WINDOW CLEANING, AUSTIN METRO
FIRE WINDOW CLEANING.
The Problem
Fire Window Cleaning had steady work and a good reputation, but nothing behind it. There was no real brand, no website doing any selling, and no system for handling leads. Inquiries came in through calls and texts, sat in a phone for hours or days, and follow-up depended entirely on memory. Estimates and invoices were manual. The business was growing on referrals and effort alone, which meant growth had a ceiling.
What We Did
- 1.
Built the brand and website first. We developed the visual identity, then designed and built a website around one job: converting visitors into booked estimates. Clear service pages, prominent calls to action, and mobile-first design, since that is where these customers search.
- 2.
Installed a custom CRM as the operational backbone. Every lead from every source now lands in one pipeline with its source attached. Estimates, job status, and invoicing all run through the same system, so nothing lives in a text thread anymore.
- 3.
Automated the lead follow-up. When a lead comes in, the system responds within minutes, not days. Automated sequences handle the follow-up until the lead books or closes out, so no inquiry dies from silence.
- 4.
Turned on demand generation. We launched Meta ad campaigns targeting the Austin metro and ran consistent social content to keep the brand in front of homeowners between purchase cycles.
- 5.
Automated Google review generation. Every completed job triggers a review request by text while the customer is still happy, turning finished work into a compounding trust and ranking asset.
- 6.
Connected invoicing to close the loop. Completed jobs generate invoices from the same CRM, which means every dollar of revenue can be traced back to its original lead source.
The Results
- 60% revenue increase in 2 months
- 8x return on ad spend on Meta ads
- Inbound calls grew from 10 to 15 per month to 50 to 60 per month
- 60% booking rate on inbound calls
- Speed to lead dropped from 48 hours to 2 minutes