Timing over precision

Someone enters the market for what you sell on their own schedule. By then, your name either feels familiar enough to consider, or it does not.

Research associated with Bain suggests that many B2B buyers already have a shortlist in mind before formal solution research begins.

6sense’s buyer research makes a similar point from the other side: many buying groups have already formed preferences before they speak to sales.

Once that happens, your job is rarely to persuade someone from scratch: you’re either already “a real option”, or you are scenery. This is where many teams go narrower, because narrower feels like control when timing is uncontrollable. They build tighter personas, map more “journeys”, and produce increasingly bespoke content for increasingly tiny groups.

This is how you end up with a perfectly engineered message landing on precisely the wrong day for almost everyone.

Say you’ve got 10,000 plausible buyers in your category and you decide to focus on 500 “ideal” profiles, because that’s what the spreadsheet demands and the CRM rewards.

If, for the sake of argument, 2% of the category is in-market at any moment, you’ve just paid a premium to speak to roughly 10 people who might actually buy this quarter.

If you reach 5,000 category-relevant people with a clear problem-led message, the same 2% becomes roughly 100 people, which is a very boring kind of maths with a strangely emotional impact in budget meetings.

Precision can improve efficiency inside the in-market slice, but it doesn’t magically increase the size of that slice. This is the same reach tax in another form: a narrower audience may look cleaner in the platform, but it does not necessarily make the market larger.

The uncomfortable bit is that clean dashboards often come from a smaller audience, not better timing.

The buyer journey fantasy

The tidy diagram says awareness, consideration, decision, and it flatters everyone involved because it suggests buyers progress calmly through the funnel like they’re completing a very sensible online course.

Real B2B buying more often looks like long stretches of ignoring the problem, bursts of panic when something breaks, internal politics disguised as “due diligence”, a gut decision dressed up as a scorecard, then a period of regret where everyone tries to remember whose idea it was.

Gartner has long argued that B2B buying is nonlinear, involving multiple stakeholders who access information across different channels and at different speeds.

The reason is that you’re rarely speaking to “a buyer”.

When they finally do need what you offer, they don’t start from a blank page. They start from whatever names already feel familiar, credible, and easy to retrieve.

If you’re absent from the in-between months when nothing is happening, you shouldn’t be shocked when you are absent from the shortlist when something finally does.

The timing trap

The promise of precision is simple, which is why it sells so well to busy teams trying to reduce risk.

If we can identify who is ready, we can show the right message at the right moment, and growth will look like a series of clean, attributable wins.

What often happens is quieter and uglier. “Precision” becomes a way to avoid the real problem of low category coverage.

You narrow to the accounts your tools can recognise, the job titles your data can label, and the people your intent vendor can score. Then you declare victory because the campaign report has fewer “wasted” impressions.

Meanwhile, the buying group changes jobs, the internal champion is a person your targeting can’t see, and the future buyer who will be in-market in six months never gets a single chance to store you in memory.

You narrow your message and shrink your surface area in the category. In auction-based media environments, you may also pay extra for the privilege, because smaller segments often cost more and leave less room for serendipity.

The trap persists because it produces dashboards that look decisive, even when the business outcome is slowly being starved of future demand. That is the hidden reach tax: the cost of making the audience look efficient while quietly reducing the number of future buyers who know you exist.

The 5% problem, which never goes away

LinkedIn’s B2B Institute popularised the “95:5” framing, building on work associated with the Ehrenberg-Bass tradition and people like John Dawes, to argue that only a small minority of buyers are actively in-market at any point in time.

The exact percentage will move by category, contract length, and buying cycle.

The commercial point is that most of your category is usually out-of-market, and your growth depends on being remembered by people who are not shopping today.

If you only market to the people showing obvious intent signals right now, you’re betting the business on being invited into rooms you were never present in.

A concrete example, because theory loves hiding

Take compliance software sold into a category with about 2,000 plausible buying organisations, where deal sizes are healthy but procurement is slow and deeply social.

Marketing buys intent data, tightens LinkedIn targeting to a few hundred accounts, and runs ads only on weekdays because “weekends don’t convert”. The team celebrates an improvement in CPL while sales complains in private that the pipeline feels weirdly pre-decided.

Three months later, the only opportunities they can point to came from the same small cluster of accounts who were already looking, because the whole system has become a mirror that reflects existing demand back at itself.

The killer detail is that nobody can prove what didn’t happen. You can’t attribute the deals you never got invited to compete for, and you cannot measure the champions you never created inside accounts that were not “hot” yet.

When budget pressure arrives, the same dashboard that looked efficient is used as evidence to repeat the same narrow approach, because it’s the only thing that can be “proven”.

This is how teams get trapped optimising the last mile of a journey they barely influenced.

Why this keeps happening

Precision is attractive because it fits the incentives of modern marketing organisations, where short-term reporting is treated as competence and long-term memory is treated as vibes.

Platforms encourage it because they sell targeting as a product, and they measure success through actions that happen inside their walls. That tends to bias teams towards what is easiest to count.

Leaders encourage it because “focus” sounds responsible, and “broad reach” sounds like waste, especially when the finance team is asking what the spend did this week.

Teams encourage it because it reduces conflict. It is easier to agree on a narrow list than to agree on a distinctive story that should be heard by the whole category.

Vendors encourage it because “we can find your buyers” is an easier pitch than “we cannot control timing, so you need to build memory like an adult”.

That is precision theatre: the performance of control replacing the harder work of category presence.

Mental availability does not run on office hours

Teams love asking what time of day to run B2B ads, because it feels like the kind of optimisation serious people do.

Platform dashboards will often show more clicks during business hours and fewer tracked conversions at weekends, which is true in the same way it is true that people eat more sandwiches at lunchtime.

For short-term response, those patterns have some value.

The problem starts when clicks and conversions are asked to stand in for influence. They prove timing more cleanly than memory, which is exactly why day-parting can feel more strategic than it is.

For long-term recall and “being a normal option”, the more important question is whether people encounter the same cues often enough to retrieve you later.

Even your neatest “conversion” data may be too thin to justify time-of-day scheduling decisions unless you are spending enough to generate serious volume. Many B2B teams are not.

The more realistic question is whether your brand is showing up often enough, with consistent cues, that a future buyer can retrieve you quickly when the trigger happens.

If you still want numbers to hold onto, you can triangulate with things like brand recall surveys, share of search movement, direct traffic trend, click lag, and plain human feedback like “I keep seeing you”. None of those come with the comfort blanket of hourly optimisation.

Decisions that stop precision becoming theatre

Decide whether this quarter’s attributable pipeline or next year’s shortlist is the main job. Trying to do both with the same budget usually produces a compromised version of each.

Decide how much category coverage you will buy, even if it makes your CPL look worse. Clean dashboards do not pay salaries, and future demand is often created while nobody is clicking.

Decide what you will keep consistent for six to twelve months, because constant message “refreshes” are often a disguise for low reach rather than a response to genuine wear-out.

Decide where precision belongs. It is typically more useful in late-stage retargeting, sales enablement, and intent-led follow-up than in the top-of-funnel job of being known.

Decide what you will stop measuring weekly, because a metric that never forces a stop, start, or continue decision is usually just organisational anxiety in spreadsheet form. This is where measurement has to stop pretending that the easiest thing to count is the thing that worked.

Where precision actually helps

Precision has real value when you have credible intent signals, a known shortlist, and a need to reduce friction for a buying group that is already moving.

Precision also matters when your category is heavily regulated, your claims must be tightly controlled, or your sales motion requires you to prioritise a subset of accounts for human follow-up.

The boundary condition is simple: use precision to deepen, not to introduce.

If your first impression of the brand only happens when someone is already comparing vendors, you have outsourced your growth to timing and luck, which is brave in the way leaving the front door open is brave.

Timing is the part you do not control

Many B2B teams keep making the targeting system cleverer while the wider category still has no memory of them.

Timing beats relevance more often than people admit, because relevance cannot do much work if the buyer never encounters you before the shortlist forms.

Timing will stay uneven, inconvenient, and mostly outside the campaign plan. Reach and consistency are the parts you can build before the buying window opens. That is the slower, less comfortable work of building a B2B brand.