Digital PR market size in England: what official data can and cannot show

Mistake: Calling a modelled figure official

The costliest error is presenting a modelled amount as an official figure for England. The ONS releases a reader would check first, Business Demography, UK Business: Activity, Size and Location and the Annual Business Survey, report by SIC code and none isolates digital PR spending, so a precise headline can be mistaken for measured evidence and used to steer budgets or agency planning without a verifiable basis.

Digital PR combines earned coverage with link acquisition, but that connection does not make published commercial context a measure of the service. English context can frame discussion; it cannot establish an official total or fill the gap in observed spending data.

Fix: state clearly that no published England total exists, label any calculation as an estimate, and show the source data beside each assumption. Keep the distinction visible in the headline and any summary, rather than relying on a caveat several paragraphs later to correct an overconfident claim.

Mistake: Treating a broad category as the market

Official business statistics are built on the Standard Industrial Classification 2007 (SIC 2007). Public relations has a code, class 70.21, "Public relations and communication activities". Digital PR has none. Firms that sell it may register under 70.21, under advertising agencies (class 73.11), or under unrelated codes such as management consultancy or web activities.

That is why ONS counts by SIC code cannot isolate digital PR. A count for class 70.21 includes traditional media relations, investor relations and crisis work, and it misses digital PR firms registered elsewhere. ONS tables that report by SIC, such as Business Demography and UK Business: Activity, Size and Location, carry the same limit.

Use the Code of Practice for Statistics to explain why a measure needs clear scope, not to turn a broad category into a specialist-market estimate. The category cannot distinguish the different business models or identify revenue earned specifically from digital PR.

Fix: describe the classification's limits and leave its totals out of an England digital PR market calculation. It may provide background about a wider industry, but it does not supply a count of digital PR businesses, purchasers or spending that can support the headline figure.

Mistake: Mistaking business births for confirmed buyers

Counting business births as confirmed buyers turns a proxy into an unsupported demand figure. The ONS business demography series records UK business births and deaths; it does not identify which new enterprises hire agencies, buy PR or pay for link acquisition.

The series can indicate possible buyer supply, but its UK-wide scope and business measures do not reveal agency purchases. Neither births nor deaths show expenditure on outside support, and the data does not identify firms as digital PR clients. Treating the recorded measure as a buyer count would overstate what it observes.

Fix: call business births a proxy, state that the evidence is UK-wide, and explain that buyer identity and digital PR expenditure are not observed. Keep the measure in context only; do not present it as an England-only count of businesses that buy digital PR.

What the official figures do show

The ONS Business Demography release for 2023 reports 316,000 UK business births, down from 337,000 in 2022. The birth rate fell from 11.5% to 11.0%. It covers enterprises registered for VAT and/or PAYE, so very small unregistered firms are missing from the count.

Its regional table gives births for each English region. Adding the nine regions gives roughly 281,000 births in England in 2023. That total is our own sum of rounded regional figures, not an ONS headline. London is the largest region at 75,000 births, then the South East (43,000) and the North West (33,000).

These are counts of new businesses. They size a possible pool of first-time buyers and nothing more. The scenario below needs a take-up rate and a fee, and no ONS series supplies either.

Mistake: Turning scenario arithmetic into observed turnover

A tidy calculation can make unsupported assumptions look like measured revenue. Multiplying a guessed take-up rate by an assumed fee creates an illustrative amount, but it does not establish how many firms buy external PR or how much they spend in England.

One city-region illustration starts with 3,000 newly registered companies in a year, assumes 2% buy external PR support (60 firms) and applies a first-year engagement cost of £3,000. That produces a rough £180,000 pool. The 3,000 starting figure is invented for the example, not a Companies House count, and neither the take-up rate nor the fee is sourced.

Fix: label every input as an assumption and call the result an illustration, not market turnover. Keep the arithmetic visible so a reader can see which parts come from recorded measures and which depend on judgement. Do not let a precise-looking result imply that the underlying purchases have been observed.

Mistake: Treating professional frameworks as spending records

A professional framework can describe market capability, but it cannot measure market size. The CIM Global Professional Marketing Framework offers context about marketing capabilities; it is not a record of digital PR revenue or a count of purchasers, and it does not show what clients spend on external support.

Keep CIM and CIPD material on the people and capability side. Such frameworks can describe professional roles and practice, while service standards can help explain expected delivery. None of these materials supplies purchase evidence or a total for England's digital PR market.

Fix: use professional material to describe capability, and state that it is not evidence of spending. For reporting hygiene, follow the quality standards in the Code of Practice for Statistics and record model assumptions separately from market-size evidence.

Mistake: Presenting regional patterns as measured shares

Naming locations without evidence for their shares can make a qualitative pattern sound like a measured distribution. A statement about agency presence or likely demand does not establish how much digital PR is bought in a city, or what proportion of England's spending that city represents.

The regional birth counts above do put London first for new businesses, but they say nothing about spending, and Manchester and Birmingham sit inside larger regions. Treat any city ranking beyond that as an assumption to test. The ONS table UK Business: Activity, Size and Location counts business units by region and SIC class, which is where a reader can check where PR-classified firms sit. It still says nothing about spending.

Sector claims need the same care. Ecommerce, financial services and professional services are often described as heavy buyers of link acquisition because search visibility can convert directly for them. No official series confirms that, so present it as a hypothesis for the reader to check against their own client data.

Fix: describe geography and sectors as context, not percentages or a calculated market split. Use demand signals to inform planning, while making clear that agency density and local sector mix do not provide a city-level spending total.

Mistake: Letting a client claim conceal its assumptions

A polished client claim can hide assumptions about geography, buyer numbers or spending. Readers may take an estimated share for observed data, even when the underlying source records only UK business births and deaths and says nothing about digital PR purchases.

The problem is not modelling itself, but presenting a proxy or judgement as though it were directly measured. Separate sourced evidence from agency judgement, and make the status of each figure clear wherever the claim appears.

Fix: cite the observed measure, identify it as UK-wide, and label any England allocation or purchase rate as illustrative. Client metrics and measurement errors can help keep proxy movement from being presented as commercial performance.

Mistake: Substituting population counts for spending

Business population estimates and company registrations describe businesses, not which firms buy PR. Replacing an expenditure measure with one of these counts changes the question rather than resolving it; neither a population total nor a registration count demonstrates purchasing behaviour or supplies digital PR revenue.

Business births and deaths can indicate a possible buyer pool, while professional frameworks describe capability. Neither observes purchases. Keep regional patterns qualitative, retain the limits of each source, and show the method instead of implying that a count of businesses is a measure of market demand.

Fix: keep evidence visible and avoid presenting a proxy as market measurement. Benchmark research should carry its evidence and caveats alongside any estimate, so readers can distinguish the recorded information from assumptions used to discuss England's market.