Glossary /
Stylist commission model
Written by PEKO Team.Last updated: 2026/05/18.
How a venue splits revenue with its stylists (% of service, % of retail, hourly + tip). Determines which behaviours stylists will actually push — and therefore which loyalty mechanics will work.
Published: 2026/05/18
How a venue splits revenue with its stylists (% of service, % of retail, hourly + tip). Determines which behaviours stylists will actually push — and therefore which loyalty mechanics will work.
In the Vietnamese market, this concept interacts tightly with Zalo OA reach, VND cash/QR payment mix, and the district-cluster dynamics of competing venues. Applied properly it can move 5–15 points of 90-day cohort retention.
PEKO operationalises this concept as part of the loyalty layer that runs alongside the venue's existing booking system (Booksy, Fresha, Mindbody, KiotViet, or paper) rather than replacing it.
FAQ
Which Vietnamese verticals does stylist commission model apply to?
Best fit for barbershops, nail bars, hair salons, spas and beauty salons — verticals where rebook discipline and the guest-stylist relationship drive most of the revenue.
How long does implementation take?
With PEKO, a small venue typically goes live in 3–5 days: contact import, Zalo OA connect, basic reminder cascade switched on, then tuning over the first 2–3 weeks.
Do I need to replace my current booking system?
No. PEKO is positioned as a loyalty layer on top of existing booking systems — Booksy, Fresha, Mindbody, KiotViet or paper diaries all stay; PEKO adds retention on top.
Related terms
People also read
Term
Service menu engineering
Structuring the service list to anchor a premium tier, surface a profitable mid tier, and use a value tier for discovery. Lifts average ticket 10–18% without changing prices.
Term
Add-on conversion
Share of bookings that accept a prompted add-on (scalp massage, paraffin, hot-towel). A scripted add-on prompt at check-in converts at 25–40% in trained salons — pure margin.
Answer
AI cho nhà hàng nghĩa là gì cụ thể?
AI cho nhà hàng năm 2026 là 4 thứ vận hành thực tế: dự đoán khách sắp rời, cá nhân hoá tin nhắn win-back, gợi ý combo theo lịch sử, và phân khúc RFM tự động. Không phải chatbot hay tạo ảnh menu.