Predictive lead scoring uses machine learning algorithms to analyze large amounts of internal and external data to more accurately predict a lead's likelihood of converting. It assigns scores based on thousands of attributes and signals, including behaviors and demographics. This removes reliance on assumptions and intuition, provides a deeper understanding of prospects, and allows companies to base important decisions on data rather than opinions. When implemented, predictive lead scoring typically improves marketing and sales alignment and ROI.