Predictive scoring uses historical data and machine learning to assign a numerical value estimating future outcomes, like purchase likelihood or churn risk. Marketers prioritize high-scoring leads for outreach, while sales teams focus efforts on the most promising prospects. Customer success teams also benefit by identifying at-risk accounts for proactive retention.
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