[ Case study ]
Implant leads — high-value, high-anxiety purchases — arrived by form and went stale: consultations were booked by phone during limited hours, follow-up was manual, and the front desk had no visibility into who had gone cold.
CLIENT a dental implant clinic — FOCUS Build the funnel around the patient's decision
Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.
Implant treatment is a considered, expensive, high-anxiety decision, and this clinic does it well: surgical days twice a week inside a general practice, a treatment coordinator who is the implant journey's entire human layer, and a reputation that referrals keep feeding. Enquiries arrived three ways — a website form into a shared inbox, a phone line answered between patients, and the occasional walk-in — and none of the three remembered a name for longer than the day it arrived. Prospects, meanwhile, researched quietly for weeks before ever speaking to anyone.
Implant leads — high-value, high-anxiety purchases — arrived by form and went stale: consultations were booked by phone during limited hours, follow-up was manual, and the front desk had no visibility into who had gone cold.
Build the funnel around the patient's decision instead of the clinic's: a page sequence that answers the questions implant patients actually ask — cost ranges, process, recovery — with a booking step that feels like a conversation rather than a sales slot. Submissions and bookings write into a pipeline whose stages mirror the treatment coordinator's own language, so nobody is invisible. Reminders and nurture run automatically with quiet hours and ethics-reviewed copy, and anything clinical routes to the coordinator by design — automation does the remembering, never the advising.
Just as important is what we ruled out, and why:
The page sequence answers the questions implant patients actually ask — cost ranges, process, recovery — with a booking step that feels like a conversation, not a sales slot.
Form submissions and bookings write into a pipeline with stages the treatment coordinator actually uses, so nobody is invisible.
Reminder and nurture sequences run automatically with quiet hours; anything sensitive routes to the coordinator by design.
Delivered by the growth pod — strategist + automation specialist over 5 weeks, with working increments reviewed with the client every week.
Obstacle
The clinic's practice-management software would not sync with the new booking calendar, which risked consultations being double-booked against already-committed surgical days.
Handled: We dropped the sync and built slot availability around the surgical schedule manually, with a ten-minute weekly review the coordinator runs — low-tech, but it has held every month since.
Obstacle
The first nurture draft read like marketing — 'transform your smile' language the coordinator refused to send under the clinic's name.
Handled: She rewrote the sequences in her own words across two working sessions; the automation now sends copy she recognizes as hers, which is precisely why she trusts it.
Obstacle
An early booking-confirmation message paraphrased recovery guidance in ways that drifted from the surgeon's approved patient information, which the practice manager flagged immediately.
Handled: We stripped clinical wording from automated messages entirely and linked the clinic's own leaflets instead — automated messages inform and remind, but only human, approved voices advise.
The headline: consultations booked per month, measured over the three months after launch versus the three before — 18 → 41, read from Calendar plus pipeline records. A second check: median time from form to first automated response at < 5 min.
The coordinator's day has gaps in it again — follow-up that used to eat the space between patients now happens on schedule without her carrying it in her head. Enquiries no longer die of silence; the ones who are not ready stay in a conversation they can leave politely. The Monday review shows this month's consultations by stage, and the front desk stopped treating an implant enquiry as an interruption, because the system treats it as a patient already in progress.
The result was read from Calendar plus pipeline records against the pre-engagement baseline over the stated window, with a guardrail check on median time from form to first automated response. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have involved the treatment coordinator in writing the nurture copy — the first draft sounded like marketing, and she rewrote it in her own voice.
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