The patients you already paid for

Patient Reactivation Program

Bring back the people who came once, liked it, and quietly stopped coming.

What is actually happening

Every clinic has a list. Hundreds of people who came in, were treated well, and then life got busy. They did not leave unhappy. They just stopped.

Meanwhile the marketing budget goes on strangers. A new patient costs you an ad click, a consultation slot and a conversation. Someone who already trusts you costs a message.

Most clinics are sitting on more revenue in their old records than in their ad account, and have never once written to those people.

How we close it

  1. 1

    We work through your existing records

    Past patients, grouped by what they came in for and how long it has been. No list buying, no cold contacts, nobody who has not already been to you.

  2. 2

    A reason to come back that is actually about them

    Someone who had laser eighteen months ago needs a different message from someone who came once for acne. The sequence reflects that.

  3. 3

    Sent on WhatsApp, spaced properly

    Not one blast to everyone. A short sequence that stops the moment somebody replies or books.

  4. 4

    Replies go to your team, not into a void

    Everything that comes back lands in one place with the patient history attached.

What you get

  • Your patient records organised into reactivation groups
  • Message sequences written for each group and approved before anything sends
  • WhatsApp delivery with quiet hours and monthly caps, so nobody feels chased
  • A live view of who replied, who booked, and who asked to be left alone

When this is not for you

If your records are only names and dates with no treatment history, we can still run it, but expect it to be blunter and to work less well.

The point of all of it

The list you already own starts producing appointments instead of sitting in a drawer.

Talk to me about this

Other things we build

See all six

Helping dermatology & aesthetic clinics grow through a steady, well-timed flow of patient reviews.

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