New: Search AI now reports how ChatGPT, Gemini and Perplexity recommend your locations.
Outcomes, not impressions

Growth math your board can underwrite.

Representative results across multi-location, PE-backed and value-based platforms.

Multi-specialty · 14 sites · PE-backed

Cut no-shows 84%. Grew new-patient volume 53% in 9 months.

Metric
Baseline
With PatientBound
Change
New patient volume
142/mo
218/mo
+53%
No-show rate
11.4%
1.8%
−84%
Cost per acquired patient
$186
$71
−62%
Quality bonus captured
42%
89%
+2.1×
Dental support org · 62 sites

Missed-call recovery rebuilt an entire location's P&L.

Metric
Baseline
With PatientBound
Change
Missed calls answered by AI
0
94%
New
New patient bookings from calls
38%
71%
+87%
Google review response rate
22%
100%
+4.5×
Average rating (rolling 90d)
3.9
4.7
+0.8
Primary care · Medicare Advantage

Value-based care contract paid what it modeled to.

Metric
Baseline
With PatientBound
Change
AWV completion rate
48%
91%
+90%
Open HEDIS care gaps
3,240
610
−81%
Quality bonus captured
$1.2M
$2.7M
+2.25×
30-day readmission rate
14.1%
8.4%
−40%

Questions about these results

Are these results typical?

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They reflect multi-location US practices running the full PatientBound stack for at least two quarters. Results vary by specialty, payer mix and starting maturity — the growth audit models your own numbers.

How do you attribute new patients?

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Calls, forms, chat and messaging are tracked to the appointment level and reconciled against your PMS/EHR, so a booked patient is counted once, per location and per source.

What drives no-show reduction?

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AI confirmation, rescheduling and waitlist backfill across every channel, running continuously instead of the manual call list your staff never finishes.

How fast do results appear?

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Reputation and access metrics typically move inside 30–60 days; acquisition and AI-search share-of-answer typically compound across two quarters.

While you wait, competitors are booking your patients.

Ready to become AI-first?

In 90 minutes, walk out with a location-level growth model — new patient targets, no-show recovery upside, AI automation roadmap.