Med Spas Case Study
Med Spa Marketing Case Study: Improving Lead Quality and Consultation Follow-Up
How an aesthetics clinic could turn more of its ad-driven inquiries into booked consultations, without staff sorting every lead by hand.
This is a hypothetical scenario, not a verified client engagement. The clinic, location, and every figure on this page are illustrative and shown only to demonstrate our approach.
Client profile
- Business type
- Owner-operated medical aesthetics clinic
- Location (illustrative)
- Oakville, Ontario
- Clinic size
- Three treatment providers and two administrative staff
- Project duration (illustrative)
- 6 months
- Services
- Aesthetic consultations, skincare treatments, and selected non-surgical cosmetic services
Business context & original challenge
The clinic invested in digital advertising but didn't consistently convert inquiries into consultations.
Different services had different pricing, appointment requirements, and consultation processes. Staff manually categorized inquiries and followed up with prospective clients.
Project objectives
- Improve the quality of consultation leads.
- Route each inquiry to the right follow-up for that service.
- Reduce manual lead sorting.
- Report on leads, consultations, and bookings in one place.
Services & strategy implemented
Marketing & measurement
- Local SEO and service-specific landing pages
- Google Ads campaign organization
- Reporting on qualified leads, consultations, and bookings
Automation
- AI-assisted lead categorization based on non-sensitive booking preferences
- CRM integration
- Automated internal notifications
- Consultation follow-up tasks
Implementation timeline
How a 6-month engagement like this would typically run. This is a planning template, not a record of a real project.
Month 1
Audit and baseline
- Review website performance.
- Audit local SEO and advertising.
- Document current inquiry handling.
- Establish baseline measurements.
Month 2
Strategy and implementation
- Improve key landing pages.
- Implement tracking.
- Configure initial automation workflows.
Month 3
Launch and testing
- Launch or refine campaigns.
- Test lead routing and notifications.
- Review conversion events.
Month 4
Optimization
- Improve landing pages and campaign targeting.
- Review lead quality and follow-up performance.
- Correct workflow issues.
Month 5
Refinement
- Optimize campaigns based on available data.
- Review booking conversion performance.
- Improve operational processes.
Month 6
Evaluation
- Compare results with the established baseline.
- Document changes and limitations.
- Create recommendations for continued improvement.
Results & performance metrics
- Illustrative sample data
+42%
Qualified consultation leads
- Illustrative sample data
−24%
Cost per qualified lead
- Illustrative sample data
+11 pts
Lead-to-consultation conversion rate
percentage points
- Illustrative sample data
−35%
Manual lead handling time
Hypothetical figures for demonstration — not measured client results. “pts” means percentage points: an absolute change in a rate (for example, 20% → 32% is +12 pts). Percentages without “pts” are relative changes.
Analytics
Qualified consultation leads
View the data as a table
| Period | Qualified consultation leads |
|---|---|
| Month 1 | 31 |
| Month 2 | 35 |
| Month 3 | 39 |
| Month 4 | 42 |
| Month 5 | 44 |
| Month 6 | 44 |
Service-specific landing pages attract better-matched leads, and categorizing inquiries by booking preference gets each one to the right follow-up faster. Reporting across leads, consultations, and bookings shows which services and campaigns earn their budget.
Marketing & automation workflow
What happens automatically between a patient reaching out and a booked appointment.
Website inquiry or missed call
A prospective patient fills in a form, or a call goes unanswered.
Inquiry captured
Their contact details and the service they asked about are logged.
Automated acknowledgment
They get a prompt reply confirming the clinic will be in touch.
Staff notified
The right team member is alerted, based on the service requested.
Follow-up task created
A reminder is set so no inquiry is left waiting.
Booking status updated
Booked, pending, or not booked — every inquiry has a status.
Performance report updated
The monthly report shows which channels lead to bookings.
- Automation supports administrative work and staff follow-up only. It never diagnoses, decides whether a treatment is suitable, or gives clinical advice — those decisions stay with your clinicians.
- Messages go only to people who asked to be contacted, and respect their communication preferences.
- No health information is sent to AI tools or advertising platforms, and these demonstrations use no patient data.
Project observations
Client testimonial pending approval.
- Lead categorization uses only non-sensitive booking preferences, such as service interest and preferred times — never health details.
- Service-specific landing pages explain consultation requirements before the first conversation.
- Marketing copy makes no promises about treatment outcomes; results vary from person to person.
Key takeaways
- Different services need different follow-up; one generic sequence underserves all of them.
- Keep health information out of ad platforms and AI tools — categorize by preferences, not conditions.
- Measure consultations booked, not just leads captured.
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