Fervor: Stylist Review Platform

Hospitality

Marketplace

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CLIENT

Fer Vor

CATEGORY

Hospitality

TIMEFRAME

7 Weeks

SERVICE

Product Strategy

Development

About Project

Ethnic Hair Specialist Discovery Platform
Fervor helps users discover trusted hairstylists specializing in diverse hair types through curated reviews and personalized recommendations. The platform enables clients to browse stylist portfolios, review services, and book appointments confidently. By focusing on underserved styling specialties, Fervor improves accessibility to reliable beauty professionals. The platform supports stylists by increasing visibility and helping them reach targeted client audiences while providing users with trusted discovery tools that simplify selecting skilled professionals for specialized hair care needs.
Impact
  • 3,400 stylists listed with verified specialisms in the first year.
  • Time to find a suitable stylist from weeks to under a day for clients with textured or specialist hair needs.
  • Booking no-show rate at 6%, helped by deposits and consultation matching.
  • 78% of clients rebook with the same stylist within four months.
  • Average stylist adds 11 new clients a month through the platform.
  • Built in 7 weeks.

Challenge & Solution

Challenge

Clients with specialized hair care needs struggled to find qualified stylists, while professionals specializing in these services lacked digital visibility to reach new clients.

Solution

We built a stylist discovery and booking platform that highlights professional portfolios, improves service transparency, and connects clients with qualified specialists through trusted recommendation workflows.

Story / Origin

Finding a stylist who can genuinely work with your hair type is, for a large number of people, a process involving referrals, Instagram searches, and at least one appointment that goes badly.

General booking platforms make it worse rather than better. They list salons by proximity and price, categorise everything as a haircut, and give a client no way to know whether the person holding the scissors has ever worked with their texture. The result is a client who tries three salons, has a bad experience at two, and stops trusting the category.

Stylists with genuine specialist skill had the mirror-image problem. Their expertise was the reason clients would travel across a city for them, and there was no channel that made it discoverable. They were relying on word of mouth and a personal Instagram, which caps how far a practice can grow.

End Results

The 78% rebooking rate is what tells you the matching works. A client who finds the right stylist for their hair does not shop around again, which is exactly why the discovery problem was worth solving properly.

Stylists have used platform demand data to justify specialising further rather than broadening, which runs against how the industry usually advises people to build a book.

Features Buit

Stylist profiles built around specialism rather than service list: hair type and texture worked with, techniques certified in, and a portfolio tagged by hair type so a client can see work on hair like theirs.

Client matching runs on a short intake covering texture, density, current condition, chemical history and desired outcome, and returns stylists whose portfolio and certifications fit rather than whoever is nearest.

Consultation booking is separate from service booking, because for specialist work the consultation is genuinely a distinct appointment and treating it as an add-on was part of the problem.

Beyond that: deposit handling to protect long appointment slots, aftercare instructions sent post-appointment, product recommendations tied to what was used, and reviews that record hair type so a rating carries context.

Typography & Color

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