Documentation
🧾 Data Product: UK Company Insights Summary – Landscape & Socioeconomic Segmentation
This dataset is a goldmine for marketing strategy, especially if you’re targeting B2B campaigns, regional outreach, or sector-specific growth. Here’s a workbook-style breakdown of the marketing benefits you can extract:
📊 1. Hyper-Targeted Campaigns by Sector & Subsector
- Fields: GDPSECTOR, INDUSTRY, SUBSECTOR, SECTORGROWTH
- Benefit: Segment audiences by economic sector and growth trajectory.
- Example: Focus campaigns on “HIGH” growth sectors like waste remediation (39000) or IT consultancy (62020).
- Avoid overspending on “DECLINE” sectors unless offering turnaround solutions.
🗺️ 2. Regional and Local Authority Insights
- Fields: COUNTRY, REGION, LOCALAUTHORITY
- Benefit: Localize messaging and tailor offers to specific geographies.
- Example: Promote business services in Gloucester, which shows active trading across multiple sectors.
- Use regional density (e.g., 15 active IT firms in Teignbridge) to prioritize outreach.
🧮 3. Company Lifecycle Targeting
- Fields: AGEBAND, COMPANYSTATUS, TRADINGSTATUS, STARTUPCOMPANIES
- Benefit: Align messaging with company maturity and operational status.
- Target startups with growth tools, funding, or SaaS onboarding.
- Engage older trading firms with efficiency upgrades or compliance solutions.
🏢 4. Business Type and Category Filtering
- Fields: COMPANYCATEGORY, COMPANYSTATUS
- Benefit: Focus on Private Limited Companies that are actively trading.
- These are more likely to respond to B2B offers, partnerships, or procurement solutions.
📈 5. Demand Forecasting and Market Sizing
- Fields: NOCOMPANIES, ACTIVECOMPANIES, TRADINGCOMPANIES
- Benefit: Quantify market potential per subsector and region.
- Example: Hair & beauty in Tendring (11 trading companies) vs. niche sectors like conference centre rental in Wandsworth (1 company).
🔍 6. Competitive Intelligence and White Space Identification
- Use Case: Identify underserved regions or sectors with few active companies.
- Example: Only 1 company in Westminster for mining support (09900) — potential for disruption or niche services.
🎯 7. Persona Development for Messaging
- Combine SECTORGROWTH, AGEBAND, and TRADINGSTATUS to build personas:
- “Young, high-growth IT consultancy in South West England”
- “Established, low-growth manufacturing firm in Scotland”
🧠 Strategic Applications
| Use Case | How This Data Helps |
| Email segmentation | Filter by region, sector, and trading status |
| Paid media targeting | Focus on high-growth subsectors and active regions |
| Sales territory planning | Prioritize areas with dense trading activity |
| Product-market fit analysis | Match offerings to sector maturity and company age |
| Event planning | Host region-specific webinars or expos based on company clusters |
The data dictionary is explained in the table below with examples that you can expect in the dataset.
Access to the data set can be via Snowflake market place or via the Dataeco platform where the data is made available utilising search dashboards to create easy downloadable extracts.
uk companies insight summary
| Field Name | Data Type | Description | Example |
|---|---|---|---|
| REFRESH_DATE | DATE | The last refresh date for the dataset | '2025-10-30' |
| GDPSECTOR | VARCHAR(200) | UK GDP high level grouping | 'Production Industries'. |
| INDUSTRY | VARCHAR(140) | Industry Name based on UK SICCODE Classifications. | 'Manufacturing' |
| SUBDIVISION | VARCHAR(140) | The Subdivision of the UK Industry SICCODE Classification. | Printing and reproduction of recorded media |
| SUBGROUP | VARCHAR(140) | The Subgroup for the UK SICCODE Classification | Printing and service activities related to printing |
| SUBSECTOR | VARCHAR(140) | The Subsection for the UK SICCODE Classification | 18130 - Pre-press and pre-media services |
| SECTORGROWTH | VARCHAR(50) | Indicator to show growth - HIGH > 10 % LOW 0-10 DECLINE < 0 | DECLINE |
| COMPANYSTATUS | VARCHAR(50) | Status of the companies activities | Active |
| COMPANYCATEGORY | VARCHAR(90) | Company Categorisation for Trading | Private Limited Company |
| TRADINGSTATUS | VARCHAR(11) | The status whether the company is actively trading | TRADING |
| AGEBAND | VARCHAR(7) | Age banding for Company - from incorporation date to last refresh date | 011-015 |
| COUNTRY | VARCHAR(150) | Country for where the company resides | England |
| REGION | VARCHAR(150) | The UK geographical region where the company is registered | West Midlands |
| LOCALAUTHORITY | VARCHAR(150) | The Local Authority where the company is registered | Coventry |
| NOCOMPANIES | DECIMAL | The total count of all companies | 5.6M |
| ACTIVECOMPANIES | DECIMAL | The total count of all active companies | 5.1M |
| TRADINGCOMPANIES | DECIMAL | The total count of all companies that are currently trading. | 4.3M |
| LIQUIDATEDCOMPANIES | DECIMAL | The total count of all companies that are in the liquidated status | 325K |
| ADMINISTRATIONCOMPANIES | DECIMAL | The total count of all companies that are in Administration status | 336K |
| STARTUPCOMPANIES | DECIMAL | The total count of all companies that are in their first 2 years. | 534K |
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