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Case Study 01

WhatsApp Booking Engine

We’ve implemented our dynamic WhatsApp Booking Engine across 12 service-based businesses. The goal was simple: remove friction, reduce manual typing, and turn clicks into immediate conversations.

Client identities are hidden due to NDAs, but the flows, technical implementation, and outcomes demonstrated below are live and real.

12Live Deployments
100%Friction Reduction
↑ 3xLead Velocity

For service businesses—salons, clinics, consultants—the gap between a user visiting a website and actually booking a slot is often where the sale is lost. Traditional forms feel like work. Redirects feel like abandonment.

We engineered a solution that meets the user where they already are: WhatsApp. But rather than a generic "Hello", we built a context-aware engine that pre-populates the conversation based on the user's intent.

Client: Premium Dental Clinic
The Friction
  • Long booking forms (7+ fields)
  • Redirects to slow 3rd party calendar
  • High drop-off on mobile devices
  • Receptionist had to manually chase leads
The Solution
  • One-tap WhatsApp Entry: No forms.
  • Pre-written Context: "Hi, I'm interested in Invisalign pricing..."
  • Instant Bot Handoff: Immediate auto-reply with brochure.
  • Zero Typing Required: User just hits 'Send'.

The Outcome

Lead clarity improved instantly. The front-desk team no longer guesses what a client wants; the message comes pre-tagged with the specific service interest.

Client: Luxury Auto Detailing
The Friction
  • Generic "Contact Us" button
  • Low-context inquiries ("Hi", "Details?")
  • Back-and-forth required to qualify user
  • User forgets to reply after 10 mins
The Solution
  • Specific Intent Buttons: "Book Ceramic Coating" vs "Book Wash"
  • Dynamic Variables: Engine detects user location/page.
  • Clear Conversation Starts: Removes social anxiety of what to say.

The Outcome

Traffic-to-conversation flow smoothed out. We saw faster engagement times because users didn't have to think about how to phrase their request.