Neural Automate

Physiotherapy Case Study

Physiotherapy Marketing Case Study: Building a More Consistent Patient Inquiry Pipeline

How a referral-reliant clinic could build a steadier flow of online inquiries for initial assessments — and see which channels produce them.

Illustrative scenario

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.

Physiotherapist assessing a patient's wrist during a treatment session

Client profile

Business type
Multidisciplinary physiotherapy clinic
Location (illustrative)
Etobicoke, Toronto
Clinic size
Five practitioners and two reception staff
Project duration (illustrative)
6 months
Services
Sports rehabilitation, musculoskeletal physiotherapy, post-operative rehabilitation, and mobility support

Business context & original challenge

The clinic relied on referrals but wanted more consistent online inquiries.

Its service pages were broad, its booking journey needed improvement, and the team lacked reliable reporting on which marketing channels generated initial assessments.

Project objectives

  • Build a steady source of online inquiries alongside referrals.
  • Rank for location-specific searches such as sports rehab and post-operative physiotherapy.
  • Simplify the path from service page to assessment request.
  • Report which channels produce initial assessments.

Services & strategy implemented

Marketing & measurement

  • Physiotherapy SEO
  • Location-specific service pages
  • Google Ads and landing page optimization
  • Conversion tracking for assessment requests and confirmed bookings

Automation

  • Automated inquiry acknowledgments
  • Reception follow-up reminders

Implementation timeline

How a 6-month engagement like this would typically run. This is a planning template, not a record of a real project.

  1. Month 1

    Audit and baseline

    • Review website performance.
    • Audit local SEO and advertising.
    • Document current inquiry handling.
    • Establish baseline measurements.
  2. Month 2

    Strategy and implementation

    • Improve key landing pages.
    • Implement tracking.
    • Configure initial automation workflows.
  3. Month 3

    Launch and testing

    • Launch or refine campaigns.
    • Test lead routing and notifications.
    • Review conversion events.
  4. Month 4

    Optimization

    • Improve landing pages and campaign targeting.
    • Review lead quality and follow-up performance.
    • Correct workflow issues.
  5. Month 5

    Refinement

    • Optimize campaigns based on available data.
    • Review booking conversion performance.
    • Improve operational processes.
  6. Month 6

    Evaluation

    • Compare results with the established baseline.
    • Document changes and limitations.
    • Create recommendations for continued improvement.

Results & performance metrics

  • Illustrative sample data

    +34%

    Qualified inquiries

  • Illustrative sample data

    −18%

    Cost per qualified inquiry

  • Illustrative sample data

    +26%

    Initial assessment bookings

  • Illustrative sample data

    −25%

    Manual follow-up workload

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

Monthly Physiotherapy Assessment Bookings
Illustrative sample data

Assessment bookings

View the data as a table
Monthly Physiotherapy Assessment Bookings
PeriodAssessment bookings
Baseline38
Month 242
Month 345
Month 448
Month 547
Month 648

The proposed strategy improves the path from local search discovery to assessment requests and provides better visibility into the relationship between marketing activity and bookings.

Marketing & automation workflow

What happens automatically between a patient reaching out and a booked appointment.

  1. Website inquiry or missed call

    A prospective patient fills in a form, or a call goes unanswered.

  2. Inquiry captured

    Their contact details and the service they asked about are logged.

  3. Automated acknowledgment

    They get a prompt reply confirming the clinic will be in touch.

  4. Staff notified

    The right team member is alerted, based on the service requested.

  5. Follow-up task created

    A reminder is set so no inquiry is left waiting.

  6. Booking status updated

    Booked, pending, or not booked — every inquiry has a status.

  7. 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.

  • Condition- and location-specific pages, such as sports rehab in a named neighborhood, match how people actually search for physiotherapy.
  • Separating assessment requests from confirmed bookings in reporting shows where prospective patients drop out.
  • Reception reminders keep follow-up consistent on busy days without adding a new system for staff to learn.

Key takeaways

  • Referrals and online search work best together — one doesn't replace the other.
  • Broad service pages rarely rank; specific ones are far more likely to.
  • Measure confirmed assessments, not just form submissions.

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