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RoofingEarly AccessRoofing Contractor · Orlando, FL

How a Roofing Company Scaled Outbound Campaigns Without Hiring

A roofing company used AI voice agents to run outbound calling campaigns for storm damage inspections — reaching more homeowners than their team could manually.

Minutes
Campaign Setup
TCPA Compliant
Calling Hours
24/7 Inbound
Coverage
Outbound campaigns
Lead qualification
Objection handling
Appointment booking
TCPA compliance

The Problem

After severe weather events, roofing companies race to contact homeowners before competitors do. The window for storm damage inspection leads is narrow — typically days, not weeks. Manual calling teams can only reach so many people per day, and hiring temporary SDRs takes time this contractor didn't have.

What They Needed

  • High-volume outbound calling within TCPA-compliant hours
  • Roofing-specific qualification: storm damage, insurance status, timeline
  • Natural-sounding conversations that don't get immediately hung up on
  • Appointment booking for on-site inspections
  • No hiring, no training, no ramp-up time

What GetsYou Delivered

The AI agent was configured for roofing outbound campaigns:

  1. Campaign engine — imported contact lists, set calling windows, defined cadence
  2. Roofing-specific script — not a script in the traditional sense, but a dynamic conversation framework trained on roofing scenarios
  3. Objection handling — the AI navigated common pushback like "I already have a roofer" or "my roof is fine" with contextually appropriate responses
  4. TCPA compliance — calling hours enforced automatically, DNC respected, AI disclosure delivered per regulations
  5. Qualification + booking — qualified leads were scored and appointments booked directly

Early Results

During the early access pilot:

  • The contractor was able to launch campaigns within minutes of importing their contact list
  • The AI conducted qualification conversations that the team verified through call recordings
  • Objection handling performed better than expected — the AI adapted its tone when prospects were hesitant
  • All calls were automatically logged with transcripts, lead scores, and suggested next steps

> "The AI handled objections I didn't even train it on. Prospect was hesitant about pricing and it navigated perfectly."

>

> — Roofing Company Owner, Houston, TX

Why It Worked

Volume is critical in post-storm roofing sales, but volume without quality just burns through lists. The AI combines both: it can reach a large number of homeowners while having genuine qualification conversations. The emotional intelligence layer means it detects when someone is interested but hesitant — and adapts — rather than bulldozing through a script.

This case study reflects early access usage. Results may vary by market, weather events, and list quality.

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