Beauty and hair care · Specialist stylist discovery and booking marketplace
Fervor: a booking platform that matches clients to stylists by hair type
Fervor (client: Fer Vor) helps people with textured or specialist hair find stylists who are qualified to work with it. We built a discovery and booking platform that matches clients on hair type and certifications, not distance. It listed 3,400 stylists with verified specialisms in year one, and 78% of clients rebook with the same stylist within four months. We built it in 7 weeks.
- Client
- Fer Vor
- Industry
- Beauty and hair care
- Built
- Web app
- Timeframe
- 7 weeks
What changed
- 3,400 stylistsListed with verified specialisms in the first year.
- Weeks to under a dayTime for clients with textured or specialist hair to find a suitable stylist.
- 6% no-showsBooking no-show rate, supported by deposits and consultation matching.
- 78% rebookClients who book the same stylist again within four months.
- 11 new clients/monthAdded by the average stylist through the platform.
- 7 weeksTime to build.
Results as reported for this build after launch.
The challenge
Clients with specialist hair care needs had a hard time finding qualified stylists, and the stylists who did that work had little online visibility to reach new clients.
For many people, finding a stylist who can really handle their hair type means asking around, scrolling Instagram and sitting through at least one appointment that goes wrong.
General booking apps add to the problem. They rank salons by distance and price, file everything under haircut, and tell a client nothing about whether the stylist has ever worked with their texture. So a client tries three salons, has two bad experiences and stops trusting the whole category.
Specialist stylists faced the reverse problem. Their skill was the reason clients would cross a city to see them, yet no channel made that skill findable. They depended on word of mouth and a personal Instagram, which limits how far a business can grow.
What we built
We built a discovery and booking platform centred on stylist portfolios and clear service details. Clients are matched to qualified specialists through a recommendation flow they can trust, and stylists reach the clients who need their specific skills.
Specialism-first stylist profiles
Profiles lead with the hair types and textures a stylist works with and the techniques they are certified in. Portfolios are tagged by hair type, so clients can see work on hair like their own.
Intake-based client matching
A short intake covers texture, density, current condition, chemical history and the outcome the client wants. Matches come from portfolio and certification fit, not proximity.
Separate consultation booking
Consultations are booked as their own appointment, because for specialist work they are a distinct visit, not an add-on.
Deposits for long appointments
Deposit handling protects the long slots that specialist services need.
Aftercare and product recommendations
Clients receive aftercare instructions after the appointment, along with recommendations for the products that were used.
Hair-type-aware reviews
Every review records the reviewer's hair type, so a rating carries context.
Screens and design system
The result
The 78% rebooking rate shows the matching works. Once a client finds a stylist who suits their hair, they stop shopping around, which is why the discovery problem was worth solving properly.
Stylists have used demand data from the platform to justify narrowing their specialism instead of broadening it, the opposite of the usual industry advice on building a client book.
