The Enterprise Decision Is the Real Unit of B2B Marketing
An account can match the profile, hold every senior title on the list and show rising intent on the right topics. None of that reveals what the organisation is about to do.
A manufacturer may stay inside the profile for years while nothing commercially meaningful happens. Demand emerges when the organisation has a consequential decision to make, such as whether to redesign its network or change how it manages supplier risk.
Intent and job titles will not say whether technology forms part of the answer, or who gains influence as the answer takes shape. The account is where demand shows up. The decision is what causes it.
The Account Is Only the Address
One account may hold several live decisions at the same time, each involving different people, resting on different evidence and drawing on a different budget. The same executive may be decisive in one and barely involved in another. The decision also sets how the problem gets defined, well before vendors are relevant.
That can be seen in who turns up to decide. Forrester’s State Of Business Buying, 2026 found that a typical buying decision now involves 13 internal stakeholders and nine external influencers, with participation increasing for more complex or strategic purchases. The account may be unchanged, but the decision alters how many people become involved and whose judgement matters.
Nothing in the account data shows that change, so marketing has to look at the decision itself. Decision intelligence means building a working view of the decisions taking shape inside an account, and most of what it needs is already within marketing’s reach.
One Deadline, Several Different Markets
The manufacturer’s main distribution centre lease runs out next year. The property team has known the date for years, and six months before expiry the landlord expects an answer. It appears in a property schedule and a board paper, and nowhere else.
Real estate and finance may push for a contract renewal, and will judge that on cost per unit shipped. The landlord’s rent proposal is already waiting. Operations and engineering may argue for a longer lease and an automation programme, which depends on throughput and how new equipment connects to the warehouse systems. That brings in an integrator and a software vendor. Procurement may prefer to hand the site to a third-party logistics provider, and will weigh that offer against the cost of running it in-house.
The marketing data looks identical in every case, with intent rising on warehousing and network design. A vendor reading those signals may see a technology opportunity. The organisation is actually choosing between three materially different courses of action, only one of which requires that technology.
The Decision Sets the Competition
Once marketing treats the decision as the unit, the competitor set becomes broader. A vendor selling into the automation route is up against a consultancy’s network study, extra shifts on the existing site, a process fix that buys another year, a logistics provider and a short renewal that puts the question off. None of those involve buying software. A vendor can run a faultless campaign into that account and lose to a rota change.
Staying in that contest means becoming an option before the choice narrows, because preference forms early. 6sense’s 2025 report, covering more than 4,000 buyers, found that buyers choose from their first day shortlist 95% of the time.
That gives marketing a reason to influence how the decision is understood before a formal vendor search begins. Waiting for conventional intent may mean arriving after the credible options have already been established.
Framing the question that early depends on knowing a decision is forming before anyone announces it, which is what decision intelligence is for. It starts with what is already known about the account and with events inside the business, such as a lease coming due. To that it adds what the people involved are reading, the priorities their leaders have stated, conditions in the market, and direct conversation.
The output is not another account score. It is a working hypothesis about the decision, its trigger, the available courses of action, the people whose influence is increasing and the questions the organisation must resolve. That hypothesis can then determine the audience, content argument, distribution and event design.
For this account, targeting could reach the head of property and the finance director, two people a persona list built from supply chain titles would leave out. Events can work the same way. A room of operations leaders from companies facing lease decisions this year is likely to hold a more useful conversation than a room of supply chain directors grouped by title.
None of this can be read with certainty. Decisions like this are partly hidden and frequently reopened after approval, so the aim is a better view than account data alone can give.
The Right Account Is Not the Answer
Profiles show where demand could exist, and intent shows where interest may be rising. Decision intelligence helps explain what the organisation may actually do. Precision targeting is usually judged by whether the right accounts and people were reached. Markets, though, form around the consequential decisions taking shape inside those accounts.
Can a campaign reach every right person and still miss the decision being made?

