Breakout A: TU: Optimizing Prescriptive Credit Score Improvements via Counterfactual Models

11:30 AM - Tuesday, September 15
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A significant opportunity in lending lies just below the approval threshold—among applicants who are declined not for lack of creditworthiness, but for being marginally outside policy cutoffs. This session introduces a new, data-driven approach using counterfactual models to identify the precise, achievable changes consumers can make to shift from decline to approval. Learn how lenders can move beyond generic decline messaging to deliver actionable, personalized guidance, improve customer experience, and unlock incremental growth without fundamentally loosening risk thresholds. This session shows how prescriptive analytics can bridge the gap between risk management and opportunity expansion. Attendees will walk away with a clear understanding of how counterfactual insights can be embedded into underwriting workflows to safely expand approvals, deepen customer relationships, and drive measurable portfolio impact.