 Predictive Lead Scoring leverage first party data - such as internal marketing, sales & product data - as well as third party data - such as data enrichment & intent data - in order to build a machine learning model of the ideal customer profile.Predictive Lead Scoring models can also be used to identify, qualify & engage product-qualified leads based identifying statistically differentiating elements in historical user behavior which best predicts whether a user will spend above a certain threshold.Predictive Lead Scoring is particularly beneficial for SaaS businesses, which have a high Customer lifetime value & a plethora of customer data.