TrueLoyal’s predictive model goes beyond past activity by assigning each member a risk score and segmenting them for action. It combines purchase data, surveys, social sentiment, and browsing signals to flag churn risks early and trigger timely offers, with insights built directly into member profiles and campaign tools for instant use.
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GLOTrueLoyal, the newly merged loyalty platform born from Zinrelo and TINT, has launched an AI-driven Churn Prediction engine that identifies which loyalty members are likely to lapse and activates precision win-back journeys—moving brands from backward-looking reports to proactive retention. In beta testing, brands using the tool achieved nearly a 10% lift in customer winbacks, boosting revenue per member and lifetime value.
Unlike traditional dashboards that summarize past activity, TrueLoyal’s predictive model looks ahead—assigning every member a risk score and categorizing them into actionable segments. It fuses online and in-store transactions with survey responses, social sentiment, and browsing signals to trigger timely offers. For example, a decline in engagement combined with a negative product review could flag a member as high-risk weeks before they would normally drop out. Risk scores and insights are embedded directly into member profiles, campaign tools, and analytics dashboards so they are immediately actionable.
CEO Sameer Kamat emphasized that customer retention has become today’s core driver of profitable growth, noting that one-to-one personalization at scale is now practical thanks to predictive intelligence. The launch follows the August merger that created TrueLoyal, positioning the company as a next-generation loyalty suite spanning gamified engagement, predictive analytics, and creator-powered commerce media.
For loyalty leaders, the economics are clear: retaining customers is far more cost-effective than acquiring new ones. Industry studies show that churn modeling is among the top drivers of loyalty ROI, and the global AI loyalty solutions market is expected to more than double by 2030, fueled by hyper-personalization and real-time analytics.
TrueLoyal’s Churn Prediction is available immediately to its clients, offering sector-specific models for industries such as beauty, CPG, and automotive aftermarket. Playbooks map each risk segment to tailored offers, benefits, and communications—helping brands concentrate their marketing spend on the members who matter most.
Source: TrueLoyal
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