Put every lead with the right rep

AI lead scoring ranks every incoming lead by how likely it is to become a sold job, so your team works the best opportunities first. Craft builds the score from three sources: what the homeowner actually said on the first call, property and consumer data, and the closed outcomes of similar leads in your CRM.

Demographic models rank a lead by how much the household resembles past buyers. Craft adds the strongest signal available: first-party call behavior. Financing questions, urgency, project scope, and who was on the phone are heard on the first call, joined with consumer and property data, and scored in real time. Closed outcomes from your CRM confirm which signals actually predict a sold job for your company.

Yes. Craft trains the model on your own calls, your market, and your closed jobs, and it retrains as new outcomes arrive. Two companies selling the same product in the same city end up with different models, because their reps, lead sources, and customers are different.

Yes. Craft weighs geography, capacity, and each rep’s historical win rate on similar jobs, then books the appointment with the rep most likely to win it. When a higher-value lead appears, Craft can reassign and reschedule the displaced appointment automatically.

Yes. Craft checks real availability while the homeowner is still on the line, prioritizes same-day and high-value slots, and books directly into your calendar. Confirmations, reminders, and rescheduling are handled automatically.

Craft syncs scores, assignments, and appointments to ServiceTitan, Salesforce, LeadPerfection, JobNimbus, MarketSharp, and 20+ other systems. Closed outcomes flow back from the CRM so the scoring model keeps learning from your actual results.