Most practice owners blame thin review counts on patients. Busy people don’t write reviews, the thinking goes, and happy patients stay quiet. In our experience, the gap starts earlier. The ask rarely happens at all.
At a multi-site group, the review request is the first task to go. Your front desk forgets the review ask when one patient is disputing a copay. Two more are waiting to check in, and line 2 is blinking. That slip repeats one visit at a time, at every location, on a different week at each.
So automating review requests across Tebra locations matters more for groups than for solo offices. Each site has its own staff, its own turnover, and its own Google profile. A manual habit has to hold at all of them at once, and it rarely lasts a month.
We think review volume per location should track how many patients you see. Who happens to be working the desk shouldn’t change it.
Once a completed visit in Tebra sends the request on its own, the numbers move fast. Based on our internal data, one multi-location group earned 1,064 new five-star reviews in three months with no added staff steps.
Thin review counts cost you new patients, one town at a time. Based on our internal research, 90% of new patient leads look at your Google Business Profile before your website.
Everyone in a group agrees reviews matter. Ask who owns them, and you’ll get a pause.
Your office manager handles staffing, payroll, and patient complaints. Front desk staff check patients in, verify insurance, collect copays, and answer phones. Billing works denied claims.
Review generation shows up in none of those job descriptions, so it lands on whoever has a spare second. In a lean group, that’s nobody.
Providers sometimes mention it at the end of a visit. A provider running 20 minutes behind skips that line first.
Spread that across four or six sites, and the group-wide review habit exists only in a meeting note. Tebra already holds every visit record, so the list of who should be asked is sitting right there. What’s missing is a step that acts on it.
Most groups have run this play at least once. Someone shares a competitor’s review count at a leadership meeting.
A script gets written: “If you had a good visit today, we’d love a Google review.” Table tents go on the check-out counters, and staff get a reminder in the group chat.
Week one goes fine at the location where the owner works most days. The other sites ask a few patients each. By week three, asks are near zero everywhere, and the table tents are propping up a stack of intake forms.
Next quarter, the same meeting happens with the same script. A spoken ask loses every time it competes with a task that has a patient standing at the counter.
Look at what one check-out involves at a busy site. The patient needs a follow-up in four weeks, but the provider’s schedule in Tebra is full until the 18th.
Their card declines on a $40 copay. A second patient wants to know if her referral went through, and the phone has rung four times.
By the time the first patient walks out with an appointment card, nobody is thinking about Google. And the review request is the only task on that list with no penalty for skipping it. No patient calls back upset that they weren’t asked.
The manual ask needs the one task with no pressure behind it to get done in the most crowded minute of the visit.
Some of your local rivals may already send automated requests. Each week, they collect reviews from a share of every visit while your sites collect a handful.
Some illustrative math shows how fast that adds up. A rival site seeing 25 patients a day, 20 days a month, has 500 visits.
If 3% of those visits turn into reviews, that site adds 15 reviews a month, or 180 a year. A site relying on spoken asks that lands one or two a week adds about 50 to 100 a year.
Google’s own help page on local ranking says review count and score factor into how prominent a business looks in local results. Your newer locations feel this most. They start near zero, and every month of manual asking pushes them further behind.
In most groups, one location has a front desk lead who asks everyone. Call her Dana. Her site climbs to 200 reviews while the others sit at 30. Then Dana takes a job closer to home, and that site’s reviews stall within weeks.
From the owner’s chair, the pattern makes no sense. One site shows a 4.8 rating with 200 reviews, another a 4.6 with 31, and no report explains why.
Tebra shows visits. Google shows reviews. Nothing ties the two together per location, so there’s no number to coach against and no way to tell a staffing gap from a care problem.
Curogram works as the group’s network reputation desk. It’s one system that sends the review ask for every location, so no person has to remember it.
When a Tebra appointment is marked complete, Curogram queues a text for that patient. The message names the location and holds one link. The patient taps it, lands on that location’s Google review form, picks a star rating, and writes. Two taps get them to the form.
Your staff keep doing exactly what they do now. They check the patient out in Tebra, the same click they make today, and the request follows from it.
Post-visit review request automation turns the review ask into a side effect of a step your team already takes hundreds of times a week.
Curogram reads appointment activity from Tebra. A status change on a real visit starts each request. You have no patient list to export and no weekly campaign to schedule.
Visits that never reach complete send nothing. A no-show, a late cancel, or a reschedule won’t produce a request. Patients who never came in won’t get a “thanks for visiting” text.
A sample message looks like this:
Thanks for visiting Northside Family Care - Eastside today. We’d value your feedback. Leave a review here: [link]. Reply STOP to opt out.
The text leaves out the provider’s name, the reason for the visit, and anything clinical. A review request should never carry PHI, and keeping the wording generic makes that easy to hold at every site.
Review request timing changes how many patients act on the text. Send it while the patient is still in the lot, and they’re buckling a child into a car seat. Send it three days later, and the visit has blurred into the week.
We recommend a same-day send, often 60 to 120 minutes after check-out. The patient is home or back at work, and the visit is still fresh.
Sites with different rhythms can run different delays. An urgent care site with walk-ins until close may want a shorter gap than a pediatric office whose parents are heading to school pickup.
Keep evening limits in mind. The TCPA bars telephone solicitations before 8 a.m. or after 9 p.m. local time, so late check-outs are better held until morning.
|
What You Set Per Location |
What It Controls |
Example |
|
Trigger |
Which visit status starts the request |
Appointment marked complete in Tebra |
|
Send delay |
Gap between check-out and the text |
90 minutes |
|
Google link |
Which profile opens |
The Eastside office’s own profile |
|
Message wording |
What the patient reads |
Location name, thanks, one link, opt-out |
Routing is where many group setups go wrong. A single review link pointing to the main office piles every review onto one profile. The main site climbs to 400 reviews while a satellite clinic stays at 12.
Every Tebra appointment carries a service location. Curogram maps each service location to its matching Google Business Profile. A patient seen in Northgate reviews Northgate.
All sites still sit in one Google review automation group. Owners manage settings in one place and can tune a single site without touching the rest.
Google’s review policy bars businesses from discouraging negative reviews or asking only happy customers.
The FTC’s 2024 rule on consumer reviews also targets review suppression. Review gating compliance comes down to one test: does every patient get the same chance to post?
With Curogram, every completed visit gets the same text with the same Google link. No survey screens patients first. A patient who wants to reach the office privately can reply to the text, and that reply lands with your team. The Google link stays in the message either way.
Each location gets three counts: requests sent, links clicked, and reviews earned. Divide reviews by completed visits, and you have one rate you can compare across every site.
Say Eastside converts 4% of visits and Westside converts 1%. That gap points to fixable causes. Westside’s mobile numbers may be missing in Tebra demographics, or its link may point to an old profile. Both are settings you can fix in an afternoon, with no staff meeting.
Based on our internal data, one multi-location practice earned 1,064 new five-star reviews in three months after turning on automated requests. That’s about 355 a month, or roughly 12 a day, across the group. No one on staff spent an hour on it.
With requests tied to visits, review count follows visit count, which every location already produces. A busy site sends more requests because it sees more patients, and a quiet week sends fewer.
Take one illustrative visit at a three-location family medicine group on Tebra.
Nobody at Eastside’s desk touched steps 2 through 6.
Automation adds reviews at a similar rate per visit at every site. A newer location with nine reviews gains far more trust from 27 new ones than a flagship with 310 does from 81.
The table uses an illustrative 3% visit-to-review rate over 90 days.
|
Location |
Monthly Visits |
Reviews at Start |
Added in 90 Days |
Growth |
|
Main office |
900 |
310 |
81 |
26% |
|
Eastside (2 years old) |
500 |
42 |
45 |
107% |
|
Northgate (new) |
300 |
9 |
27 |
300% |
Northgate goes from looking unproven to holding a credible review count within one quarter. We call this floor-first growth. Your weakest profiles catch up first, which lifts the group’s local search results where they were lowest.
Automated Review Requests in Curogram send a review text after every completed visit at every Tebra location. Your staff add no steps to check-out.
Setup happens once per group. We connect to your Tebra account, map each service location to its own Google Business Profile, and set the send delay and message wording for each site. Most groups finish this in one working session with our team.
After launch, the system runs on visit activity. A completed appointment queues a text. Canceled and no-show visits send nothing. Each message carries the location name, a thank-you, one Google link, and an opt-out line, with no clinical details.
Every patient receives the same request. There’s no sentiment survey in front of the link, which keeps your group aligned with Google’s policy against review gating.
When a patient replies with a concern, the reply arrives in Curogram’s shared inbox, so your office manager can call them the same day.
Owners get a per-location report showing requests sent, links clicked, and reviews earned.
Reviews divided by completed visits becomes the rate you compare across sites. A drop at one location usually traces to a setup issue, such as missing mobile numbers in Tebra, and you can fix it without retraining anyone.
Based on our internal data, one multi-location group earned 1,064 new five-star reviews in three months with this workflow. Review volume per location rose with visit volume, and the group’s newer sites gained the most.
Any task that depends on a busy person remembering it will slip, and the review ask slips first. Your group has already tested this. Every script, table tent, and staff reminder faded on its own schedule at each site.
Tebra already records every completed visit. Curogram uses that record to ask each patient while the visit is still fresh, with the right Google profile on the other end of the link. Your front desk keeps checking patients out, and the request follows.
Try one count before you decide. Pull last month’s completed visits from Tebra for each location, then count the new Google reviews each site earned in the same month.
A site with 500 visits and three new reviews scores 0.6. Every visit in that gap was a patient nobody asked. Based on our internal data, one group turned that same visit flow into 1,064 five-star reviews in three months.
Your newest locations have the most to gain. They start with the fewest reviews, so each new one moves them furthest in local search.
Book a demo and we’ll walk through your Tebra setup, map each location to its Google profile, and set request timing for every site in one working session.