Do they own their home?
Yes, Likely or Unlikely, with the % owned.
Home & energy · open data insight
Who owns their home, whether it is off mains gas, what broadband it can get, who moved in last month. The data to answer all of that has always been in UK open data. Hyper-Geo's algorithms turn it into answers and append them to every contact, so your offer fits before it lands.
DL8 3HQ
Askrigg, North Yorkshire
21
Insights for this sector
Each with its own confidence
20+
UK data sources
Official and public, combined into one view
1.8m
Live UK postcodes
England, Wales, Scotland, Northern Ireland
100k
Contacts per job
Insight appended in minutes
Open data, brought to life
Type it in plain English. We will tell you straight whether we can answer it from UK open data, how our algorithms work it out, and exactly what gets appended to every contact.
Or pick insight we already append
Built for
The reality
Renters can't replace windows or fit a heat pump. Flats rarely take solar. A home on mains gas is no use to an oil or LPG supplier, and a street without full fibre can't take your fastest package. Without knowing the property, every lead looks the same until it turns out not to be.
01
Landlords decide, not the person who filled in your form.
02
Job size, build era and glazing decide the quote. Most lists don't carry any of them.
03
New movers choose their energy, broadband and home cover in the first few weeks. Most lists can't see who has just arrived.
What it changes
01
Prioritise owner-occupied streets and leave the rented ones for a different message.
02
Energy ratings, single glazing, mains gas and solar fit point you at the homes most likely to act on energy.
03
Broadband speeds and full fibre coverage at every postcode, so you only offer what the home can actually get.
04
Recent sales are when people renovate and pick new energy, broadband and cover. Know where they are happening.
The insight we append
Each one is built from UK open data by our own algorithms. Swipe through them and open any to see where it comes from, how our algorithms work it out, step by step, and the model we use. Every answer arrives with its own High, Medium or Low confidence, and you pay only for the insight you tick.
Yes, Likely or Unlikely, with the % owned.
% rented.
% households with children.
Yes or No.
Band A-E.
Gigabit, Ultrafast, Superfast or Slow. Useful for smart home, home office and EV charger installs.
Median sale price over 5 years, and % versus the local authority.
Detached, semi, terraced or flat.
S, M or L, from floor area.
Typical build era.
Driveway likelihood %.
Likely or Unlikely.
Yes or No.
High, Some or None, with the last sale date.
Long-stay, Mixed or Churn area.
Likely, Possible or Unlikely.
High, Medium or Low, from single glazing and age.
Yes or No, from energy ratings.
Yes, Maybe or No.
Yes or No.
Needs your showroom list.
A real example
Three real postcodes run through the platform. Where energy certificate or sales data is thin, the confidence says so.
| postcode | homeowner | property_type | build_era | window_need | energy_upgrade | recent_movers | confidence |
|---|---|---|---|---|---|---|---|
| LS17 0AD | Yes | Detached | before 1900 | Medium | Yes | None | High |
| HG1 2QS | Likely | Terraced | 1996 to 2002 | Medium | No | Some | High |
| SO15 2JN | Yes | Flat | 1950 to 1966 | High | Yes | High | High |
Scroll the table sideways on a phone. The full file has one column per insight and one confidence column for each.
How it works
01
CSV or Excel, up to 100,000 contacts. Names and postcodes are all we need. Anything else you carry through stays yours.
02
Pick your sector and tick the questions you want answered. We have already worked out how to answer each one. Choose how closest is measured: straight line, road distance or drive time.
03
Your file back in minutes with the insight added to every contact, each answer next to its confidence, ready for your CRM or campaign tool.
Your own locations
Upload your showrooms, installer depots or branches with your customer list. Hyper-Geo finds the closest to every home, by straight line, road distance or real drive time, and appends the details you choose. Invite people to the showroom they will actually visit.
| contact | branch_1_name | branch_1_drive_min | branch_1_miles | branch_1_phone | branch_2_name | branch_2_drive_min |
|---|---|---|---|---|---|---|
| Sarah Holt | Leeds North | 14 | 6.2 | 0113 496 0000 | Harrogate | 21 |
| James Barker | Guildford | 9 | 3.4 | 01632 960 000 | Woking | 17 |
Closest, measured properly
For one in five UK postcodes, the closest petrol station by road is a different one from the closest as the crow flies. Rivers, estuaries and motorways see to that. Choose how closest is measured, job by job.
As the crow flies. Fast and fine for broad targeting. Drive times shown are estimates.
The nearest place by the actual distance you would drive, on the full UK road network.
The nearest place by how long it takes to get there. The most accurate answer to "closest".
Where the insight comes from
Access is by approved work domain. Tell us who you are and we will set up your company, agree a rate and append insight to your first 200 contacts free.
Request access