Romano’s Appliance Repair is a skilled solo-to-small operation that was buried in voicemails and phone tag, with no efficient way for customers to book a service window.
Pain points
The problems they were up against.
Endless phone tag
Booking every job by phone ate hours the owner could spend repairing.
No online booking
Customers couldn’t self-schedule, so leads dropped off after hours.
Under-the-radar online
The business didn’t rank well for local appliance-repair searches.
Reputation not compounding
Happy customers weren’t being converted into public reviews.
How we fixed it
What we built to turn it around.
01
Clean, fast website
A simple, credible site focused on the one action that matters: booking.
02
Self-serve scheduling
Customers pick their own service window without a single phone call.
03
Automated reviews
Post-repair review requests keep the reputation — and rankings — climbing.
04
Local SEO
Optimized for brand and appliance-specific repair searches in the service area.
Web DesignOnline BookingReviewsLocal SEO
What we built
A simple booking flow and review engine that fills the daily schedule.
Web Design
Online Booking
Reviews
Local SEO
What we’re doing now
The ongoing partnership.
Managing the online booking flow and reminders
Running the automated review engine
Improving local rankings for appliance-repair terms
Monthly reporting on bookings and time saved
Primary use case
Self-serve service scheduling
A simple booking flow and review engine that fills the daily schedule.
The plan ahead
Where we’re taking them next.
Growth is a system, not a one-off. Here’s the roadmap we’re executing together.
Phase 1
Brand-specific pages
Landing pages per major appliance brand to capture targeted searches.
Phase 2
Paid search
Add Google Ads for high-intent repair keywords.
Phase 3
Maintenance offers
Introduce tune-up packages to drive repeat business.
“Customers book a service window online now instead of leaving voicemails, so I spend my time fixing appliances, not playing phone tag. Review requests go out automatically after each job. DataDrivenHQ set it up and it just runs.”