Thanx, a leading provider of digital guest engagement and retention tools for retailers and restaurants, today announced an enhanced offering for intelligently identifying and winning back valued guests with a high risk of churn. Thanx Personalized Winback uses an advanced ensemble-based Machine Learning algorithm to predict the churn likelihood of an individual guest based on nearly 40 data points, including spend and visit frequency compared to past behavior, recent and historic customer satisfaction, average check, LTV, likelihood of reacquisition and more. Once identifying the right at-risk guests, Thanx Personalized Winback automatically encourages those guests to return with personalized incentives. This press release features multimedia. Based on this cutting-edge Machine Learning capability, Thanx predicts an individual's likelihood of churn faster and with a higher degree of accuracy than traditional retention programs.