How is a lead score calculated?
URBLD evaluates contact completeness, channel of origin, time of day, repeat-customer signals, ad-source quality, and AI receptionist qualification answers. Scores update in real time as new signals arrive.
Lead scoring ranks new leads by their likelihood to convert using completeness, intent signals, response speed, and source quality. URBLD scores every inbound lead automatically so reps work the highest-value opportunities first instead of triaging from a flat queue.
URBLD evaluates contact completeness, channel of origin, time of day, repeat-customer signals, ad-source quality, and AI receptionist qualification answers. Scores update in real time as new signals arrive.
Reps usually work the loudest lead, not the best one. Scoring forces a ranked queue so the strongest opportunities get the fastest human touch — the single biggest predictor of close rate in service businesses.
Scores drive the Qualification Inbox order, AI Follow-Up cadence intensity, dispatcher priority, and Governor risk indicators when high-score leads sit untouched.
Straight answers about how URBLD runs the business end-to-end.