Homeservice Marketplace
A home-services operator was matching homeowners to plumbers, electricians and cleaners by hand: Facebook messages, a shared spreadsheet, and a lot of phone tag. We built the two-sided marketplace that automates the match, the schedule and the payment, and the same demand started converting into bookings that actually completed.
Product Design + Full-Stack Build
4.0×
completed bookings per month within 90 days
What changed, charted.
Twelve months of the metric this engagement was hired to move, six before launch, six after, plus every headline KPI, before and after.
Completed bookings per month
2026| Month | bookings |
|---|---|
| Jan | 42 |
| Feb | 45 |
| Mar | 44 |
| Apr | 48 |
| May | 46 |
| Jun | 47 |
| Jul (launch) | 95 |
| Aug | 132 |
| Sep | 158 |
| Oct | 171 |
| Nov | 179 |
| Dec | 186 |
Representative sample data: the same live measurement dashboard ships with every engagement.
Before → after
- Completed bookings / month4.0×
- Before: 46. After: 186. Change: 4.0×.
- Booking completion rate+27 pts
- Before: 61%. After: 88%. Change: +27 pts.
- Time to matched provider−99%
- Before: ~1 day. After: 9 min. Change: −99%.
- Repeat booking rate+26 pts
- Before: 18%. After: 44%. Change: +26 pts.
The challenge
Every job was coordinated manually. A homeowner messaged the page, someone checked a spreadsheet for an available pro, and three separate chats tried to agree on a time. Providers no-showed with no accountability, payment happened off-platform, and nobody could tell which requests turned into finished jobs. Growth meant hiring more coordinators, not serving more customers.
What we did
Book, schedule, pay in one flow
A homeowner picks a service, sees real availability, and books in a single flow, with a vetted provider assigned automatically instead of coordinated across three chat threads.
Providers people can trust
An onboarding and verification flow gates who gets listed, and post-job ratings keep the good providers visible, so the marketplace curates quality instead of just listing everyone.
Payments and accountability on-platform
Payment, confirmations and cancellations all run through the platform, so every request is traceable end to end and a no-show finally leaves a paper trail.
The outcome
Within ninety days of launch, completed bookings were running at 4× the manual baseline, from around 46 a month to 186, while the coordination team stayed the same size. Booking completion climbed from 61% to 88%, the time from request to a matched provider fell from about a day to minutes, and repeat bookings more than doubled.
We were drowning in group chats and a spreadsheet. Now a booking books itself, the right pro shows up, and I can actually see what's happening. It feels like a company instead of a hustle.
What shipped
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