Composite case study. "Apex Roofing" is a fictional company built from aggregate ReceptionistAi customer-discovery data across storm-belt roofing operators. Names and quotes are representative, not individual.
Case study ยท Roofing

Apex Roofing Tampa โ€” $164K Recovered After Storm Season

From 70%+ of after-hours storm calls hitting voicemail, to 52 recovered bookings and 28 new reviews in 90 days. Here's how a Tampa roofing crew rebuilt their intake during hurricane season.

18 crewTampa, FL
Storm-belt operatorGAF / CertainTeed / Owens Corning
2-week setupReceptionistAi configured and live

Apex Roofing โ€” Tampa, FL

Marcus built Apex Roofing from a two-man crew in 2010. Fourteen years later, 18 workers covering the greater Tampa metro โ€” residential reroof, storm damage, new construction, the full mix.

His real problem arrived every June when hurricane season opened. A single Category 1 storm could generate 300+ inbound calls inside 48 hours. One admin, one voicemail box, and a lot of missed connections.

He was leaving $22,000 a month on the table just from calls that went unanswered after 6pm.

Four numbers Marcus was dreading

70%+
of after-hours calls during storm events hit voicemail โ€” every missed call is a competitor's new customer
22%
close rate on storm leads they did reach โ€” no systematic follow-up, leads going cold in 48 hrs
4/mo
Google reviews โ€” in a market where 50+ reviews separates the top tier from everyone else
$22K/mo
estimated revenue lost to voicemail purgatory during storm season, based on avg ticket ร— missed call volume

Four features, live in 14 days

No CRM swap. No new hire. Four configuration changes โ€” and Apex's intake system handled the next storm surge on autopilot.

๐ŸŒฉ๏ธ

Storm-Surge Emergency Triage

When a storm event triggers a call spike, ReceptionistAi answers every inbound within 5 seconds. It classifies calls: active leak or structural damage goes to the on-call line immediately. Routine reroof inspection gets booked to the next available slot โ€” no caller sits in a queue or hangs up frustrated.

๐Ÿท๏ธ

Brand Fluency (GAF ยท CertainTeed ยท Owens Corning ยท Malarkey)

Homeowners ask about specific shingle brands, warranty tiers, and storm ratings. ReceptionistAi answers those questions accurately โ€” GAF Timberline HDZ, CertainTeed Landmark Pro, OC Duration, Malarkey Legacy โ€” keeping the lead warm until an estimator can close.

๐Ÿ“‹

Quote Follow-Up Cadence

Every estimate triggers a 3-touch sequence: Day 2 check-in on storm damage urgency, Day 5 value recap with insurance claim guidance, Day 10 last-chance nudge. Close rate climbed from 22% to 34% in 90 days โ€” the leads were always there, they just needed consistent contact.

โญ

Post-Job Review Automation

Four hours after every completed job, the homeowner gets an SMS with a direct Google review link. Apex went from 4 reviews a month to 28 in the first 90 days โ€” enough to push them into the top-3 map pack for "roofing contractor Tampa" organically.

Same spreadsheet. Very different numbers.

Tracked from the metrics Marcus was already logging โ€” just with the after-hours intake finally handled.

After-hours bookings recovered
52
Storm-season after-hours jobs in 90 days
โ†‘ from near zero
Quote close rate
22% โ†’ 34%
+12 percentage points
โ†‘ +55%
Google reviews (90 days)
4 โ†’ 28
vs. 4/month baseline
โ†‘ 7ร— improvement
Estimated recovered pipeline
$164K
90-day period ยท after-hours recovery + close-rate lift (annualized)
Based on $12,500 avg ticket ร— recovered booking volume
After-hours calls to voicemail
70% โ†’ 9%
During storm events
87% reduction
"

Hurricane season used to mean two weeks of chaos โ€” phones ringing off the hook, calls going to voicemail, jobs booked by whoever answered first. Now ReceptionistAi handles the surge. My team shows up Monday morning with a full schedule instead of a pile of voicemails nobody called back. That's the difference between a good storm season and a great one.

MA
Marcus A. Owner, Apex Roofing ยท Tampa, FL ยท 18 crew ยท Fictional / Composite

* Composite case study. "Apex Roofing" is a representative profile based on aggregate ReceptionistAi customer-discovery data across storm-belt roofing operators of similar size and market. Individual results vary.

How much would ReceptionistAi recover for your roofing company?

Three sliders, one calculator. Defaults are roofing industry averages โ€” drag to your actual numbers and watch the model update.

15 calls/wk
Storm events spike this 3โ€“5ร— temporarily
$12,500
Full reroof avg โ€” adjust for repair mix
32%
Industry avg without follow-up: 20โ€“30%

After-hours recovery
$487,500
per year
Close-rate lift
$195,000
per year
Review organic uplift
$25,000
per year
Modeled annual recovered pipeline
$707,500
3-component sum ยท conservative capture rates applied

Your crew. Your storm season. Let's run the numbers.

20-minute walkthrough with a ReceptionistAi specialist. No pitch deck. We pull your market data and show you exactly what ReceptionistAi would recover for your specific operation.

Book the walkthrough โ†’ โ† Back to home

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Also see: HVAC ($186K recovered) ยท Plumbing ($167K recovered) ยท Electrical ($148K recovered) ยท Garage Door ($128K recovered) ยท Pest Control ($112K recovered)