When you think about commercial property data, what comes to mind? Square footage, rental values, location coordinates, and rateable values probably top the list. And for good reason — these physical and financial attributes form the bedrock of property analysis.

But there’s a dimension that’s been chronically under-served, under-utilised, and frankly, undervalued. We’re talking about Commercial Occupant Intelligence — the who, what, and how behind the businesses that actually occupy the properties. It’s a new discipline sitting at the intersection of occupant analytics, business footprint intelligence, property-linked firmographics, and compliance-enhanced property insight.

In our Commercial Real Estate dataset — covering 2.5 million+ commercial properties across the whole of the UK — we go far deeper than the bricks and mortar to deliver a complete occupant due diligence solution.

Here’s why Commercial Occupant Intelligence matters for compliance, portfolio management, and marketing.

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Compliance: Beyond the Rateable Value

Several organisations can tell you the business rates on a property. But understanding who is operating there, how long they’ve been there, and whether they’re playing by the rules? That’s where true occupant insight lives.

Our dataset delivers best-in-class occupant compliance data by tying directly into Companies House, offering a layer of governance intelligence that’s almost impossible to find elsewhere:

• 2.43 million properties with Companies House compliance flags — we’ve already connected the dots
• Company registration numbers, SIC codes (primary and secondary), and disqualified director screening built into every record
• 6,478 properties identified where disqualified directors are linked to the address
• A boolean compliance flag (companies_house_compliance) — instantly assess occupant risk

For compliance teams, this means you can:

• Instantly screen occupiers for regulatory fitness using occupant vetting workflows
• Identify properties where disqualified directors may be operating — a game-changer for KYB (Know Your Business) and AML (Anti-Money Laundering) obligations
• Cross-reference occupation dates and company longevity — is this a fly-by-night operation or an established enterprise?
• Leverage FSA hygiene scores, gambling license types, and SIC-coded business activity for sector-specific compliance checks

Most data suppliers give you the property shell. We give you the occupant’s regulatory fingerprint — true Commercial Occupant Intelligence.

Portfolio Management: Seeing the Full Picture

Managing a commercial property portfolio without occupant behavioural data is like managing a fleet of cars without knowing who’s driving them. You’re holding risk you can’t see.

Our dataset delivers 1.8 million+ properties with named occupants, spanning over 1 million unique businesses. Here’s what that unlocks for occupant-led portfolio analytics:

Rental & Financial Vigilance

With average rental values of £33,210 and properties ranging from tiny lock-ups to sprawling industrial estates, knowing the occupant’s estimated turnover, their occupation history (average tenure tracked in years), and whether they’re the owner-occupier (330,531 identified) or a tenant, allows for:

• Occupant credit assessment: Is the occupant’s business turnover commensurate with the rent?
• Tenure stability scoring: How long has the occupant been there? (Tracked down to the year using n_years_occupant_address)
• Rental valuation benchmarking: Use average_cost_m2_rent across similar property sub-categories to spot under- or over-performing assets
• Occupant-to-property fit analysis: Does the space match the business needs?

Space Utilisation Intelligence

Our data includes granular internal space breakdowns — we map out exactly how occupants use their space in square metres:

{"Production Area": 947.2, "Workshop": 473.6, "Office": 129, "Warehouse": 441.8, "Internal Storage": 1763.8}

Need to know if a property is under-utilising its warehouse space compared to others in the same sub-category? Can you reallocate or subdivide based on actual usage patterns? This is occupant-level spatial analytics at its finest.

Portfolio Rationalisation

By cross-referencing occupant_sic_code_1 and occupant_sic_code_2 across your portfolio, you can quickly identify sector concentration risk. Are you over-exposed to Manufacture of other furniture or Motion picture projection activities? 512 distinct sub-categories and 120 key property category descriptions mean you can segment and analyse with surgical precision using occupant segmentation models.

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Marketing: Find, Reach, and Win the Right Occupants

In commercial property marketing, knowing your audience isn’t just a nice-to-have — it’s everything. And with Commercial Occupant Intelligence, you can go from broad-brush targeting to micro-segmentation powered by business-level data.

Target by Business Type

Our dataset covers almost every conceivable commercial operation, making occupant prospecting a data-driven science:

Category	Example
Industrial	Factories, Bakeries, Workshops, Warehouses
Retail	Shops, Showrooms, Car Showrooms, Supermarkets
Hospitality	Hotels, Restaurants, Pubs, Cafes, Casinos
Leisure	Cinemas, Theatres, Gymnasia, Bowling Alleys
Health	Hospitals, Clinics, Nursing Homes, Veterinary Practices
Education	Schools, Colleges, Universities, Training Centres
Transport	Car Parks, Bus Stations, Lorry Parks, Petrol Stations
… and hundreds more

If it has a rateable value, we’ve categorised it and named the occupant. That’s occupant attribution at scale.

Pinpoint Expansion Targets with Occupant Lookalike Modelling

Looking for a specific type of business to fill a vacancy? Use real-world occupant data to build lookalike audiences:

• Search by SIC code to find similar businesses in your region using commercial occupant intelligence similarity scoring
• Filter by location size (average: 355 m²), seating capacity, number of floors, and even basement presence
• Identify multi-occupant properties via n_companies_registered_at_address — perfect for co-working and shared-space opportunities
• Examine floor-level breakdowns — ground floor retail with upper offices? We track that

Direct Marketing That Actually Works

With registered addresses, company numbers, and occupant names at your fingertips, you can build occupant-targeted campaigns:

• Run targeted marketing to businesses in specific sectors within commuting distance of your property
• Identify businesses that outgrew their current space based on location size vs. estimated turnover — a classic occupant expansion trigger
• Build prospect lists from actual real-world occupancy data, not modelled estimates
• Use occupant_source to understand how each occupant was identified (Ratepayer, Registered Address, etc.) and prioritise accordingly

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What Makes Commercial Occupant Intelligence Truly Unique?

There’s a lot of property data out there. So what sets Doorda’s Commercial Real Estate data apart as the definitive commercial occupant intelligence platform?

1. Occupant-Centric by Design

Most property datasets are built for valuers, not for business analysts. They focus on the asset. Ours focuses on the occupant — a fundamental distinction. You get occupant name, company number, occupation date, occupation source, occupant type (owner or tenant), and commercial owner information all in one unified record. It’s occupant-first data architecture.

2. Deep Companies House Integration — Occupant Due Diligence Built In

We don’t just tell you who’s there — we assess them. n_companies_registered_at_address, n_registered_appointment_at_address, n_disqualified_directors, and a compliance boolean — everything you need for occupant risk scoring and regulatory profiling.

3. Sub-Property Granularity — Occupant-Level Spatial Breakdown

Our location_internals_m2 and location_internals_count maps break down how a property is actually used — production areas, workshops, offices, warehouses, storage, retail areas, parking spaces, and more. This is bespoke, property-level occupancy data that’s rarely available at this scale.

4. Temporal Intelligence — Occupant Tenure Tracking

With occupation_date, change_date, and n_years_occupant_address, you can build a timeline of occupancy — vital for understanding occupant churn patterns, lease history, and tenant loyalty metrics.

5. Four Nations Coverage — Multi-Jurisdictional Occupant Data

We cover England, Wales, Scotland, and Northern Ireland across 157 local authorities and 520,197 unique postcodes. No patchy coverage. No data deserts. True national-scale occupant intelligence.

6. Unmatched Classification Depth — Granular Occupant Taxonomy

120 key property categories and 512 sub-categories — from “Abattoirs & Slaughter Houses (Rental Valuation)” to “Zoos & Safari Parks.” This isn’t a one-size-fits-all taxonomy; it’s a classification system built for occupant-driven property segmentation.

7. Regulatory & Compliance Layer — Commercial Occupant Intelligence Screening

FSA hygiene scores, gambling licenses, disqualified director flags, Companies House compliance checks — this is data that regulatory teams, insurers, and risk analysts can act on immediately as part of a comprehensive occupant due diligence framework.

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Putting It All Together

Whether you’re a compliance officer trying to ensure your portfolio is free from regulatory risk, a portfolio manager seeking to optimise returns and reduce exposure, or a marketing professional looking for the next great tenant, Commercial Occupant Intelligence transforms commercial property data from a static asset register into a living, breathing business intelligence platform.

The 2.5 million properties in our dataset aren’t just addresses — they’re businesses. They’re employers. They’re tenants. They’re regulated entities. They’re opportunities. And with occupant analytics, property-linked firmographics, and compliance-enhanced property insight all in one place, you can finally see the full picture.

And with our Commercial Real Estate dataset, you don’t just see the property.

You see the people inside it.