How it works
From 12 UK data sources to a single score.
terva.io combines public, licensed and proprietary data to score every residential address in the UK by intent to buy a specific home service.
The problem
You're paying too much per lead
Google Ads costs £600–£1,400 per solar customer. Shared lead brokers sell the same contact to 5 competitors. Door-knocking is expensive, slow, and unpredictable.
You're targeting the wrong addresses
Most homes in your territory will never buy your product. Without data, you're guessing which doors to knock on. Every wasted visit costs you time and money.
You don't know when someone is ready
A homeowner who just moved in needs insurance today. A property with an F-rated EPC needs solar this year. Without signals, you're always too early or too late.
The data sources
12 UK sources, all licensed or public, cleaned and joined at the address level.
| Source | What it provides | Updates | Powers |
|---|---|---|---|
| HM Land Registry | Sale price, purchase date, tenure, property type | Monthly | All |
| DLUHC EPC Register | Energy ratings, recommendations | Weekly | Solar, heat pump, insulation, boiler |
| Google Solar API | Roof area, orientation, irradiance | On-demand | Solar, battery |
| Experian Mosaic | Household segmentation, income band | Quarterly | All |
| TwentyCi | New movers, listing activity | Weekly | Insurance, broadband, security |
| PlanWire (UK Planning API) | Planning applications, decisions, addresses, coordinates | Weekly | Loft, solar, landscaping, extensions |
| Ofcom Connected Nations | Broadband speeds, coverage | Quarterly | Broadband |
| Postcodes.io | Postcode → lat/lng, LSOA, ward, constituency | Real-time | All (geocoding) |
| UK Police API | Crime category, location, outcomes within 1 mile of lat/lng | Monthly | Security, insurance |
| Companies House | Business records, directors | Daily | B2B verification |
| Environment Agency | Flood zones, risk bands | Quarterly | Flood, insurance |
| British Geological Survey | Subsidence, ground stability | Quarterly | Insurance, structural |
The scoring model
Each vertical has its own scoring weights. A solar installer cares about roof orientation and EPC rating. An insurance broker cares about new movers and property value. We tune the model for each use case.
AI scoring engine
Vertical-specific weighting
Output
Score 0–100
Per address, per vertical, updated weekly.
Built for compliance from day one.
terva.io is a B2B data intelligence platform. We sell scored address lists to businesses, not consumer data to individuals. This places us in the same legal category as Experian, TwentyCi, and Land Registry.
Our legal basis: UK GDPR Legitimate Interest (Article 6(1)(f)), as strengthened by the Data (Use and Access) Act 2025.
What this means for you
- You receive intelligence about addresses, not personal data
- You are responsible for how you contact homeowners
- We maintain a UK-wide suppression list
- We are ICO registered
- All data sources are licensed or public UK government data