Do reviews and online scheduling move new-patient growth?
Tested on all 249 active SGA practices, January to September 2026 against the same months of 2025. Prepared 2026-10-05 by Growth Marketing for the Nashville summit doctor deck. Sources: Power BI new patients, 28,031 Google reviews pulled on October 5, Neurality monthly exports April to September, PeerLogic January to August.
1. Reviews do not predict growth
If more reviews brought more new patients, practices in the top review quartile would be growing faster than the bottom. They are not. The four quartiles land within two points of each other, and the ordering is random.
New-patient growth by review-velocity quartile
Median NP YoY, Jan to Sep 2026 vs 2025, 236 practices. Quartile by average Google reviews per month, Jan to Aug 2026.
| Measure | Rank correlation with NP YoY | Practices | Reading |
|---|---|---|---|
| Review velocity, avg per month Jan to Aug | 0.01 | 236 | None |
| Reviews per 100 new patients (how well the office asks) | −0.09 | 236 | None |
| Average rating, Jan to Sep | 0.06 | 231 | None |
| One-star share of one-plus-five-star reviews | −0.03 | 231 | None |
| PeerLogic NP phone conversion, Jan to Aug | 0.10 | 90 | Weak |
2. The SGA East review outage
The September review counts carry a problem of their own. Around August 24 to 25, Google reviews stopped arriving at SGA East. 34 East practices that averaged 10 to 22 reviews a month went to zero in September, and another 36 fell more than 70%. West and Specialty were unaffected.
Lifetime review totals on the affected listings today equal the July 12 count plus everything posted since, within a few reviews for 30 of 34. Google did not remove reviews. They stopped arriving.
Last review dates cluster on August 25 for 18 practices and August 24 for 5 more. That is a platform or vendor change, not office behavior. The sender is not yet identified.
September new patients at the review-stopped practices fell 7.7% year over year against 5.1% at East practices with normal inflow. One month, 31 against 12 practices, inside the noise.
Any September review number for an East practice in the summit dataset reflects this outage, not practice performance. The per-practice list with last review dates is in the shared dataset's Review note column.
3. Online scheduling is the one positive signal
Where online bookings make up a larger share of a practice's new patients, growth is higher. The effect is modest and the direction of cause is open, but it is the only variable in the dataset that moves with growth at all.
July to September new-patient growth by online-booking share
Median NP YoY, Jul to Sep 2026 vs 2025, 121 Neurality practices split into thirds by online NP bookings as a share of total NP. Median share 10.8%, 75th percentile 17.5%.
4. Neurality go-live has not moved new patients yet
Practices with Neurality run −2.5% against −4.0% without it, but that gap reflects which practices were chosen for rollout. The cleaner test compares each practice's new patients in the two months after go-live with the two months before, adjusted for the same months in 2025, against practices that never went live.
What Neurality does change: the phone metrics
The same before-and-after test on PeerLogic shows a clear effect. After go-live PeerLogic sees far fewer missed calls, scores fewer new-patient intent calls, and the remaining calls convert better.
| PeerLogic metric, after minus before go-live | Neurality go-live (30) | Never-live control (1,067 windows) |
|---|---|---|
| Missed-call percentage | −8.1 pts | +0.6 |
| New-patient intent calls per month | −11 | −6 |
| New-patient conversion | +10.5 pts | −1.3 |
| Calls per month | −17 | −47 |
Implication: a PeerLogic conversion lift after a Neurality go-live is the tool, not the front desk. Whether PeerLogic scores the calls Neurality answers, and whether the agent's bookings count as successes, is an open question with PeerLogic.
5. What would actually prove it
- A monthly panel, not a snapshot. Reviews, online-booking share and new patients by practice by month over twelve or more months, with one- to three-month lags. The Railway review tables and the monthly review refresh produce exactly this by spring.
- The East outage as a natural experiment. If reviews drive new patients, the 34 stopped practices should fall behind the 12 normal East practices over October to December. We will know by January.
- Incremental, not substituted, online bookings. Compare phone-booked plus online-booked new patients before and after the online scheduler goes live, not online share alone.
6. Sources and method
| Input | Source | Coverage | Caveat |
|---|---|---|---|
| New patients | Power BI via the SGA Data MCP, pulled 2026-10-05 | 236 of 249 | Thirteen practices have no Power BI rows, mostly East four-wall offices that roll up to a parent. |
| Google reviews | Every review on each listing, October 2025 to October 5 2026, counted by post date | 249 | Four code pairs share one listing. East September is the outage above. |
| Neurality | Monthly analytics exports April to September; web-scheduler new-patient bookings July to September | 156 to 178 | Rollout began April 2026. Online share only exists for July to September. |
| PeerLogic | Monthly per-extension export, January to August 2026, pooled | 91 | West plus nine East only. Definitions changed in June and September 2025, so no 2025 comparison. |
Growth is Jan to Sep 2026 against Jan to Sep 2025 per practice, excluding openings and closures. Correlations are Spearman rank. Quartile and third splits report the median within each group. The full per-practice dataset is the Sarah Summit Practice Dataset workbook, built 2026-10-05.
