Buying group coverage, which many teams search for as buying committee coverage, is the share of the people who decide a purchase at an account that you have actually reached, and most account-based marketing reports never measure it. They count the accounts that showed any activity, so an account where one engineer downloaded a datasheet and an account where five people from operations, finance and safety replied to the same thread both appear as one active account. The two have very different odds of becoming a customer, and a report that cannot tell them apart steers the budget toward the wrong one.
We call this measure Account Grip. It is the number of buying-group members at an account who have replied to us or met with the client, divided by the number of people we mapped in that account's buying group. An account with eight people in its buying group and two of them in conversation has a grip of two out of eight, or 25 percent, and that figure says something a single reply never can: how much of the decision is still happening without you.
Grip matters because a purchase in a technical market is approved by several people who each ask a different question. The engineer who likes the technology asks whether it works, the head of operations asks whether it will disrupt the line, finance asks what it costs over five years, and the person responsible for safety or security asks what it has been assessed against. Any one of them can stop the purchase, and the people who can stop it are rarely the ones who reply first, so an account with strong interest from one person and silence from the rest is a pilot waiting to stall.
Putting the measure in place takes three steps, and the first is the slowest. You map the buying group for each account on your account list by role, using the three headings we use on our industry pages: who signs, who evaluates and who can block. You then record each named person against the account in the CRM with the date of their last reply or meeting, so the count comes from records rather than from memory. Finally you compute grip per account each month and sort the account list by it, because the sorted list shows where the conversation is thin long before the deal stage does.
Take an account list of 400 accounts where the average buying group has six people. A report that counts any reply might show 60 active accounts, but if 45 of them have one person in conversation and 15 have three or more, the team holds real grip at 15 accounts and a single thread at 45. The right work for the next month is then to reach the finance and operations people at those 45 accounts, rather than to add more accounts to the list. The numbers are illustrative, and your own split is the one worth knowing.
Grip has limits worth stating. It depends on the buying-group map, so a map that lists only three people makes every account look well covered, and the first month of measuring often lowers grip because the map becomes more honest. It counts people rather than influence, so a reply from the person who signs weighs the same as a reply from a junior evaluator, which is why we read grip next to the names behind it rather than as a single score. And in markets where buying groups have one or two people, grip says little, because the work there is an outbound list rather than an account program.
For a revenue leader, grip changes what a good month looks like. A month in which the number of active accounts stayed flat while grip rose at the twenty accounts closest to a decision is a better month than one in which thirty new accounts each produced a single reply, and only a report that counts people per account can show that. It also gives marketing a concrete brief for content and paid coverage, because the gap is always a named role at a named account, which is how the Demand practice in Torke Service plans its coverage.
A buying group that has not heard from you is still part of the decision, and grip is the cheapest way to see that before a deal stalls. The same count works for renewals and expansion, where the people who decide often change between the first contract and the second. Pick the ten accounts your sales team calls most promising this week, write down how many people you mapped in each buying group and how many have replied, and compare the two numbers before the next forecast call.