- Before (index)
- 100
- After 90 days (index)
- 132
Dermatology clinic · The London Skin and Hair Clinic
Google website visits rose 32% for London Skin and Hair Clinic
The clinic had 500 reviews, full of questions and experiences that could help new patients. LocalCMO used those themes to improve service content and local search coverage. Google website visits increased 32% over 90 days.
90-day results
What changed for The London Skin and Hair Clinic
- Before (index)
- 100
- After 90 days (index)
- 125
- Before
- 3
- After 90 days
- 8
- Before
- 12
- After 90 days
- 17
Measurement note. Source: LocalCMO customer case records. Reporting period: 90 days. Indexed figures use a starting value of 100; they show relative change, not absolute counts. pp means percentage points. Changes are rounded where needed.
The difference
Eight target keywords reached the local top three
The count rose from three to eight during the 90-day period. Google website visits increased 32%, and phone enquiries rose 25%. Average monthly new reviews also grew from 12 to 17.
More of the target searches showed the clinic
Eight tracked terms reached the local top three, compared with three at the start.
Website visits and phone enquiries increased
Website visits and phone enquiries both increased, measured separately from patient bookings.
The challenge
500 reviews held more useful detail than the service pages
The London Skin and Hair Clinic had a substantial review history. Patients wrote about doctors who listened, explained treatment and responded to questions. That detail was useful to people considering a skin or hair consultation, but much of it remained in the reviews.
The task was to connect those recurring topics with the services people searched for. At the start, three of the tracked keywords appeared in the local top three. The clinic needed more of its relevant service content to be found by people who were not already searching for its name.
At The London Skin and Hair Clinic
Before and after LocalCMO
Before and after the work
Before LocalCMO
Review themes were separate from content planning
Patient questions were not systematically connected to service pages and business posts.
Three tracked keywords in the local top three
The initial ranking check established which target searches already had strong visibility.
After LocalCMO
Patient questions informed new content
Service explanations and posts drew on recurring review topics, with medical wording reviewed by the clinic.
Eight tracked keywords in the local top three
More of the target terms reached the top three within the measured search locations.
- 01
Organised the review themes
LocalCMO grouped the 500 reviews by service, doctor, treatment experience, response speed and issues needing attention.
- 02
Connected those themes to local searches
Skin concerns, hair loss and consultation questions informed the target keyword set. Rankings were checked at fixed locations.
- 03
Prepared explanations for clinical review
LocalCMO drafted service content and Google Business Profile posts. The clinic approved medical statements before publication.
- 04
Compared discovery and enquiries
The team rechecked the target rankings and tracked website visits, phone enquiries and new reviews separately.
Products used
How LocalCMO supported the work
Review monitoring
Read new reviews, spot recurring questions and prepare replies for your team.
See this LocalCMO productLocal SEO
Track the service searches that matter to your business in the areas you serve.
See this LocalCMO productSocial media
Plan posts around your services and customer questions, then review them before publication.
See this LocalCMO productQuestions and answers
About The London Skin and Hair Clinic's results
How were patient reviews used in the content?
LocalCMO grouped recurring questions and experiences, then used them to inform service explanations and posts. The clinic reviewed medical wording before publication.
What does eight keywords in the local top three mean?
Eight of the tracked target terms reached a top-three local position within the measured search locations. It does not describe every keyword or every location.
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