A dormant chart, turned into a production line.
Revado runs Smyle East Meadow’s recall engine: always-on voice and text campaigns against the lapsed-recall and reactivation lists. The numbers below are the running scoreboard — practice-reported, cumulative, and updated as campaigns run — including the cohort that barely converted. That’s the point: the ledger reports what happened, not what sells.
Cumulative since launch, practice-reported. “Est. production” is the practice’s estimated value of booked treatment; “collected” reflects appointments kept to date. This page is refreshed as the ledger grows.
Watch a dormant list turn into a production curve.
Hover the points — each one is a real booked appointment. Toggle the projection to see what the practice is scaling toward as campaign volume doubles, then triples.
Segmented cohorts, not one blast — including the ones that convert least.
The freshest cohort converts best — most bookings are live transfers straight into the schedule.
Still productive — callbacks do more of the work as patients need a think before committing.
Text opens the door; the booking usually closes on a follow-up call — the channels work as a relay.
Colder lists convert least — cohort quality matters more than volume, and the ledger shows it instead of hiding it.
Book rate gets you appointments. Show rate gets you paid.
The same dental group tracks its paid-marketing vendors — three Meta-ads firms, in the same spreadsheet, over the same period. Their funnel books more absolute volume (that’s what ad spend buys), but the difference shows up after the booking: patients from your own chart show up, at nearly double the rate of bought leads.
Vendor figures come from the practice’s own vendor-tracking sheet (vendors anonymized); they buy new-patient demand, which reactivation doesn’t replace. The takeaway isn’t “fire your marketing” — it’s that the highest-show-rate patients you can put in a chair are the ones already in your chart, and most practices leave them uncalled.
The ledger, line by line. That’s what “auditable” means.
Patient identities are anonymized for this public page — the practice sees names, threads, and chart write-backs for every row. “Live transfer” means the AI handed a ready-to-book patient to the front desk mid-call; “callback” means the agent scheduled and completed the follow-up itself.
A sample from the live ledger — every row has a conversation thread and a chart write-back behind it. The stat we’re proudest of: 4 in 5 shows leave with their next visit already on the books — reactivated patients turned back into recurring ones.
The playbook behind the numbers.
Lapsed-recall windows and reactivation lists segmented by recency and priority — four cohorts, four scripts, no CSV exports.
Calls converted at roughly double the text rate (3.1% vs 1.5% of patients reached), but the best bookings were relays: text opens, call closes.
Live transfers went straight to the desk mid-call; agent callbacks completed on their own. Every booking wrote back to the PMS.
Your chart has a curve like this in it.
This isn’t ads, and it isn’t new patients — it’s patients Smyle East Meadow already had, reached in the right cohorts with a persistent, polite cadence. Bring your overdue-recall count to a 20-minute demo and we’ll estimate your version of this curve — then run a pilot and measure the real one.