Show the board engaged buying groups per target account, not MQLs

A board that asks what marketing produced wants to know whether the accounts that can buy are moving closer to buying. An MQL count can’t tell it. A count of engaged buying group roles per target account can. Define it before the programme starts and report it the same way every quarter.

Why can’t an MQL count show the board who is engaged?

An MQL records a single person’s form fill, while a group decides deals above about €50k. Forrester’s State of Business Buying 2026 puts 13 internal stakeholders and 9 external influencers in a typical buying decision.^↗ A marketing-qualified lead tells you that 1 of them downloaded something. It tells you nothing about the CFO, the security lead or the person who signs.

The count also rewards the wrong work. Forrester estimates that fewer than 1% of leads convert to closed deals.^↗ A study in the Journal of Marketing found that sales did not pursue about 70% of marketing leads.^↗ A team measured on MQLs can hit its number while the target accounts stay dark.

The board’s real question is whether you reach the people who decide, in the accounts you chose. That matters for revenue: in Gong’s analysis of 1.8M deals, multi-threading lifted win rates by 130% on average in deals over $50k.^↗ So the replacement is counted per account and per role. It shows how many of the roles that decide the deal are engaged at each target account.

What counts as an engaged role in the buying group?

A role counts as engaged when the person in it has had a two-way exchange with your team within 90 days. That means a reply to a question you asked, a call or a meeting they attended. Everything one-way stays out. An email open, an ad impression, a click, an accepted connection request, a webinar sign-up, an anonymous website visit or an intent data surge is reach. Report reach on its own line if you want it. The champion’s account of a meeting doesn’t count either.

The count stays honest with 3 more rules:

• Each role counts once. IT is 1 role, however many people from IT you talk to. The board wants to know whether finance is engaged, and a list of names can’t tell it.
• The roles that matter are set per tier. List the roles that fund, sign or can stop a deal, from your last 4 quarters of won and lost deals. Start with 3–5 per tier: a long list nobody can fill makes every account look dark.
• A role is counted where it sits. In a group of companies, the CFO often sits at the parent, so count the role once, at the account that holds the budget.

Coverage is then engaged roles divided by the roles that matter, per account. Add the accounts up by tier and you have the first line of the board page.

How do you build the board report from your target account list?

Build it in 5 steps, and take the baseline before the programme changes anything.

The order matters. Once the first campaigns run, you can no longer see where you started. Count the quarter before the programme with the same rule, and freeze it. Where activity wasn’t logged, mark the gap instead of estimating it. If a definition has to change later, restate the baseline so the comparison stays like for like.

Pull the count from the CRM so nobody rebuilds it in a spreadsheet each quarter. Log each contact’s role on the account, with association labels in HubSpot or account contact roles in Salesforce. Make sure meetings and replies land on the contact’s record. The report then becomes a saved view anyone can rerun.

Keep the board page to 5 lines: coverage by tier against the baseline, accounts with 3 or more roles engaged, accounts with none, opportunities opened in target accounts and a miss with its cause and fix. Lines 1–3 show whether you reach the buying group. Line 4 shows whether that reach turns into pipeline. The miss shows the board that nobody picked the lines to flatter.

Tie the lines to definitions the board can track over time. Write down that an account counts as engaged when 3 or more of its roles that matter are engaged. An opportunity counts as qualified only when its budget owner is one of them. Then the same accounts can be followed from reached to engaged to pipeline, quarter after quarter. Run the old MQL view beside the new page for 2 quarters before you retire it. Forrester advises moving from MQLs to opportunities in stages.^↗

How do you split target accounts into 1:1, 1:few and 1:many tiers?

Split them by capacity: divide the hours your team has by the hours each tier needs. Then fill the tiers from the top of your account scoring. Take a 3-person marketing team with 150 target accounts, such as 150 IDNs. The table is an illustration: replace the assumed hours with your own.

Assume each marketer has about 120 hours a month for account programmes, 360 in all. A 1:1 account takes about 12 hours a month: a current account plan, 1 tailored asset or briefing a quarter, event invitations and a weekly 30-minute call with the account executive. A 1:few cluster of about 9 similar accounts takes about 30 hours: content written for the cluster’s shared problem and a roundtable each quarter. The 1:many tier runs on about 60 hours in total: ads to the role list and a newsletter for contacts who opted in.

The arithmetic gives 12 accounts in 1:1 (144 hours), 45 in 5 clusters of 1:few (150 hours) and 93 in 1:many (60 hours): 354 of the 360 hours. Fill 1:1 with the accounts that score highest on ICP fit and dated buying signals, such as an EHR replacement or a new CIO. Cluster the next 45 by a shared problem, such as the same EHR or the same size band.

The roles that matter follow the tiers. A 1:1 account gets every role on the list; a 1:many account gets the 3 that most often decide. That keeps each tier’s coverage target in line with the work it gets.

What does the board report look like for 180 target accounts?

It fits on 1 page. Here it is for a vendor selling clinical AI to 180 US health systems, about 28% of the 639 that AHRQ counts.^↗ The numbers are an illustration of the layout. No client’s results are shown.

Start with who decides. By Panelhop’s estimate, a significant health system purchase involves 5–12 people, most with a veto, over 6–24 months.^↗ The roles with a veto: CEO or COO; CFO and finance; CIO and the EHR team; CMIO or CNIO; CISO and vendor risk; privacy and legal; the AI governance committee.^↗ Count them at the system: 3,567 of the 5,121 US community hospitals belong to one.^↗ The CFO and CIO often sit at the parent.

Clinical AI adds a role that may not exist yet. In a survey of 233 health systems by HFMA and Eliciting Insights, 88% used AI internally but only 18% had a mature governance structure and a fully formed AI strategy.^↗ Where that is true, record AI governance as “not formed” and ask who reviews models today. It may be the CMIO: 29% of CMIOs now hold responsibility for their organisation’s AI initiatives.^↗

Tier 1 has 15 accounts in 1:1, each with 5 roles: CIO, CMIO, CFO, CISO and AI governance. Tier 2 has 45 accounts in 1:few with the first 4. Tier 3 has 120 accounts in 1:many with 3: CIO, CMIO and CFO. That makes 615 roles that matter.

The miss is finance. Tier 1 planned 8 engaged CFOs and reached 3, because the programme gave finance nothing to respond to. The fix for next quarter is a finance briefing built on an ROI model at the account’s own return hurdle. The account executive and the marketing lead own it. Bain and KLAS found that among providers and payers with formal return thresholds, the most common hurdle is a return of 3.0–3.9× the original investment.^↗

A board report needs a baseline and a miss

We think a board report is worth reading only when every number sits next to its baseline and a line shows what didn’t work.

The reasoning starts with the MQL count. Above about €50k ACV, we think an MQL target rewards volume the buying group never acted on. A single form fill says little about whether an account will buy, and the target pushes marketing towards quantity over fit. Coverage per account fixes what gets counted. It doesn’t fix how it gets presented.

Without a baseline, almost any number can be framed as a win. In the example above, 105 engaged roles means something only because the page also shows 64 before the programme, counted the same way. So we take the baseline first, keep the definitions fixed and report every later number against it.

A miss takes the same idea further. We think a page where every line rises reads like a sales deck. A single line that went the wrong way, with its cause, its fix and an owner, shows the numbers were counted before anyone chose what to show. We also think a single engaged contact doesn’t make an account qualified while the rest of its buying group is unknown. A page of roles per account makes that visible.