Local Appointment Generation

A local roofing contractor needed consistent lead flow without hiring expensive SDRs. We built an automated geospatial lead generation system that books qualified appointments.

A local roofing contractor was spending $4K/month on lead aggregators getting cold transfers and unqualified homeowners. They needed consistent appointment flow in their service area without the cost of full-time SDRs.

The fundamental problem: geographic lead generation requires precision. Too broad and you waste time on prospects outside service range. Too narrow and you miss viable customers. Manual prospecting couldn't maintain this balance at scale.

We built a geospatial automation system combining Google Maps API with Apollo.io enrichment to identify homeowners within the service radius, validate contact information, and book appointments automatically.

Technical Stack:

• Google Maps API - Geofencing and proximity search
• Apollo.io - Contact enrichment and validation
• n8n - Workflow orchestration
• PostgreSQL - Lead tracking and deduplication

The system runs daily, identifies new properties in target zip codes, enriches contact data, and automatically reaches out to book consultations.

10+ qualified appointments per week, every week. The contractor went from inconsistent lead flow to predictable pipeline, cutting lead costs by 60% while improving appointment quality.