Three years of data. Zero revenue.
The clinic had been collecting enquiries for three years — Instagram DMs, website forms, WhatsApp messages, walk-in cards. By the time they called STOAIX, their CRM held 12,000 contacts. Not one had been systematically followed up. Not because the team didn't want to; because no one had the time, system, or tools to do it properly.
Every month, the owner watched money sit in a spreadsheet. Each of those 12,000 names represented someone who had expressed genuine interest in a treatment — Botox, fillers, skin resurfacing, body contouring. Some were price-sensitive and needed education. Some had been ready to book but hit a delay and never came back. Some were post-procedure patients overdue for a follow-up.
New enquiries arrived daily — and the same pattern repeated. The receptionist would respond when she could (usually hours later), answer a few questions, and if the patient didn't immediately confirm, the conversation would trail off. There was no follow-up system, no reminder workflow, no second chance.
Segmented reactivation at scale
The 12,000 archived contacts were imported into STOAIX and segmented into five groups: recent cold leads (enquired 1–3 months ago), older cold leads (4–12 months), post-procedure patients (had a treatment, no follow-up), price enquiries (asked for pricing, never booked), and consultation no-shows.
A bespoke outreach message was written for each segment. The AI agent sent personalised WhatsApp messages in a phased rollout — not a mass blast, but a drip that felt individual. Responses were handled in real time: if a patient replied, the AI continued the conversation, answered questions about specific treatments, and guided them into a booking.
In parallel, inbound enquiries were now answered within minutes by the AI — across WhatsApp, Instagram, and the website contact form — regardless of whether the receptionist was available. The AI handled pricing questions, booking requests, and pre-treatment guidance, escalating only when a query required clinical judgement.
"I had 12,000 leads sitting doing nothing. Within six weeks STOAIX had turned some of those into 240 real bookings. That's revenue I would have left on the table forever if I'd kept relying on manual follow-up."
240 bookings from dormant data.
In the first six weeks, the reactivation campaign generated 240 confirmed bookings — a 2% conversion rate across 12,000 archived contacts. For a medical aesthetic clinic where the average treatment value runs between £250 and £1,500, the return on the STOAIX investment was clear within the first month.
Inbound response times dropped from hours to under 3 minutes on average. The AI handled the majority of all incoming enquiries without human involvement — answering questions, qualifying interest, and booking appointments directly into the clinic's calendar.
The clinic's receptionist, previously stretched across calls, DMs, and the front desk simultaneously, now focuses exclusively on in-clinic patient experience. The reactivation campaign continues to run on a rolling basis — every month, new cohorts of aged leads receive an AI-driven outreach sequence, creating a perpetual revenue pipeline from data the clinic already owns.