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, allowing companies to prioritize leads most likely to convert and improving marketing and sales alignment. Predictive scoring also identifies previously unseen patterns that can optimize a company's lead scoring system over time.