01What we do
Weekly intelligence on every clinic
Every week, Yoluko processes and cross-references 81,000+ clinic brands across Australia and the UK from multiple public sources. For each clinic, we build a full technology profile: what software it runs, who works there, how patients book, and how the practice markets itself online.
The result is a structured, queryable dataset covering 108,000+ clinic locations across 81,000+ brands, updated every week. Not a one-time snapshot, but a living map of the market.
81,000+ brands
analysed weekly
108,000+ locations
mapped
900+ clinic types
covered
02What we detect
24+ technology categories
Yoluko identifies software across 24+ technology categories, with deep coverage in healthcare-specific tools. We maintain a proprietary detection system covering 50+ PMS/EHR systems, 30+ booking platforms, and dozens of payment, CRM, telehealth, and marketing tools.
Each clinic is cross-referenced across multiple data sources. The core challenge is attribution: cleaning, joining, and disambiguating signals to accurately identify specific products, even when vendors white-label or share infrastructure.
Plus firmographics: team size, clinic type, Google rating, review count, founding year, multi-location flags, and decision-maker contacts.
03Data freshness
Weekly cycle, not quarterly
Most healthcare data providers update quarterly at best. Yoluko runs on a weekly cycle, so you always work with data that reflects the market as it is today, not six months ago.
Wed - Tue
Collection
All 81,000+ clinic brands processed across multiple sources
Tuesday
Analysis
Cleaning, attribution, signal generation, quality checks
Wednesday
Delivery
Updated dataset delivered to feed clients
Migration signals are generated by diffing each week against the previous one. If a clinic switches its PMS on Thursday, the signal shows up in Wednesday's delivery.
04Detection confidence
Every detection is scored
Not all detections carry the same weight. We assign a confidence level to every identification so you know exactly how much to trust each data point.
Unambiguous identification from multiple corroborating signals. Example: a vendor-specific integration that can only belong to one product.
Clear identification from a single reliable source. Accurate in the vast majority of cases, but with a small chance of misattribution in edge cases.
Identification based on indirect signals, patterns, or partial matches. Useful for prioritisation and lead scoring, but should be verified before use in outreach.
Confidence levels are included in every data delivery. You can filter by confidence to match your use case: strict for outreach scripts, broader for market sizing.
05How signals work
Real-time buying intent from weekly diffs
Because we analyse every domain every week, we can generate migration signalsby comparing this week's results to last week's. These diffs surface real buying intent that no static database can capture.
A clinic replaced one vendor with another (e.g. moved from Best Practice to Cliniko)
A known tool disappeared from the website, often signalling active evaluation
A clinic added a tool for the first time (new booking widget, CRM pixel, etc.)
Team size increase, new location added, or rating milestone crossed
Weekly feed clients receive these signals every Monday. Monthly feed clients get a consolidated batch. One-shot extracts include a snapshot of recent signals for the requested segment.
06Privacy and compliance
Public data only, no exceptions
Yoluko only reads information that clinics have already chosen to make public. We never access anything behind a login, paywall, or authentication layer.
No login or authentication
We never log into clinic systems, patient portals, or admin panels. All analysis is from publicly accessible pages, the same content any visitor sees in a browser.
No patient data, ever
We do not collect, store, or process any patient information. Our dataset contains only business-level data: clinic names, staff names from public team pages, and technology indicators.
No aggressive scraping
We respect robots.txt directives and rate-limit all requests. Our approach is passive analysis of publicly available information, not high-volume crawling.
No survey dependency
Detection is proprietary and multi-source. We don't rely on self-reported data, vendor partnerships, or user reviews.
The legal position
Analysing publicly available business information is a well-established practice used across the data industry. Yoluko collects only business-level data (company name, staff names, technology indicators) from pages that clinics themselves publish for the public. No personal health information. No data behind authentication. Our processing of publicly available business data is consistent with the UK GDPR (legitimate interest basis, Article 6(1)(f)), the Australian Privacy Act 1988 (APP 3.4, publicly available information exemption), and the EU GDPR.
Tell us your target segment
We'll send a free count and sample rows within 24 hours. No commitment required.