The quote graveyard.
Cosmetic surgery is a long-consideration purchase. Patients spend weeks, sometimes months, researching procedures — blepharoplasty (eyelid surgery), facelifts, brow lifts, and combined facial procedures. They request quotes from multiple clinics, attend consultations, ask detailed questions, and then go quiet. Not because they're no longer interested, but because the decision takes time.
This London cosmetic surgery group — a two-surgeon practice covering a range of facial and body procedures — had a well-documented pattern: 7 in 10 of their consultation-stage leads would receive a quote and then stop responding. There was no follow-up system. If a patient didn't reply to the initial quote within a week, the conversation was effectively closed. The coordinators had neither the time nor the tool to re-engage leads at 2 weeks, 4 weeks, or 8 weeks — the windows when many surgical decisions are actually made.
The impact was measurable. Their quote-to-booking conversion rate was 7% — meaning 93 out of every 100 leads who received a quote never became a patient. Industry benchmarks for cosmetic surgery clinics with structured follow-up sit at 12–15%. The gap between 7% and 14% represented, at the clinic's volume, roughly 80 additional procedures per year.
The practice also held a backlog of 9,200 archived enquiries from the previous three years — patients who had expressed interest, requested pricing, or attended a first consultation but never proceeded. These contacts represented a significant untapped asset. Each had, at some point, been close enough to surgery to make contact.
A 90-day AI follow-up sequence that never forgets.
STOAIX designed a structured 90-day follow-up cadence for every lead that entered the pipeline — whether inbound or reactivated from the archive. The sequence was calibrated for high-consideration surgical decisions: not aggressive, but persistent and educational.
Leads who received a quote and didn't respond entered the sequence automatically. At 3 days: a soft check-in asking if they had any questions. At 10 days: a message sharing a relevant patient story (anonymised) for their procedure of interest. At 21 days: a response to commonly asked questions about recovery and results. At 45 days: a prompt offering a no-obligation second consultation. At 60 days: a limited-availability message. At 90 days: a final outreach acknowledging that decisions take time and leaving the door open.
Every message was personalised to the lead's specific procedure interest and the surgeon they had been matched with. The AI managed all responses — if a lead replied at any point in the sequence, the conversation continued dynamically, answering questions, addressing concerns, and moving toward a booking. A coordinator was looped in only when the patient was ready to confirm.
The 9,200 archived contacts were imported and segmented by procedure interest, consultation status (enquiry only vs. post-consultation), and time since last contact. Each segment received an appropriately framed reactivation message. The AI ran the entire campaign and managed every response thread in parallel.
"We always knew those leads weren't necessarily gone — they just needed more time and more touchpoints than we had capacity to provide. STOAIX gave us the system to stay in front of them without it consuming our entire week. Recovering 190 consultations from leads we'd written off was beyond what we expected."
190 recovered. Quote-to-booking doubled.
The 90-day follow-up sequence doubled the clinic's quote-to-booking conversion rate from 7% to 14% within the first three months. The primary driver was persistence: patients who needed 30, 45, or 60 days to make a decision were now receiving relevant, well-timed communication at each of those windows — rather than silence.
The reactivation campaign against 9,200 archived contacts produced 190 confirmed consultation bookings — a 2.1% conversion rate from a contact list that had been entirely inactive. For procedures averaging £5,200, this represented over £980,000 in consultation pipeline from existing data.
The practice's patient coordinators reported a 69% reduction in time spent on follow-up administration. Previously managing follow-up manually — tracking who had received quotes, who hadn't replied, who needed a second message — they now focus entirely on confirmed consultation calls and surgical planning. The AI handles all sequencing, timing, and response management.
Lead loss — the percentage of quoted leads with zero follow-up after 14 days — fell from 71% to under 9%. Every lead that enters the pipeline now receives a full 90-day engagement sequence, regardless of how many other leads arrive simultaneously. The clinic has effectively created a pipeline that never goes cold — it simply waits, patiently and systematically, for patients who are ready.