CRE
Screen the whole UK against your site criteria in one call.
Compound, multi-signal ranking across every neighbourhood, scoped to a country or a local authority. Find the areas most like your best-performing site, and replay the same screen next quarter for a comparable answer.
What a site team leans on
Four moves the committee understands.
Find the peers of your best site, score the commercial profile, screen at any scope, and replay the whole thing next quarter.
Areas like your best store
Give it your top-performing catchment and get its nearest matches by signal signature.
The commercial profile
The business profile's seven dimensions, re-weighted for site selection: crime, deprivation, property, schools, amenities, transport and environment.
Screen at any scope
Rank across a whole country, or narrow to one local authority. ONS-backed boundaries, no fake polygons.
Replay it next quarter
Every shortlist echoes its plan. Save it, run it again on refreshed data, get a comparable answer.
Why the shortlist survives committee
A shortlist you can put in front of the board.
The property committee asks how the list was made and whether it holds next quarter. The answer is in the response.
Same shortlist next quarter
The same plan against the same data returns the same rows. The criteria live as JSON, not a spreadsheet.
One round trip
Compound screening is a single call, not a chain of vendor joins reconciled by hand.
Honest across borders
Percentiles are ranked within each nation. We never manufacture a cross-border rank that would not hold up.
Frequently asked
Questions a site-selection analyst asks first.
How many catchments can I screen at once?
One query ranks the whole country and returns up to 1,000 rows per call, with a default of 100. Each result row carries its area code, so you can pipe the shortlist into the area endpoint for a full profile on the ones that make the cut.
Can I use my own commercial weighting?
Yes, within the business profile's seven dimensions: Crime, Deprivation, Property, Schools, Amenities, Transport and Environment. You re-weight them per request, or save a per-org profile and reference it by id. You re-weight, you do not redefine.
What about catchments that are not neighbourhood-shaped?
Approximate the catchment as a list of area codes and save it as a cohort, then constrain the peer search to that set. Or resolve a few representative postcodes inside the catchment and aggregate client-side. The neighbourhood-by-month grain is the floor; custom polygons are not on the roadmap.
Where does footfall come from?
We surface the proxies (residential density, retail amenity counts, transport-station counts) through the business profile. We are not a mobile-footfall vendor. Most CRE teams already have one; OneGoodArea is the deterministic area-context layer underneath it.
One typed query against the whole UK.
Replace the spreadsheet join with a versioned plan, find the peers of your best-performing catchment, and score with weights the property committee can sign off.