Domain Tagging
Sales are now automatically grouped by category (e.g. Finance, Travel, Tech), making it easier to explore trends, compare value, and surface related domains. Providing smarter filtering, relevance scoring, and richer context across the platform.
The first iteration of domain tagging is now live and active across the dataset.
Domains are automatically categorised into themes like Finance, Travel, Tech, Health, Legal, and more, based on segmented keywords and mapped logic. Tagging is visible throughout the UI, and will soon be queryable/filterable from the main search UI.
This isn’t just about categorisation, it’s foundational.
Why it matters
Tagging adds context. It gives structure to an otherwise flat list of sales. It means you can now view groupings of related domains, not just by string similarity, but by industry or intent.
- Want to see all UK domain sales in the Finance space? You can.
- Want to isolate Travel domains, or Health, or anything else? Now possible.
- The tagging also lays groundwork for more advanced functionality: filtering, search clustering, valuations, and relevance scoring.
Coverage
Most domains are tagged automatically based on word segments. Obvious keywords like loan,
holiday, clinic, law, etc., are cleanly mapped. Acronyms, brandables, and
LLL & NNN domains are a bit trickier, and may remain untagged for now (unless contextually obvious). A
breakdown of coverage stats will be published soon.
What this enables
More than just a UI filter, tagging improves:
- Discoverability: finding related domains and sales across word variants
- Valuation: grouping similar sales by category for better comps
- Trend analysis: spotting movement across sectors
- Context: understanding what types of domains are selling and where value clusters
It also makes it easier to work with brandables and coined terms, where the value isn’t always obvious from the string alone.
This is version one, and there’s plenty of refinement to come. But it’s a meaningful step towards making domain data more navigable, more comparable, and more useful.
If you spot anything that looks off (a domain tagged incorrectly, or missed altogether), please do get in touch, as those edge cases help improve the logic going forward.