Klaviyo’s predictive analytics features use machine learning to forecast customer behavior — giving you the ability to market proactively rather than reactively. These AI-powered insights can significantly improve targeting precision and email revenue.
What Is Klaviyo Predictive Analytics?
Klaviyo’s predictive analytics analyzes historical purchase data to predict future customer behavior. Key predictions include: Predicted Lifetime Value (LTV), Probability of Churn, Expected Next Order Date, and Product Recommendations. These predictions update dynamically as new data comes in.
Using Predicted LTV for Segmentation
Segment your list by predicted LTV to create high-value, medium-value, and low-value customer tiers. Focus your most premium offers and personalized outreach on high predicted LTV customers. This simple segmentation alone can increase your campaign revenue per recipient by 30–50%.
Churn Prediction Flows
Create a Klaviyo flow that triggers when a customer’s churn probability crosses a threshold (e.g., 40% probability of not purchasing again). This proactive re-engagement flow, fired before the customer technically lapses, has significantly higher conversion rates than traditional winback flows triggered after 90+ days of inactivity.
Expected Next Order Date Targeting
Klaviyo predicts when each customer is likely to purchase next. Use this data to send timely nudges in the days leading up to their predicted purchase date. A well-timed “Ready to reorder?” email sent 3 days before a customer’s predicted order date converts at 3–5x the rate of random campaign sends.
Predictive Product Recommendations
Klaviyo’s predictive product recommendations suggest products each individual customer is most likely to purchase based on their purchase history, browsing behavior, and behavioral similarities to other customers. Use these in post-purchase flows, newsletters, and re-engagement campaigns for highly personalized experiences.
Getting the Most from Predictive Features
Predictive analytics improves with more data — results are best for brands with 1,000+ customers and 6+ months of purchase history. Ensure your eCommerce integration is set up correctly to pass all event data to Klaviyo, and review predictive segments regularly as the model updates with new customer behavior.