Case study · Medspa

How a Bozeman boutique medspa turned after-hours DM consults into booked visits in the first 90 days

First 90 days: 22 booked consultations from after-hours inquiries, a 9-second median first reply, on the $850 setup · $275/mo Operate tier.

Replies within one business day. No deck, no discovery call tax.

Before

What after-hours used to look like

The medspa engagement started from the same baseline — a missed-call problem that compounds after 6 p.m.

  • ✕Monday-morning inbox triage starts at 9 a.m. — by then the Sunday-night tox / filler / laser DMs have been answered by the studio two towns over.
  • ✕Front desk gets pinged for every unqualified "how much is Botox?" web form, so cosmetic consults sit behind price shoppers nobody intends to book.
  • ✕A 10 p.m. laser inquiry on Instagram lands in a DM nobody is logged into; the shopper cools overnight and books the Groupon clinic down the road.
  • ✕Consult requests get routed to the injector on shift, who spends the morning calling voicemails instead of treating the patients already on the schedule.
  • ✕No one is tracking which after-hours inquiry became a booked consult — the owner finds out at month-end from the Mangomint ledger, never from the front desk.

After

The AI workflow we installed

Three connected steps, one onboarding — wired into the medspa integration stack the business already pays for.

  1. 01

    AI chatbot

    A 10 p.m. Instagram DM or web chat about tox, filler, or laser lands. The AI greets with consent and an AI-voice disclosure in the first utterance, captures the treatment intent, and stays on the line long enough to qualify before the shopper closes the tab.

    24/7 capture
  2. 02

    Email responder

    The qualified lead moves into the email responder — confirmation fires inside sixty seconds with the visit type, the soonest injector slot in Mangomint / Boulevard, and the pre-visit intake forms link so the shopper is anchored before they cool off.

    Inbound warm
  3. 03

    Lead qualifier

    Branches treatment intent (tox / filler / laser / body / med-weight), captures budget ceiling and contraindications, and routes only threshold-crossing consults to a human on OpenPhone. Price shoppers and tire-kickers stay in the AI lane.

    Threshold hand-off

Outcome

What the first 90 days look like

The numbers the Operate-tier engagement is sized against — each one tied to a writable artefact in the medspa integration stack.

Booked consultations from after-hours inquiries

22

across the first 90 days, vs. ~5 baseline

Triage time cut on Monday-morning inbox

92%

front desk stopped triaging DMs, started triaging bookings

Qualified consults surfaced direct to the owner

11

routed to OpenPhone within the first month

Start the conversation

Want this on your medspa's Mangomint board next quarter?

Send the booking system you run (Mangomint, Boulevard, or whatever it is), the dispatch hours your front desk covers, and how many after-hours consult DMs your team saw last month. We come back with a one-page quote — the workflow, the wiring list, the price per booked consult, and the 30-day review clause. Reply within one business day. The audit is free.