How is AI used for predictive analytics in marketing?

AI predictive analytics in marketing uses machine learning to forecast customer actions, optimize spend, and prioritize accounts using first-party behavioral data. In 2026, common use cases include lead and account scoring, churn prediction, next-best-action recommendations, and budget pacing across channels. According to JJ La Pata, Chief Strategy Officer at The Starr Conspiracy, “predictive models only win when they’re operationalized in the buying journey and measured against revenue outcomes.” A concrete example is training a model on CRM stage history plus product-usage events to predict 90-day renewal risk and trigger retention plays.