R
RealaticKnowledge Base

Understanding AI lead scoring

Learn how the AI lead scoring system works and how to interpret scores.

Overview

AI lead scoring assigns a numerical value (0-100) to each lead, predicting conversion likelihood.

Scoring Factors

Primary (High Weight)

  • Budget alignment with inventory
  • Timeline urgency
  • Engagement level and response speed
  • Specific project interest

Secondary (Medium Weight)

  • Source quality
  • Communication depth (detailed questions about loans, documentation)
  • Site visit completion

Score Ranges

  • 80-100 Very Hot — immediate personal call
  • 60-79 Hot — call within 1 hour
  • 40-59 Warm — follow up within 24 hours
  • 20-39 Cool — weekly check-in
  • 0-19 Cold — monthly broadcast

Dynamic Updates

Scores update when new information is added, activities are logged, the lead responds, or time passes without engagement.

Sort leads by score to prioritize your daily calls.