Case studiesDental, New Jersey

Appointment remindersRecall automationHIPAA

How a New Jersey practice cut no-shows by 68% and recovered 112 lost patients

A 3-chair family dental practice had a 22% no-show rate, 380+ dormant patients sitting untouched in their PMS, and a handful of Google reviews. We installed a reminder system, a recall campaign and automated review collection. Here's the 90-day result.

22% → 7%No-show rate

112Dormant patients rebooked

4.2 → 4.8Google rating

$23,800Revenue recovered in 90 days

Confidential by request. Practice name, staff names and exact address withheld under NDA. Location: New Jersey, USA. Installed Q3 2024.

A full patient list. An empty schedule.

The practice had been open for seven years. They had loyal patients, but no system to keep them coming back, remind them to show up, or re-engage the ones who'd drifted away.

22% no-show rate
Manual phone reminders: staff called once, left a voicemail, moved on. Most patients never confirmed.
380+ dormant patients
Hygiene patients overdue 6 to 30 months. No time to chase them. They sat in the PMS, invisible.
4.2 Google rating
Happy patients left without being asked. Three angry reviews drove the score down. Nobody was collecting good ones.
Ad leads going cold
Running Facebook and Google ads with an average response time of 4.2 hours. Most leads had booked elsewhere by then.

The math: at about $280 per hygiene visit and a 22% no-show rate on roughly 80 appointments a month, this practice was losing $4,900+ a month to empty chairs alone, before counting the 380 patients who hadn't come back at all.

Four automations. Running within 14 days.

We installed the four workflows that move the most money in a family practice: reminders, recall, reviews and lead follow-up.

Automation 1 of 4

Appointment reminders on several channels

We replaced the single voicemail call with a 3-touch sequence across SMS, WhatsApp and email. Patients get a reminder 7 days out, 24 hours out and 2 hours before. Each message has a one-tap confirm or reschedule link. When a patient cancels, the slot is flagged for waitlist backfill automatically.

22% → 7%No-show rate after 60 days

91%Confirmation rate (SMS)

$0Staff time on reminders

SMS remindersPatient ████ ████████

Mon Oct 10, 7 days before

Hi! This is a reminder that you have a dental appointment on Mon Oct 17 at 11:00 AM. Please reply CONFIRM to confirm or RESCHEDULE to pick a new time. See you soon!

9:02 AM, delivered

CONFIRM

9:14 AM

Confirmed. Appointment locked in PMS.

Sun Oct 16, 24 hours before

Reminder: your appointment is TOMORROW, Mon Oct 17 at 11:00 AM. We look forward to seeing you! Reply HELP if you need anything.

Mon Oct 17, 2 hours before

Quick heads up, your appointment is in 2 hours at 11:00 AM. See you shortly! Reply DIRECTIONS for our address.

Mon Oct 17, after the visit, 5:30 PM

Great seeing you today! If you have a moment, we'd love a Google review, it really helps other families find us. Takes 30 seconds: [link] Thank you!

Done! Left you guys 5 stars

5:38 PM

The SMS sequence from the system. Patient name redacted. Every step fires automatically. Staff see only the confirmations in their dashboard.

Automation 2 of 4

Dormant patient recall campaign

We pulled all 380 patients overdue for hygiene from the PMS and loaded them into a personal 3-touch recall sequence. Each patient gets a friendly text mentioning how long it's been, inviting them back, with a direct booking link. No reply? A second message 5 days later, then a final one at 14 days. Opt-outs are removed automatically.

90 daysCampaign duration

$280Average recall visit value

$31,360Revenue from recall alone

Recall campaign: hygiene overdueQ3 2024, started Jul 8, 2024

Enrolled380

Replied14738.7%

Rebooked11229.5%

Opted out31

Sample outbound message (touch 1)

Hi ████! It's been a little while since your last cleaning. We just wanted to check in. We have some availability coming up if you'd like to get back on track. Here's a quick link to pick a time that works for you: [booking link]

Personalised per patient. Name and gap length inserted automatically. Sent by SMS.

Campaign dashboard from the recall system. Patient names and identifiers redacted. The campaign ran for 90 days with no manual follow-up from staff.

Automation 3 of 4

Google review requests

Every patient who completes a visit gets a review request by SMS at 5:00 PM the same day, when they're home and the experience is fresh. If a patient signals they're unhappy, they're sent to a private feedback form instead of Google, so problems get handled offline.

The Google rating went from 4.2 to 4.8 in 90 days, and the practice moved from page 2 to a top-3 map placement in their area during this period.

Google reviews, 90-day overview

Before4.23 reviews a month

After 90 days4.819 reviews a month

New reviews per month

July7

August19

September21

4 negative responses sent to the private form. None appeared on Google.

Automation 4 of 4

Instant follow-up on Facebook and Google ad leads

The practice was running ads and getting enquiries, but the front desk was replying 4+ hours later on average. We connected the ad platforms so every new lead gets a personal text within 45 seconds of submitting the form, naming the service they asked about, with a booking link. A 5-step follow-up handles non-responders.

Same ad spend. 3.4x more booked appointments, by replying in 45 seconds instead of 4 hours.

Ad lead pipelineJul to Sep 2024

Before4.2 hrsAverage first response, 12% booked

After<45 secAverage first response, 41% booked

90-day funnel

Leads received67

Auto-replied in under 45s67

Booked27

90 days after go-live

Measured against the same 90-day period the year before.

68%Fewer no-shows (22% to 7%)

112Dormant patients rebooked from recall

4.8Google rating (up from 4.2)

41%Ad lead conversion (up from 12%)

Before and after

Metric	Before	After (90 days)
Monthly no-show rate	22%	7%
Dormant recall patients active	0	112 rebooked
Google reviews per month	3	19
Google rating	4.2	4.8
Ad lead first-response time	4.2 hrs	Under 45 seconds
Ad lead to booked appointment	12%	41%

Total revenue recovered in 90 days$23,800No-show reduction about $8,100. Recall rebookings about $12,400. Ad lead conversions about $3,300. Based on an average hygiene visit of $280 and a new patient value of $580. Recall revenue excludes treatment plans started from rebooked recall visits.

How the data is handled

A text from a dental practice tells anyone who sees the phone that the person is a patient. So reminder and recall messages are patient communications under HIPAA, and they were written to say as little as possible.

source

Practice management systemLast visit, appointment dates

recall and reminders

Message builderFirst name, practice name, booking link

§164.502(b)

Treatment, balance, insuranceNever in a text

patient

Patient who opted inCan opt out from any message

TCPA

Booking written backInto the practice system

Simplified data flow for this system. Client systems shown by type, not by name.

Where data lives and is processed: Patient lists and appointments come from the practice management system. The reminder and recall tools read appointment and last-visit dates from it and write confirmations back.
What the messages never contain: Messages carry a first name, the practice name and a booking link. No treatment, diagnosis, balance or insurance details appear in any text, and review requests never mention why someone visited.
Who can access it: Staff see confirmations and replies in their dashboard. Campaign settings and patient segments are limited to the practice manager.
How long it's kept: Message history is kept in line with the practice's records policy. Patients who opt out are removed from every campaign and stay removed.
What's logged: Every message sent, delivered, replied to or opted out of, with the time.

Rules it maps to

HIPAA Privacy RuleMinimum necessary information in every message. §164.502(b)
HIPAA marketing rulesReminders and recall about a patient's own care are treatment communications. Promotional messages would need the patient's authorisation. §164.501 §164.508(a)(3)
Public reviewsReview requests and replies must not disclose PHI, so they never reference treatment. §164.502(a)
TCPAAutomated texts only to patients who gave their number for this purpose, with opt-out honoured on every message. 47 U.S.C. §227

This section describes how data moves through the system as delivered. Mapping a control to a rule shows which requirement it supports. It is not a statement that the client is compliant: that judgement belongs to the client and its advisers.

"We had 380 patients in our system doing nothing. In 90 days, 112 of them were back in our chairs. Some hadn't been in over two years. The recall system did in three months what we'd been trying to do manually for three years. My receptionist didn't make a single outbound call."

Practice managerFamily dental practice, New Jersey. Name withheld by request.

See all case studies

Services behind this system

More case studies

All ten case studies

How a New Jersey practice cut no-shows by 68% and recovered 112 lost patients

A full patient list. An empty schedule.

22% no-show rate

380+ dormant patients

4.2 Google rating

Ad leads going cold

Four automations. Running within 14 days.

Appointment reminders on several channels

Dormant patient recall campaign

Google review requests

Instant follow-up on Facebook and Google ad leads

90 days after go-live

Before and after

How the data is handled

Rules it maps to

Services behind this system

More case studies

Tell us what you want AI to do, and the rules it must follow.

Or send us a message

How a New Jersey practice cut no-shows by 68% and recovered 112 lost patients

A full patient list. An empty schedule.

22% no-show rate

380+ dormant patients

4.2 Google rating

Ad leads going cold

Four automations. Running within 14 days.

Appointment reminders on several channels

Dormant patient recall campaign

Google review requests

Instant follow-up on Facebook and Google ad leads

90 days after go-live

Before and after

How the data is handled

Rules it maps to

Services behind this system

More case studies

Home services, Newark

Home services, South Jersey

Car rental, Dubai

Tell us what you want AI to do, and the rules it must follow.

Or send us a message