Intent Tells You When. Preference May Decide Who.

B2B marketers have spent years getting better at identifying when an account is in market. Intent platforms can now surface search behaviour, topic surges, content consumption, website activity and other signals that suggest a buying process may be under way. The assumption behind much of this technology is straightforward: identify the signal early enough and marketing still has time to influence the decision.

Recent buyer research raises an uncomfortable question about that assumption.

Forrester reports that 68% of B2B buyers begin a purchase process with a preferred vendor already in mind. That preferred vendor goes on to win 55% of all purchases. 6sense reaches a similar conclusion from a different research programme: 94% of buying groups say they rank their shortlist before speaking to sellers, while 95% of eventual winners were already on the buyer’s Day One shortlist.

Taken together, those findings suggest that intent is telling marketers something important — but not necessarily what many programmes assume. It may identify the point at which a buying process becomes visible, rather than the point at which preference begins to form.

Preference starts before the buying process does

The traditional performance-marketing model treats active demand as the point where competition becomes meaningful. Once an account starts researching a category, visiting relevant pages or demonstrating a surge in activity, the task is to identify it, prioritise it and increase engagement before a competitor does.

That logic is useful, but it risks treating buyers as if they enter the market without history. In reality, business buyers bring years of accumulated experience into a purchase. They may have used a supplier in a previous role, encountered its marketing over time, heard recommendations from colleagues, followed its experts, read reviews or developed confidence in its point of view long before anyone declares a project.

The buying group itself also adds accumulated knowledge. Forrester’s 2026 buyer research describes purchasing decisions involving an average of 13 internal stakeholders and nine external influencers. Those people bring their own supplier experiences, opinions and networks into the decision. AI-powered research is adding another layer by helping buyers synthesise market information, supplier claims and third-party views before direct engagement ever begins.

This means an account can become ‘in market’ without becoming genuinely open-minded. By the time visible intent rises, the group may already be testing a preference rather than constructing one from scratch.

That distinction matters because selection and validation require different marketing strategies.

Two identical intent scores can represent very different opportunities

Consider two enterprise accounts showing the same category-level intent. Both are researching the same problem. Both have visited relevant content. Both appear to have entered a buying window.

The first account has encountered your brand repeatedly over the past year. Several stakeholders know your proposition. One senior contact has engaged with your thought leadership. Another used your product at a previous employer. Your company is already credible before the formal evaluation starts.

The second account has the same current intent score but almost no relationship with your brand. It recognises two competitors, has existing experience with one of them and has never meaningfully engaged with you.

On an intent dashboard, those accounts may look similar. Commercially, they are not.

The first may justify an immediate high-touch response because existing preference, engagement and current buying activity are converging. The second may need a very different approach: stronger proof, clearer differentiation, broader buying-group engagement or even recognition that the opportunity is less winnable than the raw signal suggests.

Intent therefore becomes more useful when it is treated as one dimension of account intelligence rather than the answer in itself. Fit, propensity, historical engagement, existing relationships, buying-group coverage and current behaviour all change what the same signal should mean.

The practical question is no longer simply, ‘Which accounts are showing intent?’ It becomes, ‘Which accounts are likely to buy, where do we stand in their current preference set, and what action is most likely to improve our position?’

The commercial battle may be happening earlier than marketing measures it

This is where the findings create a bigger challenge for B2B marketing. If preferred vendors are often established before the formal purchase process becomes visible, then some of the activity most responsible for future revenue will occur before traditional demand systems are able to attribute much value to it.

Useful category thinking, credible evidence, distinctive creative, relevant customer proof, peer advocacy and consistent presence may not produce an immediate hand-raise. They may not create an MQL this quarter. But they influence the shortlist that buyers carry into the next purchasing decision.

This does not mean returning to an artificial division between ‘brand’ and ‘demand’. Nor does it mean abandoning intent data. The more useful interpretation is that these capabilities perform different commercial jobs.

Demand creation builds familiarity and preference before the buying window. Intent helps identify when an account may be moving. Account intelligence helps determine how strong the opportunity really is and what action should follow.

If those stages are disconnected, marketing can become excellent at reacting to buying activity without being equally good at shaping who buyers want to buy from.

That is the danger of arriving at exactly the right time — too late.

From capturing demand to improving the odds of winning it

The measurement implications are significant. Marketing systems naturally favour observable events: clicks, form fills, visits, surges, opportunities and revenue. Preference is more difficult to measure, which makes it easy to under-invest in the activity that creates it.

The answer is not to invent a perfect ‘preference score’. It is to broaden the view of demand performance. Target-account engagement, buying-group penetration, repeat exposure among priority audiences, content influence, account progression and ultimately win rates can all help indicate whether marketing is improving the probability that the brand will be considered when a buying cycle begins.

At the same time, active intent should still matter. The point is not that intent has become irrelevant; it is that the signal needs context. An account surging around a category in which you already have familiarity and stakeholder engagement is different from one where you are effectively an outsider trying to enter a shortlist that may already be fixed.

Forrester describes many modern buying journeys as exercises in confirmation rather than selection. 6sense’s findings on pre-contact shortlist ranking point in the same direction. Neither study means every B2B purchase is predetermined, and neither proves that late-stage influence is impossible. But both should make marketers question whether too much budget and attention is concentrated on the moment the buyer becomes visible.

Intent tells you when something may be happening. It does not tell you whether you are already winning.

The stronger demand engine is therefore the one that works before, during and after the signal: building preference while the market is quiet, identifying movement when it begins, and using account intelligence to decide what deserves action.

Because by the time intent appears, the buyer may already have chosen. The commercial question is whether they chose you.

If you are reviewing how your demand strategy combines propensity, intent, engagement and account intelligence, Quantum can help assess where the strongest opportunities really sit — and what action is most likely to move them forward.