specific data points Ollie tracks—from order frequency to engagement with educational emails—and how the brand uses a simple machine learning model to trigger personalized offers before customers even think about leaving. Lucas shares the exact metrics: a 28 percent reduction in churn and a 34 percent increase in repeat orders within the first six months. Luna challenges whether smaller brands can afford this technology, and Lucas explains how tools like Klaviyo and Retention Science make predictive models accessible for brands with as few as 5,000 customers. No fluff—just a concrete playbook for turning data into retention. #PredictiveAnalytics #CustomerRetention #Ollie #DTC #PetFood #MachineLearning #ChurnReduction #RepeatPurchases #Klaviyo #RetentionScience #DataDrivenMarketing #SubscriptionModel #EmailMarketing #SMSMarketing #LoyaltyStrategy #MarketingPodcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo