The Problem: Aesthetic Decisions Take Time — and Questions Don't Follow Office Hours
A first-time med spa patient makes their decision on a different timeline than most service buyers. They research treatments over days or weeks, comparing options, reading before-and-afters, asking questions, and working up the confidence to book. If they land on a med spa's website with a question and can't get a fast answer, they move to the next result and research there instead.
Radiance MedSpa serves patients across the St. Louis metro area, offering injectables (Botox, Dysport, fillers), laser treatments, body contouring, and skin care services. Their front desk team was excellent — but they were also fielding the same treatment questions repeatedly throughout the day: "How long does Botox last?" "What's the difference between Botox and fillers?" "Does laser hair removal hurt?" "What's the price for a full face treatment?"
Each of these calls took 5–10 minutes. Across a typical day, first-contact FAQ calls were consuming 45–60 minutes of front desk time — time that could have gone to patient experience, scheduling, and follow-up. Worse: the calls that came in after 5pm, on weekends, and during the evening when women are actually doing this research? Those went to voicemail. Prospects moved on.
The Solution: A Chatbot That Handles the Research Phase
Radiance's AI chatbot handles the first layer of inquiry — specifically the education-and-consideration phase that precedes the booking call. A prospect who wants to know what Botox feels like, how long results last, and what units cost can get all of that information from the chatbot, at any hour.
The chatbot knows Radiance's full treatment menu, their pricing ranges, treatment duration estimates, candidacy questions (who's a good candidate for specific treatments), and what to expect during a consultation. It captures prospective patient contact info for consultation requests and queues them for follow-up.
For prospects who have already decided and just want to book, the chatbot directs them immediately to the online booking system or schedules a consultation callback. For prospects who are still in research mode, it answers their questions and plants the consultation ask before they go back to Google.
What the Chatbot Actually Does
Answers treatment education questions 24/7. "How long does Botox last?" (3–4 months). "What's the difference between Botox and fillers?" (Botox relaxes muscles; fillers add volume). "How many units do I need for forehead lines?" (approximately 10–25 units depending on the depth of lines and desired outcome). These are the questions a prospect researches before they ever contact a med spa. Answering them immediately — and accurately — positions Radiance as the most helpful and trustworthy source they found.
Handles pricing questions without friction. Most med spas bury pricing or require a consultation before disclosing it. This creates friction for prospects who just want a ballpark before they decide to inquire further. The chatbot provides Radiance's pricing ranges — per-unit Botox pricing, filler pricing by syringe, laser package ranges — in a way that's honest and moves the prospect toward booking rather than away.
Explains consultation process and removes anxiety. First-time aesthetic patients often have anxiety about what a consultation involves. "Will they pressure me into buying something?" is a common unspoken concern. The chatbot explains what the Radiance consultation involves (a no-pressure discussion of goals, a treatment recommendation with pricing, and no obligation to book that day) — which dramatically reduces no-show rates among first-time patients.
Captures evening and weekend research leads. Most aesthetic research happens in the evening — women scrolling through Instagram, seeing before-and-afters, wondering if they'd be a candidate. The chatbot captures this window. A prospect who submits a consultation inquiry at 9:30pm via the chatbot is far more likely to show up than one who meant to call and forgot.
Handles candidacy questions and contraindications upfront. "Can I get Botox while pregnant?" "Is laser hair removal safe for my skin tone?" "Can I get filler if I'm on blood thinners?" These are the questions that require an accurate, measured answer — not a voicemail. The chatbot answers them accurately (including directing patients to consult their physician when appropriate) and filters out prospects who genuinely can't be treated before they book.
The Results
After deploying the chatbot, Radiance tracked:
- Evening and weekend consultation requests increased significantly. Prospects who previously hit voicemail during peak research hours now interact with the chatbot, get their questions answered, and submit consultation requests. This previously invisible lead window opened up.
- Front desk FAQ call volume dropped. First-contact treatment education calls that previously came through the phone are now handled by the chatbot. Staff time shifted toward patient scheduling, retention calls, and in-practice experience.
- New patient quality improved. Patients who went through chatbot education arrived at consultations pre-informed — they knew the treatments they were considering, had a ballpark on pricing, and understood what the consultation would involve. Consultations became conversion conversations rather than education sessions.
- Show rate on chatbot-captured leads is high. Prospects who researched thoroughly, had their questions answered, and submitted a consultation request showed up. The education step creates commitment.
Why Med Spas Are a Natural Fit for AI Chatbots
Medical aesthetics checks every box for chatbot ROI:
- The research-to-booking window is long and needs support. An aesthetic decision is not an impulse buy. Patients research for days or weeks. A chatbot that's present throughout that research journey — answering questions, providing pricing transparency, and building trust — converts more of that research into booked consultations.
- The questions are consistent and medically appropriate to automate. General treatment education (how long, how much, what to expect) is the same for every prospect. These questions don't require a provider — they require clear, accurate information that the chatbot can deliver.
- The ticket size is significant. Full-face Botox runs $300–$600 per treatment. Filler packages run $600–$2,000+. Capturing 3–4 additional new patients per month from evening and weekend inquiries more than justifies the chatbot cost.
- The research phase happens in the evening. Med spa decisions happen when women have time to research — after work, after kids' bedtime. A chatbot that's live from 8pm–11pm captures this window that traditional front desk coverage can't.
How We Build These
Radiance's chatbot was built on Anchor Co AI's Foundation package — trained on their full treatment menu, pricing ranges, candidacy criteria, and FAQ content. Embedded on their existing website without a redesign.
The chatbot doesn't replace Radiance's providers or front desk team. It handles the research phase that was consuming front desk time and losing evening leads — so that by the time a staff member engages, the patient has already decided they want to book.
If you run a med spa or aesthetic practice and you're losing evening research leads or spending too much front desk time on treatment education, that's what the chatbot solves.