Consults booked, by source, and what each one cost.
Every brand and service line side by side: where consults come from, what each booked consult costs, how many become treatments, and how soon a patient can be seen.
Totals and counts only — never patient-level health information.
FRANK Command
Are we winning?What needs me today?One screen answers both.
FRANK Command · sample
Loading the sample
Sample — invented data for illustration.
The tiles
What each tile tells you.
Tile
What it tells you
Consults booked
By brand and service line against target, with source breakdown
Cost per booked consult and per treated patient
By source; ad and sponsorship spend joined to booked consults
Conversion
Consult-to-treatment conversion by brand, provider and source; share followed up inside seven days
Revenue booked and collected
By service line: deposits, scheduled surgeries, average case value
Access and capacity
Days to next consult slot, surgeon and room utilisation, no-show rate
Reviews
Rating and review velocity by location and brand; response time
AI-assistant visibility
How often ChatGPT, Gemini, Perplexity and Grok recommend each brand for the priority questions, against three to five named competitors, with sentiment and cited sources
What it catches
What goes amber or red.
01
Cost per booked consult rising above its target
02
A source sending consults that do not convert
03
Days to next consult slot above target
04
A fall in review rating
05
Consults not followed up within seven days
What we wire first
Week one: bookings with their lead source, ad and sponsorship spend by month, and one agreed rule for what counts as a booked consult.
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