• 🦷 Dental / Healthcare · Speed-to-Lead

Nova Dental Group: New Enquiries Answered in Under 90 Seconds

Nova Dental Group was running paid campaigns for new patient enquiries, but reception could not always respond instantly. Some leads were coming in during lunch breaks, consult blocks and after-hours windows. By the time the team replied, the patient had already booked elsewhere. Rude, but very internet.

Jibba Jabba built a speed-to-lead AI bot that replied quickly, answered common questions and helped move interested people towards booking.

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  • Example Conversation Flow
  • Hi Mia, thanks for reaching out to Nova Dental Group. Are you looking to book a general check-up, emergency appointment or a cosmetic consultation?
  • Cosmetic consultation.
  • Great, we can help with that. Are you mainly interested in whitening, veneers or discussing options?
  • Veneers probably.
  • Thanks. I can help organise the next step. Would you prefer a call from the team or to choose a consultation time online?
first response target
< sec
new enquiry coverage
/ 7
extra reception staff needed
$
The Revenue Leak

The clinic did not have a lead-generation problem. It had a timing problem. Paid leads arrived, but response speed varied depending on how busy the front desk was.

  • Reception was already managing phones, patients and bookings.
  • Facebook and Google enquiries needed a fast first response.
  • Common questions slowed the path to booking.
The System Built

The clinic did not have a lead-generation problem. It had a timing problem. Paid leads arrived, but response speed varied depending on how busy the front desk was.

1

New lead enters from ad or website form.

2

AI sends a helpful first reply in under 90 seconds.

3

Patient intent, service type and urgency are captured.

4

Hot enquiries are routed to booking or team follow-up.

 
The Result

The clinic had a working example of speed-to-lead automation that made new patients feel acknowledged quickly, even when the team was busy. The first-response experience became more consistent and less dependent on front-desk availability.

Why It Worked

Healthcare enquiries can be sensitive, so the system stayed helpful, simple and low-pressure. The AI did not try to diagnose or over-answer clinical questions. It did the smart commercial job: respond, qualify and guide the person to the next step.

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