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Audience research

The official data a Leeds content agency brief should cite

Hiring content strategy services in Leeds? See which ONS, Companies House and council data an agency's audience brief should cite, and how to check the agency.

What to take away

  • Content strategy services in Leeds get their strongest briefs from three free sources: ONS business datasets, Companies House filings and Leeds City Council open data. When you hire an agency, ask which of them its audience evidence cites.
  • ONS business counts by SIC code give you Yorkshire market sizing without buying a panel.
  • The same Companies House register lets you check the agency itself before you sign.
  • Companies House filings settle who a competitor or supplier actually is, and when accounts were last filed.
  • Leeds City Council open data covers local licensing, planning and demographics that national datasets miss.

Why Leeds content research needs official data

Leeds is a digital and financial services centre with a large public sector, legal and ecommerce base.

Official data gives you three things a competitor's blog cannot. It gives counts you can defend, definitions you can quote, and a reference period that tells the reader how fresh the evidence is.

That matters most when you are choosing an agency. If you are comparing content strategy services from Leeds providers, ask each one where the audience numbers in its proposal came from. "We looked around" is not an answer, and the sections below show what a good answer names.

Free data also beats paid panels on cost for early scoping. If you are weighing the two, the comparison of ONS, Google Trends and paid options is worth reading before you commit budget.

There is a legal dimension too. Anything you publish about market size, green claims or endorsements sits under the CAP Code and CMA guidance. Starting from official statistics reduces the risk of an unsupported claim.

ONS business datasets for Yorkshire market sizing

The core dataset is UK business: activity, size and location, published by the Office for National Statistics. It counts businesses by SIC code, size band and region. The dataset title is exact: UK business: activity, size and location.

The ONS dataset page sends users to NOMIS for detailed analysis: choose the query data option, then UK Business counts from the list. An agency that has done this work can tell you the query it ran.

Sizing a Yorkshire market

  1. Pull ONS counts for manufacturing SIC codes
  2. Filter to Yorkshire and the Humber
  3. Split results by employment size band
  4. Keep sites large enough for energy contracts
  5. Cross-check against Companies House records
  6. Write the brief

That combination is what makes SIC code market sizing possible. Filter to Yorkshire and the Humber, pick the SIC codes that match your client's buyers, and you have a defensible count of potential accounts.

Size bands matter as much as totals. A market of 4,000 businesses sounds large until you see that most sit in the smallest band and buy almost nothing. Split the count before you write the headline.

The wider business data collection at the ONS covers turnover, output and industry structure. Use it when you need to show demand rather than just headcount.

A worked example

Say a Leeds agency is pitching to a commercial energy broker targeting manufacturers in West Yorkshire.

  1. Pull the ONS business counts for the relevant manufacturing SIC codes, filtered to Yorkshire and the Humber.
  2. Split the results by employment size band and keep only sites large enough to have an energy contract worth brokering.
  3. Cross-check the surviving count against a sample of Companies House records for trading status. The Companies House register holds over 5 million companies, so sample rather than check every record.
  4. Write the brief with the dataset name, the SIC codes used and the reference period.

The resulting number will be smaller than the raw total. It will also survive scrutiny, which the raw total will not. This is the trail to ask an agency to show you: dataset, codes, geography and period.

Companies House filings for competitor and client checks

Companies House is the UK register of companies, and its GOV.UK pages explain what is filed and how to search it. For content work, it answers three questions quickly.

The two most useful records are the filing history and the people with significant control register. Search by company name or company number.

First, does the company exist and is it trading under the name you plan to use? Second, who are the directors and what other appointments do they hold? Third, when were accounts last filed, and does that suggest growth, stalling or dormancy?

Director appointments are the most underused field. A director with six other active appointments across Leeds and Bradford tells you something about the buying centre that a website never will.

Use filings for competitor mapping as well. If two brands in your client's sector share a parent or a registered address, treat them as one buyer, not two.

Filings also support vendor due diligence before you sign a supplier. Check the registered name against the trading name on the invoice, and confirm the company is not in the process of being struck off.

A short checklist

Companies House pre-contract checks

  • Registered name matches contract trading name
  • Accounts filed within expected period
  • Director appointments reviewed for conflicts
  • Registered address checked against operating address
  • Any recent name change noted
  • Search the Companies House register by company name or company number.
  • Open the filing history and check the latest accounts and confirmation statement.
  • Confirm the company status is active, not dormant or proposed for strike off.
  • Review the directors and the people with significant control register.
  • Check the registered office address and any previous company names.

Checking a Leeds content agency on Companies House

Run the same five checks on the agency you plan to hire. A limited company's record shows whether it is active, who its directors are and whether its accounts are up to date, which tells you more about continuity than a case-study page.

Look at the nature of business too. Companies House classifies companies by SIC code, and its list includes 73110, advertising agencies, and 70210, public relations and communications activities. A content agency may sit under either code or a different one, so treat the code as a clue to how the business describes itself, not as proof of what it does.

Match the registered name with the name on the proposal and, later, the invoice. If the agency subcontracts writing or design, ask which companies do that work and check them in the same way.

Leeds City Council open data in practice

Leeds City Council open data covers the local layer that national statistics cannot reach. Planning applications, licensing registers, waste and environmental data, and ward-level population figures all sit within it.

The open data portal names these as planning applications, licensing registers and ward population estimates.

Planning applications are the most useful for content planning. A cluster of applications in one ward tells you where commercial activity is moving before the trade press notices.

Licensing data does similar work for hospitality and retail. Premises licences, late-night refreshment licences and street trading consents give you a live count of venues by area.

Ward-level data lets you write about specific parts of the city rather than Leeds as a single blob. That is what separates a real local brief from a city name dropped into generic copy.

Combine the council layer with national counts. Council data tells you what is happening on the ground; ONS data tells you how that compares with the wider region.

Turning datasets into credible audience evidence

Raw counts are not Yorkshire audience evidence. Evidence is a count, a definition, a geography and a reason the reader should care.

Follow the ONS statistical methodology guidance when you write up findings. It sets out how the ONS defines, collects and quality-assures its data, and it gives you the vocabulary to describe limitations honestly.

State the geography precisely. "Yorkshire and the Humber" is a region; "West Yorkshire" is a combined authority area; "Leeds" is a local authority district. They produce different numbers from the same dataset.

Say what the data cannot tell you. Business counts include dormant and non-employing entities, so they overstate active trading. Naming that limitation makes the rest of your analysis more credible.

If you are new to this kind of work, a general guide to audience research for UK content teams covers the wider method, including qualitative layers that sit alongside official statistics.

Finally, before any figure reaches a client deck, check the data source for its publication date and revision history. ONS series get revised, and a number quoted from an old release can be quietly wrong.

A repeatable sequence

From dataset to audience evidence

  1. Define the question the brief must answer
  2. Choose the dataset that fits the question
  3. State the geography precisely
  4. Name what the data cannot tell you
  5. Check publication date and revisions
  1. Define the audience question and the geography before you open any dataset.
  2. Pull the ONS business count for the chosen SIC codes and split it by size band.
  3. Verify a sample of those businesses against the Companies House register.
  4. Add the Leeds City Council open data layer for planning, licensing or ward detail.
  5. Write the figure with the dataset title, geography, reference period and a limitation note.
  6. Check the publication date and any revision before the figure goes into a deck.

Common mistakes when citing ONS and Companies House

Quoting a total without splitting it by size band?
A headline count of businesses in a sector includes sole traders and dormant entities. It overstates the addressable market and invites challenge.
Mixing geographies in one paragraph?
Switching between Leeds, West Yorkshire and Yorkshire and the Humber within a single argument makes the numbers incomparable. Pick one and stay with it.
Treating a Companies House record as proof of trading?
The register shows filings, not commercial activity. A company can file on time and still be dormant.
Ignoring the reference period?
ONS business counts are published annually and lag the present. Always state the period so readers can judge freshness.
Citing a dataset second-hand?
Referencing a figure you found in someone else's article, rather than the dataset itself, means you inherit their errors and cannot check the definition.
Forgetting the legal layer?
Claims about market position or environmental benefit fall under ASA and CMA rules. Statistical evidence helps, but the wording still has to be accurate.

Common questions

Where do I start with ONS business data for a Leeds brief?
Start with UK business: activity, size and location, filter to Yorkshire and the Humber, and select the SIC codes that match your client's buyers.
Is Companies House data enough to size a market?
No. It shows registered entities and filings, not trading activity or revenue, so use it to verify and enrich rather than to count a market.
What is Leeds City Council open data best used for?
Local detail: planning applications, licensing registers and ward-level figures that national datasets do not publish at that granularity.
How do I cite an ONS figure properly?
Follow the evidence section's citation fields and record the access date.
Do I need a paid panel as well?
Not for market sizing. Paid panels help with attitudes and behaviour, which official statistics do not measure.
How often should the numbers be refreshed?
Check the publication schedule for each dataset. Annual business counts should be refreshed when a new release lands, not left to age in a deck.

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