Methodology

Verified UK aesthetic clinics, and every recorded change to them

How Omnera decides which clinics exist, what it reads from each one, and how it turns repeated observations into dated change events. Precise, evidence-first, no inflation.

The problem with inflated directories

Generic healthcare directories quote big provider counts, but those totals are inflated with physiotherapists, general dental practices, pharmacies, care homes, GP surgeries and general wellness businesses that will never buy aesthetic injectables or devices—plus administrative offices and holding-company addresses. Whether you are planning a territory, screening acquisitions, monitoring a borrower book or measuring share, that is noise, not signal: a physiotherapy practice is not an aesthetic clinic.

Evidence-verified screening

What we intentionally exclude

Every exclusion is a deliberate choice so that a count, a share or a match is computed over real clinics.

Mixed provider types

Locations that don't offer aesthetic services are excluded. If they don't provide injectable or medical aesthetic treatments, they're not in our dataset.

Non-aesthetic location noise

Administrative offices, holding company addresses, and facilities with no clinical relevance to aesthetic treatment are filtered out.

Corporate filings as the primary source

Legal entity data tells you nothing about what treatments a clinic offers or which products they use. We surface operational intelligence, read from the trading site, and never match clinics on filings alone.

The data integrity gap

Holding companies in UK aesthetics often own several sites with different clinical focuses, so a filing alone cannot say what a clinic does. Omnera matches at the trading-site level and joins the company afterwards: a record is a clinic, not an accountant's office.

Signals

What we use instead

Operational signals read from each clinic's own listing and website, each with a source and a date.

✓

Google reviews

Review volume indicates patient throughput. Rating indicates service quality. Recent reviews indicate active operation.

✓

Practitioner density

Number of practitioners named on the clinic's own site, with their stated roles and GMC, GDC or GPhC register cross-checks where available.

✓

Service verification

Confirming injectable and medical aesthetic service offerings through website analysis and AI Product Inference.

Several independent signals per clinic

Every clinic record carries several independent signals, so each view can filter and rank clinics by the ones that matter to it:

Treatment breadth from website analysis
Social media profiles linked from the clinic's site
CQC registration status and inspection rating
AI Product Inference signals for injectable and device adoption
Brand affiliation indicators

One record per clinic

While directories often double-count clinics due to minor name variations (e.g., "Skin Clinic Ltd" vs "Skin Clinic"), Omnera resolves clinics using a hybrid approach that combines deterministic identifiers with probabilistic similarity scoring—ensuring a clean, de-duplicated dataset.

Combined with Professional register cross-checks—where a practitioner can be matched by name to a UK professional register (GMC, GDC or GPhC), the record shows it—you can see which listed practitioners are confirmed registered professionals, not just directory entries.

The de-duplication advantage

Every record represents one real clinic. 'Dr Smith Aesthetics' and 'Smith Aesthetics Dr' do not appear as separate records.

The history layer

A timeline, not a snapshot

Omnera stores every observation and every change between them. A clinic's record is a timeline, not a snapshot, and every figure on this site carries the date it was true. This is the one page that says so; everywhere else, the date does the talking.

Observations

Each crawl of a clinic's website, each read of its Google listing, each check of a register is stored as an observation with its source, its timestamp and the raw evidence it was read from. Nothing is overwritten.

Attributes

Trading name, listing status, website status, booking platform, finance provider, brands, treatments, practitioners, CQC state: each is an attribute with a value, a first-seen and a last-seen date, so “what was true in March” is a query, not a guess.

Change events

When two observations of the same attribute disagree, Omnera records a change event: what changed, from what to what, the two observations behind it, and the date. Openings, closures, rebrands, switches and moves are all change events.

Confidence

Every change event carries a confidence from the quality of its two observations: a complete crawl of a reachable site scores higher than a partial one, a Google “permanently closed” higher than a single failed fetch. Events below the publication threshold stay in the platform and out of public figures.

Calibration: tested, published, limited

Derived scores (growth, closure risk) are published as a score version with the weights and the method behind them. A score appears on a customer-facing report only once it has passed a verified test against known outcomes; until then it is withheld and the report says so. The acquisition score is withheld from every customer report: it describes the kind of clinic platforms have bought; it has not been shown to predict who will be bought.

Coverage by signal

A signal can only report change from the month its history starts. These are the dates each one has been recorded from; the drift report uses the same dates.

Google reviews, ratings and listing status since December 2025. Source: Google Business listings.
Treatments and brands advertised since May 2026. Source: Each clinic's own website.
Booking platforms since August 2026. Source: Each clinic's booking pages.
Practitioners named and their stated roles since October 2026. Source: Clinic websites, cross-checked against GMC, GDC and GPhC where a name matches.
Finance providers offered since October 2026. Source: Clinic websites.
Company officers, appointments and resignations since October 2026. Source: The Companies House public register, for the company matched to each clinic; flags and bands across the platform, and directors by name and role inside licensed deal-team workspaces.

Officer and ownership signals

Since October 2026 the Companies House public register is joined to the clinic record: a clinic is matched to its company by name and postcode, and that company's officers, appointments and resignations are recorded. Director changes are change events; founder-led, years-trading and retirement-window flags are derived from them and shown as flags and bands. Licensed deal-team workspaces also see each company's directors by name, role and dates as the register lists them, with a five-year age band in place of the date of birth. A clinic is still never matched on a filing alone, and the data protection page states the basis for the processing.

The result: a verified record with a history

An evidence-verified dataset of 15,000+ UK aesthetic clinics, built so every record is a real trading site, and a history layer beneath it that turns repeated observations into dated change events. Manufacturers, deal teams, lenders, finance providers and software vendors read the same record through their own workspace.

15,000+

UK aesthetic clinics

Clinic-level

Evidence screening

Dated

Every observation and recorded change

Run it on your list

Send us the list you already work from; we match it to the record and show you what changed in it, with the date and the evidence.

Run it on your list