How to build a B2B demand generation market outlook when no forecast exists

Sector footprint: locate a usable base

Treat sector data as a proxy, not a total: demand generation has no dedicated SIC code, since agencies, in-house teams, freelancers and software vendors sit in separate classifications. No official England growth figure exists for the category; the market-size discussion explains that boundary.

Take, as an illustration, a Manchester agency with six retained clients across manufacturing, professional services and software. A client asking for its 2027 outlook still needs an evidence-based answer, even though no published England forecast exists. Sector data can provide a defensible starting point, provided its limits are clear.

Use England rows in UK Business Counts, the Business Register and Employment Survey (BRES) and the Annual Business Survey (ABS). These provide enterprise and local-unit counts, employment, turnover and approximate gross value added by SIC code; record the reference period beside each figure and do not mix periods. As a guide, UK Business Counts is a snapshot of the business register taken in March, BRES counts employment as at September, and ABS covers a financial year. This article gives the method, so it uses illustrative figures, not published counts.

For an England view, select sections matching paying clients: Section C for manufacturing, Section M for professional, scientific and technical activities, and Section J for information and communication, including software development under 62.01. Weight the client pipeline against those sector counts, rather than claiming they measure demand generation itself.

Pipeline evidence: test commercial fit

Sector counts indicate the scale of businesses in relevant industries, but they do not show what the agency can win. Choose the target audience it serves, write down the SIC codes, and compare that base with its own client and opportunity records.

Export CRM records by client sector, then compare closed-won revenue, average deal size, sales cycle length and win rate. These measures show how demand has converted for the agency, rather than relying on a broad external forecast. Keep the underlying assumptions visible alongside the figures.

Revenue allocation: translate weights into capacity

A revenue target becomes more useful when split across sectors and checked against actual account economics. Suppose the agency sets a £900,000 target in new retainer revenue for the next financial year, using England Business Counts shares for Sections C, M and J, adjusted to reflect its own client mix.

To see where weights like these come from, suppose, purely for illustration, that England counts for the relevant SIC groups are 12,000 manufacturing enterprises, 10,500 professional services and 7,500 software, a total of 30,000. Their shares are 40, 35 and 25 per cent. Use your own counts from the latest release.

Manufacturing takes 40 per cent, or £360,000; professional services takes 35 per cent, or £315,000; and software takes 25 per cent, or £225,000. Those allocations make the plan inspectable: each line has a stated weight rather than an unexplained market-growth assumption.

In this illustration the agency's CRM shows an average manufacturing retainer of £3,000 a month, so the £360,000 allocation calls for ten clients running all year, or a combination of new wins and expansion. Retainer pricing models provide separate commercial context, but the planning test here is capacity against the agency's own target.

Contactable reach: keep compliance in the model

An outlook should account for whether the agency can lawfully reach the contacts behind its pipeline assumptions. Check the data protection approach before scaling spend, because consent, lawful basis and suppression practice affect how much contact data can be used.

UK GDPR sets the lawful basis for processing personal data, while PECR governs electronic marketing and cookies; the ICO is the regulator. Review ICO consent guidance alongside suppression lists. DMA members can also raise specific questions with the DMA legal helpdesk and check its Code for direct marketing standards.

Revision conditions: specify what changes the view

Agree the events that require a revision before the outlook is approved. That prevents a change being driven only by a client request, and gives the risk scenarios a defined connection to planning rather than leaving them as general concerns.

For each trigger, record an owner and review date, then revisit the assumptions in a scheduled session when it fires. Track ONS release dates alongside client wins, since both can affect planning cycles. A measurement and reporting routine can help keep those reviews tied to evidence.