Patients choose a clinic in Malaysia for how the team treats them first and for the treatment second. This local SEO analysis of 11,369 Google Business Profile reviews, built with Python, found 66.0% mention service, 36.4% the doctor's skill, and over 90% message on WhatsApp before walking in.
What I analysed and how
I wanted to stop guessing what clinic owners should fix. So I collected 11,369 Google Business Profile reviews from random clinics across Malaysia, using a Selenium web scraper, and ran the analysis in Python. I shared the first results on Facebook in January 2026. This is the cleaned-up version with the method and the caveats written down.
A Google Business Profile is the listing patients see in Google Maps and in local search results, so its reviews are the closest thing to an honest patient survey. The caveat first, because it matters. This is a sample of clinics I could scrape, not every clinic in the country. Treat the percentages as a strong directional signal for how patients write about clinics, not as an official market statistic. If you want the same analysis run on your own clinic and your three nearest competitors, that is a Google Business Profile and local SEO job I do for clients.
Why do patients choose a clinic?
Patients mostly write about people. This is the share of all reviews that mentioned each reason (a review can mention more than one, so the shares overlap):
| Reason patients give | Share of reviews |
|---|---|
| Service and hospitality | 66.0% |
| Doctor skill | 36.4% |
| Clinic environment | 16.5% |
| Operational efficiency | 13.0% |
| Value for money | 9.6% |
Service and hospitality was the single biggest reason, and more than 6,000 comments were specifically about friendly staff. Two practical factors sat across all of them. The first is a location that is easy to reach. The second is being easy to contact, especially through WhatsApp, where someone replies quickly and sounds like a human being.
The takeaway is uncomfortable for clinics that spend everything on equipment and nothing on the front desk. A patient cannot judge your clinical skill from the car park. They can judge how you greeted them.
What do patients complain about?
The complaints are where the money is, because each one is fixable.
| Complaint | Share of complaints |
|---|---|
| Painful treatment | 32.4% |
| Long waiting time | 13.5% |
| Price issues (final bill higher than the first estimate) | 10.8% |
| Staff attitude (front desk) | 10.8% |
| Other topics | 32.4% |
Painful treatment leads, and that is the one you cannot fix with a script. It points to technique, anaesthesia and how well the patient is told what to expect. The other three are process problems. Waiting time, an estimate that changes at the counter and a curt front desk are all things a clinic can change in a month. The billing complaint is the most avoidable of all: quote the range up front, in writing, and explain what moves it.
Which language do patients write reviews in?
English is the main language of the reviews, followed by Malay, but reviews that mix both languages are the most common single style. That matters for two reasons. Your replies to reviews should match the language the patient used, and your Google Business Profile description should use the English and Malay phrases people actually search with, such as "klinik gigi near me" next to "dental clinic".
How do patients discover and validate a clinic?
The path has three stages, and Google Business Profile sits in the middle of all of them.
Discovery. 59.2% said a friend or family member recommended the clinic. 37.5% found it through social media or Google. Only 3.3% mentioned a signboard, so offline marketing was the smallest source.
Validation. 100% of the reviewers checked the clinic on Google Business Profile. They read the rating before visiting and looked at the photos before booking. A recommendation from a friend does not skip this step. It sends the patient to your profile to confirm it.
Conversion. More than 90% contacted the clinic on WhatsApp before walking in.
So the order is recommendation, then Google Business Profile, then WhatsApp, then the appointment. A weak profile or a slow WhatsApp reply breaks the chain even when the recommendation was strong.
What should a clinic do with this?
Three decision points decide whether a patient trusts you:
- Before the appointment: your rating and your photos on Google Business Profile. Keep the photos current and show the real reception, treatment room and team.
- At first contact: a fast reply on WhatsApp and phone. Set a response-time rule for your team and measure it.
- At the clinic: a standard operating procedure for the experience itself, covering greeting, waiting time and billing. Write it down so it does not depend on one good receptionist.
The Klinik Dr Rose case study and the local SEO leads case study show how a Google Business Profile turns into enquiries. For the fundamentals, start with local SEO services in Malaysia and local marketing strategies for service-based companies. The restaurant version of this study is in 19,659 restaurant Google reviews analysed.
Want this run on your own clinic's reviews? Message me on WhatsApp.
Frequently asked questions
Why do patients choose a particular clinic in Malaysia?
In the 11,369 Google reviews I analysed, 66.0% mentioned service and hospitality, 36.4% mentioned the doctor's skill, 16.5% the clinic environment, 13.0% operational efficiency and 9.6% value for money. Location and easy WhatsApp contact sat underneath all of them.
What do patients complain about most in clinic reviews?
Painful treatment was the largest named complaint at 32.4%. Long waiting time followed at 13.5%, then price issues at 10.8% and staff attitude at 10.8%. The remaining 32.4% fell into other topics.
How do patients find a clinic before booking?
59.2% of reviewers said a friend or family member recommended the clinic, 37.5% found it through social media or Google, and 3.3% noticed the signboard. Every reviewer then validated the clinic on Google Business Profile before going.
Do patients contact a clinic before walking in?
Yes. More than 90% of the reviewers who described their first contact messaged the clinic on WhatsApp before they walked in.
How was the clinic review data collected?
I collected the reviews from random clinic Google Business Profiles in Malaysia with a Selenium web scraper and analysed them in Python. It is a sample, not a census of every clinic.