InstantFixLead generation case study — mobile car repair
One man quit his job to fix cars. Maeda, our whitelabel lead engine (ads, qualifying funnel, apps and a response team), handled everything else. Twelve months of verified data below.
Engine
Both — compounding
Business
Mobile car repairs
Market
Sydney metro
Data window
12 months, verified
The brief
The founder had just quit his job to run a mobile repair business. He wanted to fix cars and leave the ads, quotes and lead follow-up to someone else. So we built and operated the lead-to-cash system around him.
The starting point
One operator. No system.
01
Inconsistent lead flow
Some weeks full, some weeks empty. Revenue was impossible to plan.
02
Unknown lead quality
No way to tell a real, workable job from a tyre-kicker before sinking time into it.
03
Owner-dependent
One person quoting, scheduling, repairing and chasing payment. Growth capped at his hours.
04
No operating system
No funnel, no qualification, no follow-up. Every lead lived or died on inbox discipline.
The engine — built and operated by Kara
Click to closed sale.
Maeda is our lead platform, whitelabelled to his brand and run by our team. Every stage feeds the next, and outcomes flow back to Google and Meta so the ads learn what a real buyer looks like.
01 — Ads
Intent-led search
Google Ads on high-intent searches ("dent repair Sydney", "mobile scratch repair near me"), with spend scaled to what he could service.
02 — Capture
Trust-led landing page
Conversion-focused and review-heavy, with photo-upload quote requests. It converted at 23% and peaked at 25%.
03 — Qualify
Two qualifying pages
A feasibility check (location, workspace, power, weather) filters unworkable jobs; a nurture page anchors price and kills objections. Every answer writes a tag.
04 — Route
Technician mobile app
Lead and photos routed straight to his phone on a response clock, so he quotes in-app between jobs.
05 — Respond
Kara conversion team
Automated first contact plus our human team working every quote to a booking, so nothing goes cold.
06 — Learn
The loop closes
Booked outcomes flow back into Google and Meta monthly. Cost per lead fell 61% while volume scaled.
The numbers
Verified Google Ads data — Apr 2025 to Mar 2026
2,918
Qualified leads — 243/mo avg
A$8.24
Cost per lead — $450–$2K jobs
9.0%
CTR vs ~3–4% industry
23%
Landing page conversion
−61%
CPL: $16.38 → $6.38, while scaling
Capacity was the only constraint. When the engine produced more jobs than the business could service, we scaled spend down while the client hired, then scaled back up.
What it did for the business
From one van to a fleet.
Fully booked in 3 months
Consistent, qualified lead flow filled the calendar within one quarter: about 2 jobs a day at $450–$2,000 each.
+2 staff & vehicles by month 6
He grew from a one-person operation to a small mobile fleet, hiring against reliable demand.
$25K–$40K consistent monthly revenue
Revenue he can plan around, while he does the work he quit his job for.
Services in play
The same engine, pointed at your market.
Proven at $450–$2,000 per job. At higher deal values, the same lead economics get dramatically more profitable.