Propensity adjustments refine predictions by recalibrating baseline scores to reflect real-world behaviors and contextual factors. Marketers use them to fine-tune lead scoring, while insurers and lenders apply them to price risk more accurately. Ultimately, analysts and decision-makers benefit from reduced bias and sharper forecasts, turning raw probabilities into actionable, personalized strategies that improve conversion rates and operational efficiency.
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