Case study · Health & Beauty turnaround

From enquiry chaos to an AI-run booking engine.

A health & beauty business had a strong brand, real demand and loyal clients — but the front of the business was leaking. This is how the fix became the foundation for Shopfront_OS. Built in 14 days. Measured over 30 days.

30-day result
742k
People reached
1,886
Enquiries
~R31
Per enquiry
104
New clients
supamanpro.com
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742k
People reached
1,886
Enquiries (30 days)
~R31
Per enquiry
104
New WhatsApp clients
205
Google reviews
24/7
Any-language response
Quiet, dimly lit salon interior before the turnaround
The starting point

A strong brand,
a leaking front desk.

Real demand and loyal clients — but the moment an enquiry arrived, the business couldn't reliably catch it. It looked like a marketing problem. It was really a front-of-shop problem.

  • !Lead flow had collapsed and bookings were still manual
  • !Customer conversations were hard to track
  • !Follow-up depended entirely on who was available
  • !The owner had limited visibility into leads, spend and results
The fix

One connected
booking engine.

Not more noise — a system. Every enquiry made easier to capture, guide, book, follow up and measure. Built in 14 days, measured over 30.

  • Brand, spend & channel audit
  • New website & booking flow
  • AI concierge + CRM capture & campaign routing
  • Multilingual response & review automation
  • Live reporting & ongoing optimisation
1,886
Enquiries in 30 days
104
New clients
205
Google reviews
Bright, energetic abstract light representing the live booking engine
Before → after

Same business, same team — a completely different operation.

MetricBeforeWith SupamanPro
Ad enquiries
Collapsed to ~zero
1,886 in 30 days
Response time
Hours, by hand
Seconds, automated
Availability
Owner only, limited hours
24/7, every channel
Booking channels
Phone & WhatsApp (manual)
4 channels, auto-answered
Lead capture
Leaky inbox
~100% captured & routed
Languages
English only
Any language, native
Visibility
No reporting
Live dashboard
What powers the numbers

The engine behind Shopfront_OS.

AI concierge, 24/7

Answers, books & remembers clients in any language across WhatsApp, Messenger, Instagram & web — the MiniMe engine.

Always-on paid ads

Meta click-to-WhatsApp campaigns, budget-capped, sending booking-ready enquiries straight into chat.

Bilingual booking site

EN/TH website with online booking, payments, memberships & gift vouchers, plus a live marketing dashboard.

Found everywhere

Google Business for both branches, local-SEO, the Fresha marketplace and GA4 analytics.

Never miss a lead

Every enquiry auto-summarised and pushed reliably to the owner, across all channels.

Reviews on autopilot

Automated review requests lifted the business to 205 Google reviews — feeding "near me" ranking for free.

Why the numbers keep climbing

The engine compounds — more growth without more ad spend.

Out-convert, not out-spend

Booking friction is fixed first, so every rand of ad spend turns into more actual bookings.

Reviews → ranking

Automated review requests lift Google rank, pulling in more "near me" searches for free.

Recurring revenue

Memberships & gift vouchers add predictable, repeat income on top of one-off bookings.

A whole team, one partner

Strategy, build and management — the equivalent of a full marketing + engineering team.

The lesson: more demand is not enough if the business can't manage what happens next. A customer journey needs structure — Discover, Enquire, Book, Arrive, Return. That journey became the foundation of Shopfront_OS. Figures reflect a real 30-day window and are illustrative of the live system, not guarantees.

Your turn

See where your enquiries are being lost.