Lead Qualification

Qualify Medspa Callers by Service Interest, Skin Type, and Readiness to Book

AI bot qualifies incoming medspa calls by asking about treatment goals, skin concerns, previous experience, and availability. Returns structured lead data so your team prioritizes high-intent clients.

Ask targeted questions about cosmetic goals, skin type, and treatment history
Determine if caller is exploring, comparing prices, or ready to book now
Identify which providers or services match the caller's needs
Capture package interest and financing questions
Flag return clients, referrals, and VIP requests for priority handling
Provide staff a lead score and action plan before first contact

How it pays back

Front-Load Qualification, Not Gatekeeping

AI gathers intent and preferences on the call, not a form. Your team knows who's ready to book a Botox consultation vs. researching filler options. No wasted follow-ups on tire-kickers.

Match Caller Needs to Right Provider

New client asks about tear trough fillers? AI notes it and books the expert who specializes in that area. Callers feel heard; staff book the right appointment first time.

Faster Consultation Conversion

Caller already answered half your intake questions. Consultation time focuses on results, not background gathering. Callers book feeling they've been properly vetted and understood.

Actionable Lead Data

Every incoming call returns service interest, skin profile, and booking readiness. Staff can segment follow-ups—high intent gets a call today, exploratory gets educational content.

Service Interest Captured

Botox, fillers, laser, facials, wellness—every treatment preference recorded

Skin and Concern Profile

Skin type, concerns, sensitivities, and treatment history collected during call

Intent and Readiness Scored

AI identifies which callers are booking now vs. exploring options

Provider Match Recommended

Appointments routed to the provider or specialist best suited to caller's goals

Frequently asked questions

How does the AI ask about medspa services without sounding like a questionnaire?

It converses naturally. A caller mentions wanting to look refreshed, and AI asks follow-up questions about specific areas—eyes, lips, lines. It feels like a consultation, not a form.

What if the caller doesn't know what they want?

AI asks about skin concerns and goals, then suggests services that match. Many first-time callers don't know Botox vs. filler vs. microneedling—AI educates and guides without pushing.

Can the AI detect if a caller is price shopping vs. ready to book?

Yes. If they ask about pricing multiple times or compare centers, AI notes it as exploratory. If they ask about availability and next steps, it's flagged as high intent for your team to prioritize.

Do return clients get different treatment?

Yes. If the caller's phone number is in your system, AI recognizes them, asks about their previous service, and offers to rebook or discuss new treatments. VIP clients can be flagged for priority scheduling.

What qualification data ends up in the EMR?

Service interests, skin type notes, and previous treatment history are returned as structured intake data for your staff to review and file. Appointment details (date, time, provider) sync automatically to the EMR.

Can the AI handle financing or package questions during qualification?

Yes. It can explain packages, financing options, and membership discounts. If a caller has complex financing needs, the call is flagged for your billing team to follow up.