Automated outbound calls per month
New inspections booked monthly
lower cost per completed inspection
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The problem
Manual dialing and door-to-door created a spiky pipeline, high CAC, and talent burnout
LOA Roofing’s growth model depended on humans doing the two hardest things in the business: cold prospecting and first-touch qualification immediately after weather events. SDRs rotated through dialers and canvassed neighborhoods, averaging a few hundred calls per rep per day when storms hit and far fewer during shoulder weeks.
The first-order consequence was throughput: the team couldn’t touch even a fraction of the addressable market fast enough to matter, which meant qualified inspections were won or lost before the first attempt.
The second-order effect was structural volatility. Because prospecting capacity rose and fell with human availability, booked inspections arrived in bursts—followed by idle days—driving reschedules, overtime, and inconsistent crew utilization.
The tertiary effect was economic and cultural. CAC crept upward as leadership layered more spend and more temporary labor onto the same bottleneck, while the day-to-day grind of cold outreach increased churn in a role the company struggled to hire and retain, diverting managers from revenue to recruiting.
The solution
A capacity-aware, AI-led outbound engine that dials 50,000 prospects monthly and books inspections end-to-end
Synthesys replaced manual prospecting with a fully automated, telecom-grade voice layer built to run at scale. LOA’s prioritized lists—storm-path zones, aged inquiries, referral networks, and permit-adjacent addresses—were unified behind a single orchestration system.
The AI engaged each prospect in natural conversation, verified roof age and condition signals, captured insurance status and contact preferences, and—on qualification—scheduled inspections directly to the right calendar based on real-time crew capacity, travel windows, and service area rules. If a call didn’t connect, the engine executed an intelligent sequence across voice and SMS, retrying at optimal times without violating DNC/TCPA constraints.
Local presence numbers increased answer rates, while objection handling and language adaptation kept conversations moving toward a booking rather than a callback. Because everything ran in LOA’s CRM, estimators received clean, structured notes; no one had to “re-qualify” the same customer twice, and there was nothing for SDRs to chase.
The results
Scale without headcount: higher conversion, lower CAC, and a steadier, more profitable field operation
Within the first quarter, Synthesys executed approximately 50,000 outbound calls per month with no additional headcount. The first-order impact was visible in the funnel: contact rate rose from 12% to 21%, and qualified conversations converted to scheduled inspections at 19%, yielding roughly 1,900 incremental bookings per month. Automated confirmations and reminders lifted show rates from 71% to 84%, and cycle time from first touch to inspection fell from 9.6 days to 3.2 days. Cost per completed inspection declined by 43% because the platform created bookings at scale without SDR staffing, overtime, or third-party call centers.
Second-order effects stabilized operations. Capacity-aware scheduling smoothed post-storm surges, keeping estimator and crew utilization in the 85–92% band even during peak weeks, while reschedules and wasted dispatch miles fell as routes were clustered by geography. Marketing ROI improved as lists that historically underperformed—older inquiries and referral trees—were reactivated with higher velocity and far lower handling costs, allowing the team to reallocate budget from canvassing and short-lived lead buys to durable, owned lists.
The tertiary effects were strategic. With prospecting uncapped by human dialing, leadership expanded service coverage into adjacent ZIP codes without adding SDRs, while managers redeployed six FTEs’ worth of time from hiring and training callers to insurer liaison work and average-ticket expansion. Forecast accuracy improved because bookings now tracked capacity in real time, enabling tighter materials planning and vendor pricing. In short, LOA swapped a fragile, people-bound top of funnel for a surge-ready growth loop: automated outreach creates qualified inspections, inspections feed faster claims and closes, and crews stay productively busy—powered end-to-end by Synthesys.
Company name
LOA Roofing
Industry
Roofing
Company size
SMB
Pain point
LOA depended on manual outbound calling and canvassing, which left thousands of potential customers untouched after storms. The sales development team was prone to burnout, pipeline volume was inconsistent, and cost per inspection climbed steadily. Scaling prospecting required more SDR headcount, making growth expensive and difficult to sustain.
Synthesys product used
AI Telecommunications Platform
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