Predictive lead scoring is a data-driven approach to evaluating and ranking prospects based on their likelihood to convert into customers, using advanced analytics and machine learning models. Instead of relying on static rules or manual assumptions, it analyzes historical customer data, behavioral signals, firmographic attributes, and real-time engagement patterns to identify high-intent leads. By continuously learning from outcomes, predictive lead scoring helps B2B marketing and sales teams prioritize the most sales-ready prospects, improve conversion rates, and align outreach efforts with accounts that have the highest probability of driving revenue.
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