Case Study5 min

How We Saved a 4-Location Medical Practice 11 Hours Per Week

A case study on automating patient follow-ups, review requests, and rebooking sequences for a multi-location med spa and wellness chain.

DM
Danny Matulula
February 2, 2026

The situation

A 4-location med spa and wellness chain was growing faster than their operations could handle. Each location had its own front desk staff manually handling:

  • Post-visit follow-up calls
  • Google review requests
  • Rebooking reminders
  • Treatment plan follow-ups

The owner estimated 3 hours per day, per location, spent on these tasks. That's 60 hours per week of staff time across the business — on activities that could be systematized.

The real problem

The manual process wasn't just slow — it was inconsistent. Location A sent follow-ups same-day. Location C sometimes forgot entirely. Patient experience varied wildly depending on which front desk was having a good day.

Worse: only 12% of patients were rebooking at checkout. The rest were "we'll call you" — and nobody called.

What we built

Phase 1: Post-Visit Automation (Week 1)

Every patient now receives a personalized follow-up sequence triggered by their visit type:

  • Aesthetic treatments: Care instructions + before/after photo request (24 hrs)
  • Wellness visits: Treatment summary + recommended next visit (48 hrs)
  • New patients: Welcome sequence + review request (72 hrs)

All automated. All personalized. All consistent across locations.

Phase 2: Rebooking Engine (Week 2)

Instead of hoping patients rebook at checkout, the system now:

  • Sends a rebooking reminder at the clinically optimal time for their treatment
  • Includes one-tap booking with their preferred provider and location
  • Escalates to front desk only if the patient doesn't respond after 3 touches

Phase 3: Review Generation (Week 3)

The review request system:

  • Waits until the optimal post-visit window (varies by treatment type)
  • Sends via the patient's preferred channel (SMS or email)
  • Filters for sentiment before directing to Google

Results

MetricBeforeAfterChange
Weekly staff time on follow-ups60 hrs8 hrs-87%
Patient rebooking rate12%24%+100%
Google reviews/month834+325%
Follow-up consistency~60%100%Solved

The owner's summary: "I didn't realize how much was falling through the cracks until it stopped falling."


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Discussion (8)

DA
Dr. A. PatelFeb 2, 2026, 7:03 PM

This is precisely the issue we're facing across our 3 clinics. The inconsistency is what kills the patient experience. One clinic follows up perfectly, the other forgets.

MG
Monica GellerFeb 3, 2026, 4:31 PM

How did the staff react to this? I find my team is sometimes resistant to new tech because they think it'll replace them.

DM
Danny MatululaFeb 3, 2026, 8:44 PM

@Monica - Honestly, they usually love it. We frame it as 'taking the robot work off your plate so you can focus on the humans in front of you.' Front desk staff hate making 40 awkward follow-up calls a day.

SW
S. WilliamsFeb 5, 2026, 8:19 PM

Doubling the rebooking rate is massive. People just forget if you don't prompt them at the exact right moment.

KT
Kevin TranFeb 6, 2026, 8:17 PM

+325% on Google reviews is huge. Local SEO lives and dies by that.

LC
Lauren C.Feb 8, 2026, 9:18 PM

Did you use GHL for this or something medical specific like Jane/Cliniko?

MF
Michael Foster (Intellivance)Feb 9, 2026, 3:03 PM

@Lauren C. - Good question! We usually integrate entirely via API with their existing EHR (like Jane) so the staff doesn't need to learn a new software, but the actual automation and messaging runs through our custom engines.

JB
Jason B.Feb 13, 2026, 2:03 PM

Incredible case study. Just booked an assessment for our dental group.

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