Research & Sources

We don't makeclaims we can't back up.

Every statistic ExperClinic uses in its marketing comes from published research. Here's the data behind the numbers, and where each one comes from.

Group 01

Review behavior

84%
of patients check online reviews before booking a healthcare provider
Source rater8: How Patients Choose Their Doctors (2025)
74%
of patients would leave a review if simply asked by their provider
Source Medical Economics: Patients Trust Reviews But Don't Leave Them
72%
of patients will only book with a practice that has a 4-star rating or higher
Source TechTarget Patient Engagement: Online Reviews Report
52%
of patients who left a negative review had never been contacted to address their concern
Source Medical Economics: How to Encourage Patients to Post Reviews
73%
of patients only trust online reviews written in the last 30 days. Older reviews carry less weight with every passing week.
Source BrightLocal: Local Consumer Review Survey
Group 02

No-shows and revenue

$150-200
average revenue lost per missed appointment
Source Relatient: The True Cost of Patient No-Shows
$150B
lost annually across the U.S. healthcare system due to patient no-shows
Source ProactiveChart: Reduce Patient No-Shows
38%
reduction in no-show rates when practices use SMS appointment reminders
Source Klara: Text Reminders Reduce No-Shows by 38%
Group 03

Patient switching

3x
Millennials and Gen Z are three times more likely to switch providers compared to older generations
Source TechTarget Patient Engagement: Online Reviews Report
25%
average increase in new patient inquiries within 6 months of improving online reviews
Source Software Advice: How Patients Use Online Reviews
Group 04

Local SEO and volume

20%
higher local search ranking for practices with 100+ Google reviews compared to practices with fewer
Source Widewail 2025: Why Google Reviews Matter for Local SEO
200-500
average Google review count for the top 3 practices in a major-city Map Pack. Volume plus recency is what puts you in the top 3.
Source Sterling Sky 2025: Local Search Ranking Factors
FAQ

What the data actually says

What percentage of patients would leave a review if asked?
Survey data from Medical Economics finds that the majority of patients are willing to leave a review when their healthcare provider asks them. The reason most clinics have low review counts is not patient unwillingness; it is that the ask almost never gets made consistently after a visit. Automating the ask is the largest single lever for review volume.
How much do no-shows cost medical practices?
Industry analysis from Relatient and ProactiveChart estimates each missed appointment costs an average medical practice $150 to $200 in lost revenue, plus the opportunity cost of the slot. Across the U.S. healthcare system, no-shows are estimated to cost over $150 billion per year.
Do online reviews affect patient decisions?
Yes. TechTarget's Patient Engagement coverage finds 72% of patients view online reviews when selecting a new healthcare provider. Software Advice and rater8 research find review count, recency, and star rating are among the top factors patients use to compare providers within local-search results.
Does review volume affect local search rankings?
Yes. The Sterling Sky 2025 Local Search Ranking Factors study identifies review count, review recency, and review velocity as significant inputs to Google's local-pack ranking algorithm. A clinic with more recent reviews than a competitor of the same star rating typically ranks higher in the local map results.
Our approach to data

Honest aboutwhat we know.

Every statistic on this page links directly to its source. We don't round up numbers or attribute findings to sources that don't support the specific claim being made.

We believe practices deserve transparency from the tools they use. If you have questions about any of these figures or want to discuss the research, reach out.

rater8: How Patients Choose Their Doctors: 2025 Report. Survey-based research on how patients discover and evaluate healthcare providers online.
Medical Economics: Patients Trust Online Reviews But Don't Leave Them and How to Encourage Patients to Post Online Reviews.
TechTarget Patient Engagement: 72% of Patients View Online Reviews When Selecting a New Provider. Covers review behavior and generational switching patterns.
Relatient: The True Cost of Patient No-Shows. Analysis of the per-appointment revenue impact of missed visits.
ProactiveChart: Reduce Patient No-Shows. Overview of the systemic cost of no-shows across the U.S. healthcare system.
Klara: Text Message Appointment Reminders Reduce No-Shows by 38%. Study findings on SMS reminder effectiveness.
Software Advice: How Patients Use Online Reviews. Survey-based research on patient acquisition and the impact of reputation management.

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