Before you brief a prospecting software audience research project

What to take away

Start with the audience question

The commonest mistake is treating audience research as a validation step after you have chosen a tool. A team buys prospecting software, imports a list, sends a sequence, and only then asks who the buyers actually were. That order wastes the licence fee and the data.

Flip it. Write down the decision the research must inform before you open any vendor's pricing page. "Which job titles should we target first in England?" is a research question. "Is this tool good?" is not.

A useful test is whether you can name the action that changes if the answer surprises you. If nothing changes, the research is decoration.

Research also has a shelf life. A definition of the audience that was accurate two years ago may now describe the wrong firms, the wrong roles, or the wrong buying process. Build a review date into the brief.

Write the brief first

A one-page brief keeps a research project honest. It should state the decision, the audience sentence, the questions, the method, the sample, the budget and the owner. Anything missing from the brief tends to be invented mid-project.

Keep the brief to decisions rather than topics. "Should we lead with compliance messaging to finance directors?" is better than "Understand the finance buyer". The first can be answered. The second can absorb any amount of budget.

Circulate it to sales, marketing and whoever handles data protection. Each group will spot a gap, and the gaps cost less to fix on paper than in fieldwork.

Record what you will not research. If a question cannot change a decision this quarter, park it for the next cycle and say so.

Define the audience precisely

"B2B decision makers" is not an audience. It is a category. Narrow it with three filters: sector, organisation size, and role.

Use the business population estimates published by GOV.UK to check how many firms sit in your chosen sector and size band before you commission anything. The collection is refreshed regularly, so cite the edition you used.

For role counts, the employment and labour market statistics from the Office for National Statistics break employment down by industry and occupation. That gives you a defensible estimate of how many people hold the job title you care about.

Write the audience as a sentence: finance directors at firms with 50 to 249 staff in West Midlands manufacturing. That sentence is testable. A category is not.

If the official counts show a market of 400 firms, plan for that number. If they show 40,000, tighten the filters before you spend. A market that is too broad produces research that describes nobody in particular. A fuller method for narrowing by sector and role is set out in this guide to prospecting software target audience in England.

Desk research before paid research

Desk research is cheap and fast. Do it first so you do not pay a panel to answer something a published table already covers.

Official statistics tell you how many firms and roles exist in your chosen sector, and they are free to cite. Company registers then turn those counts into named accounts you can check.

Your own CRM holds the strongest evidence available. It shows which messages got replies and which did not, and that beats any opinion you could buy.

If you have no CRM history, say so in the brief. A research plan built on assumed pipeline data will produce conclusions nobody trusts.

The output of this stage is a short document: audience size, main sectors, likely job titles, and the gaps you still need primary research to fill. Those gaps become your interview and survey questions.

Set a time limit. Two days of desk research is usually enough for a UK-focused B2B audience. Beyond that you are refining an estimate you will refine again anyway.

Choose the research method

Match the method to the gap. Motivation and process questions need conversation. Scale and segmentation questions need a survey. Pricing questions usually need both.

For depth, run structured interviews with people who match the audience definition. A practical walkthrough of scripting, sampling and note-taking is set out in this guide to prospecting software customer interviews, which is worth reading before you book any calls.

Interview recruitment is the part teams underestimate. Reaching six people who match a narrow definition can take two weeks of email and follow-ups. Plan the recruitment channel before the script.

If you have an existing customer base, start there. Existing customers answer honestly because they have already bought, and their answers are usually more specific than a stranger's.

Write the discussion guide around the gaps in your desk research, not around your product. Questions about your own feature set produce polite agreement and very little usable evidence.

On incentives, small payments improve response rates and rarely change answers, provided you state the purpose at the start of the call. Pay after the call, and keep the payment route simple so it does not become the main topic.

For breadth, use a survey with a defined sample frame. Question wording, routing and sample size all affect whether the results are usable, and the practical constraints are covered in this piece on prospecting software survey tools in England.

Do not run both at once. Finish the interviews, analyse them, then design the survey around what you heard. Findings from interviews become survey options, which is how you measure how common each pattern is.

Size the market with platform data

Platform audience estimates are useful for sizing, not for truth. They tell you how many people a given set of filters reaches, which is a proxy for market size rather than a census.

LinkedIn publishes audience targeting documentation that explains how its professional audience filters work. The LinkedIn Ads audience targeting guidance is a reasonable starting point for building a filter set that matches your audience sentence.

Treat the resulting number as an upper bound. Platform reach counts registered accounts, not active buyers. Cross-check it against the official counts you gathered earlier, and note the gap.

A wide gap usually means your filters are too loose, or your audience definition does not match how people describe themselves on the platform.

Keep a note of the date you pulled each platform figure. Reach numbers move with the platform's own user base, and an undated number is hard to defend six months later.

Lawful prospecting and data rules

Audience research and prospecting law overlap. If your research identifies people you intend to contact, the contact itself is regulated.

Live calling has its own rules. The ICO's guidance on direct marketing using live calls sets out consent, screening and record-keeping expectations under PECR. Read it before you brief a calling team.

For anything involving personal data, the operative text is the retained UK GDPR regulation. It covers lawful basis, consent and individual rights, including the right to object to direct marketing.

Build the lawful basis into the research design, not into a retrospective review. If you cannot state the basis for holding a record, do not collect it.

Research panels need the same care. When a panel supplies respondents, confirm who holds the consent and what the respondents were told. That answer belongs in the brief, not in a later email chain.

Research data collected for insight is not automatically usable for marketing. Separate the two purposes in your records, and keep the retention periods distinct.

Sampling and quality checks

A sample is only useful if you can describe how it was drawn. Note the source, the size, the dates and any filters applied before analysis begins.

For interviews, aim for a spread across the roles you named in the audience sentence. Six calls with the same job title at six similar firms tells you about that job title, not about the market.

For surveys, check the profile of respondents against your official counts. If the panel skews heavily towards one sector, either weight the results or state the skew in the report.

Keep raw notes and response files. When someone challenges a finding six months later, the evidence file is the difference between a debate and an answer.

Set a quality bar in the brief: minimum sample, maximum skew, and what you will do if the data misses it.

Turn findings into personas

Personas are a summary format, not a research method. They earn their place when each one changes a message, a channel or a qualifying question.

Limit yourself to three or four personas. More than that and the sales team stops reading them.

Each persona should carry the evidence behind it: how many interviews mentioned it, which survey segment supports it, and which official count bounds it. A persona with no evidence trail is fiction with a stock photo.

Keep them to one page. Put the evidence in an appendix so the page stays readable and the trail stays available.

A worked approach to structuring these documents for a UK sales team is set out in this guide to prospecting software buyer personas in England.

Review personas against closed-won deals after two quarters. Where a persona has never appeared in a won deal, either the persona is wrong or the targeting is.

Worked example with pound figures

A ten-person software firm in Manchester wants to sell a prospecting tool to recruitment agencies in England. It sets a research budget before choosing a vendor.

The team allocates £2,400 for the project. Desk research using ONS and GOV.UK statistics costs nothing beyond two days of internal time, which it values at £600. Six customer interviews at £75 per participant incentive come to £450. A survey of 200 respondents through a panel costs £900. Analysis time and a persona workshop take the remaining £450.

That is a labelled illustrative example, not a quoted market rate. The point is the shape: most of the cost sits in analysis and incentives, not in data access.

If the firm later spends £400 a month on prospecting software licences, the research budget equals six months of that licence. Frame the spend that way when you ask for approval.

Two variations are worth planning for. If the interviews surface a completely different job title, you may need a second round at roughly £450 again. If the panel returns a poor sample, expect to pay for a top-up rather than accepting unusable data.

Where research sits in delivery

Research feeds the rest of the revenue operation: targeting, messaging, qualification and reporting. If it stays in a slide deck, it was never research, it was a presentation.

Hand the personas and audience counts to whoever owns campaign delivery, and agree which numbers they will report against. The operational side, including handovers and reporting cadence, is covered in this guide to prospecting software operations and delivery.

Write the audience definition into your ICP document and review it at the same time each year. An audience definition that nobody revisits quietly becomes wrong, and every downstream list, sequence and forecast inherits the error.

Keep one owner. Joint ownership of audience research is the fastest route to a document nobody updates.

Common questions

How many interviews are enough?

For a narrow B2B audience, six to twelve interviews usually surface the main patterns, and you stop when new calls repeat what you already heard. Beyond that, move budget into a survey so you can measure how common each pattern is.

Can we just use platform audience data instead?

Platform estimates are useful for sizing and filter testing, but they count registered accounts rather than active buyers. Use them alongside official statistics, and treat any single source as an estimate rather than a fact.

What must we check before calling prospects?

The ICO live-call guidance covers consent, screening against the telephone preference service, and the records you must keep. Check it before any calling campaign, and confirm your lawful basis for holding each record.

How often should audience research be repeated?

Annually is usually enough for a stable B2B audience, with a light review whenever your sector, pricing or product changes. Re-run the desk research more often, since official statistics are updated on their own cycle.