Titan Restoration: Capturing Storm Demand (Illustrative Example)
Titan Restoration is an illustrative storm-restoration roofing company used to show how RooferFuel.ai is designed to work. It is presented as an example scenario, not a verified client engagement. Any company names, numbers, and quotes are illustrative until authorized client data is available.
The challenge
- Storm surges produced more inbound calls than the team could answer, especially after hours and on weekends.
- Web leads sat for hours before first contact, so competitors often reached the homeowner first.
- No consistent follow-up meant workable leads went cold after one or two attempts.
- Owners couldn't tell which leads were real opportunities versus duplicates or out-of-area requests.
What was deployed
- 24/7 AI answering with missed-call text-back to capture every storm call.
- Instant speed-to-lead auto-response on all web and ad leads.
- Garbage Lead Killer™ System qualification to triage surge volume by workability.
- Multi-channel follow-up and rebooking sequences for no-shows.
- CRM sync with lead-source and UTM tracking for clean attribution.
Metrics
| Metric | Before | After | Evidence |
|---|---|---|---|
| Median first-response time | 3+ hours | Under 5 minutes (target) | Modeled target |
| After-hours calls answered | Mostly missed | Answered 24/7 | Designed capability |
| Lead-to-appointment rate | Baseline | Higher (estimated) | Modeled estimate |
| No-show rebooking | Manual / inconsistent | Automated | Designed capability |
What was measured
In a real engagement, RooferFuel.ai measures median first-response time and after-hours answer rate directly from platform logs. In this illustrative example, those figures are shown as design targets rather than recorded results.
What was estimated
The lead-to-appointment improvement is a modeled estimate based on the relationship between faster response and higher booking rates. It is not a recorded result for this example company.
What was verified
Nothing on this page is verified client data. Titan Restoration is an illustrative example. Verified results are only published after authorized access to a real client's CRM, with date, source, and sample size disclosed.
Authorized client quote will appear here once a real, permissioned testimonial is available. No testimonial is fabricated.
RooferFuel.ai is designed to help storm-restoration roofers capture more surge demand by answering every call and responding instantly.
Methodology
This example models the designed workflow — 24/7 answering, instant response, qualification, and follow-up — and frames outcomes as targets and estimates, not recorded results.
Assumptions
- Figures are design targets and modeled estimates, not verified client data.
- Storm activity and results vary and are outside RooferFuel.ai's control.
Titan Restoration is an illustrative example. Nothing here is a guarantee of leads, appointments, or revenue. Verified results are published only with authorized client data.
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