How predictive lead scoring works
Predictive lead scoring is an AI-powered feature in Dynamics 365 Sales that trains on your historical lead data to predict conversion likelihood. The system analyzes patterns from leads that were qualified versus those that were disqualified, then applies that learning to score your current leads.
The model evaluates lead attributes such as lead source, industry, company size, email engagement, and website activity signals. It identifies which fields most strongly predict conversion for your specific business—these appear as “top influencing factors” on each lead record. Unlike static rules-based scoring, the AI model adapts to your unique sales patterns and continuously learns as new data arrives.
Each lead receives a numerical score from 1 to 100 and a corresponding grade (A, B, C, or D) for quick visual reference. The score refreshes automatically as lead behavior changes—when a lead opens emails, visits pricing pages, or updates their profile, the score adjusts to reflect the new information.