Real clinics. Real numbers. See the work before you talk to us.
What the work is actually worth, made visible in plain numbers. The case studies below are anonymised from live client engagements.
Client results
Marketing that runs itself — and courses that finish.
Strong inbound demand and high-value treatment courses, but marketing was ad-hoc, consent was risky to act on by hand, and prepaid courses stalled half-finished — revenue sitting unredeemed and patients drifting after a single visit.
Captured marketing consent into one source of truth synced to the email platform; segmented patients by treatment, spend and lifecycle; automated post-treatment aftercare; tracked prepaid course usage with nudges at 50% / 25% / expiry; re-engaged lapsed patients based on what they'd actually had done.
Memberships that stop slipping — operations that run themselves.
A growing membership base tracked by hand across spreadsheets and memory; renewals lapsing unnoticed, invoices ageing, and no single daily view of how the clinic was running.
Automated membership tracking with renewal nudges and lapsed-member outreach; flagged members due an annual health check; chased and matched invoices; surfaced a 07:00 daily operations digest and an operational task tracker; added marketing consent capture and segmentation.
Pathways the system runs — and work nothing slips through.
High-touch longevity and hormone programmes — BHRT, peptides, executive screening — depended on people remembering multi-step protocols. Tasks were scattered, monitoring bloods slipped, and there was no reliable monthly picture.
Encoded the clinical pathways as tracked tasks in the EHR — BHRT initiation and post-initiation review, peptide titration, executive-screening recalls; surfaced overdue monitoring bloods and care gaps; ran a daily task tracker and monthly performance reporting; reconciled clinician rota and billable hours; captured marketing consent and segmentation.
Data Privacy Notice: To protect client confidentiality, these case studies may contain perturbed and synthetic data. These modifications are intended solely to prevent identification of individuals or organisations and do not materially affect the statistical validity, trends, or conclusions presented.
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