Insights

Which buying signals are worth acting on in 2027?

By the time a buyer looks ready to buy, the decision is largely made. The signals worth acting on are the quiet ones that fire while the shortlist is still forming.

Published 9 min readBy Amith TK

The short answer

The signals worth acting on fire while a buyer is still working out what to do, rather than when they look ready to buy. By the time somebody requests a demo they usually have a shortlist, so the useful ones are the early, quiet signals that make you familiar months before the decision.

Key points

  • Buyers arrive with a list. Bain and Google surveyed 1,208 business buyers and found 80 to 90 percent had a shortlist in mind before they started formal research, and 90 percent bought from it1.
  • 6sense found that 94 percent of buying groups ranked their preferred vendors before ever contacting one2, and bought from that early favourite 77 percent of the time, in cycles averaging just over ten months.
  • Only a small share of your market is in the buying window at any moment, which is why the 95-5 rule3 matters more than any intent feed: most of the people you reach today will buy in a year or two, or not at all.
  • Spray and pray is not free. It costs domain health, brand reputation with the exact people who will be in-market later, and the goodwill you will need when the window finally opens.

Why did spray and pray ever work?

For most of the last two decades, timing was not something marketing could see, so it compensated with volume. Lists were bought by title, industry and headcount, campaigns ran on a calendar set in January, and the only real intent signal available was somebody filling in a form, which arrives so late in the process that it is closer to a receipt than a clue.

That approach worked well enough for a while, partly because inboxes were emptier and phones were answered, and partly because the cost of being ignored was close to nothing. Sending to the wrong hundred people cost an hour of somebody's afternoon, so nobody counted it, and the occasional deal that landed made the rest look like an acceptable trade.

Both halves of that arrangement have now gone, which is the same shift behind why AI outbound fails. The hour of somebody's afternoon has become four seconds of a model's time, which means everyone can do it and everyone does, and the cost of being ignored has stopped being zero, because mailbox providers, buyers and your own reputation all keep score in ways they did not before.

What changes in 2027?

The part worth internalising is that buyers are no longer starting from a blank page when they decide to buy something.

Bain and Google surveyed 1,208 business buyers and found that 80 to 90 percent already had a set of vendors in mind before they began any formal evaluation, and that 90 percent of them eventually chose one of those names. 6sense's buyer research points the same way from a different angle: 94 percent of buying groups had ranked their preferred vendors before they contacted a single one, they bought from that early favourite 77 percent of the time, and the average cycle ran a little over ten months with first contact happening around 61 percent of the way through.

Put those together and the arithmetic is uncomfortable. If a cycle runs ten months and you first hear from the buyer six months in, the question of who makes the list was settled somewhere around month four, while you were still a stranger. Being the best option at the point of decision is worth a great deal less than being one of the three names somebody could recall six months earlier, which is the practical meaning of a consideration set.

It is worth being precise about what is wrong with the older approach, because the problem is not that it starts too late. A programme that starts ten months out and sends the same message every week is not early, it is uncorrelated, and it lands at a useful moment only by accident. What changes with signals is not the start date but whether contact is connected to anything that happened at the company receiving it.

What actually accumulatesIllustration

Ten months, read left to right. The height of each line is how well the buyer knows you, and the marks along the bottom are every time each approach got in touch.

Month 10 to 7, something changes

A second hire for the same role, a new executive, a funding round or a migration. The calendar programme sends here at the rate it sends everywhere else, and one of those messages lifts the line briefly before it settles. The signal-led company sends once, and that message still counts for something nine months later.

Known well enough to be shortlisted Shortlist level Shortlist forms second hire something useful a conversation every time they got in touch

Sending on a calendar. Forty touches in ten months, and the line does move, because some of them land on someone having a relevant day. It falls back each time, since nothing connects one message to the next, and the year ends roughly where it started.

Acting on a signal. Three touches in the same ten months, each prompted by something real, and each one holds its ground before the next builds on it, which is why the line is above the bar before the shortlist is written.

Height is familiarity, not pipeline or revenue, and the shapes are the argument rather than measured figures. Volume does buy the occasional lift, since some messages land on a good day, but nothing carries over, whereas a few connected touches compound.

Which signals are worth acting on?

A signal is worth acting on when it tells you something changed that makes your category relevant, and when it fires early enough that you can still become familiar before the shortlist hardens. That second condition is the one most teams skip.

SignalWhat it suggestsWhen it firesWhat to do with it
A second hire for the same role or systemSomeone is building capacity, which usually precedes a projectEarly, often six to nine months outBe useful about the problem they are staffing for, without pitching
New executive in a function you sell toNew leaders re-examine tools, agencies and contracts in their first two quartersEarlyIntroduce a point of view, not a product
Funding, expansion or a new marketBudget and ambition arrive together, and priorities get rewrittenEarly to middleOffer a specific idea tied to what they said they would do with it
A public deadline, mandate or compliance dateThe problem now has a date attached and cannot be deferredMiddleBe the clearest explanation of what the date means for them
A migration or system changeAdjacent tooling and services come up for reviewMiddleReach out with the specific integration or risk they will hit
Repeated research on one problem, across the accountA group is forming around a questionMiddle to lateA relevant person, not a sequence, and a real conversation
Pricing page visits and demo requestsThey are comparing named optionsLateRespond fast, but know that you are being compared rather than discovered

The pattern in that table matters more than any individual row. Most of the signals that are easy to buy from a vendor are late ones, and most of the signals that put you in the consideration set are early ones that need interpretation rather than purchase.

Which signals are mostly noise?

Plenty of what gets sold as intent is either too vague to act on or too late to matter, and acting on it anyway is how teams end up with a busy quarter and no pipeline.

  • One anonymous website visit. A single visit from a company tells you almost nothing about who visited or why, and treating it as interest produces the message everyone has now received: "I noticed you were looking at our site."
  • Topic surges with no account context. Aggregate intent scores often reflect the whole internet reading about a subject rather than a specific group at a specific company preparing to act.
  • Fit dressed up as intent. Industry, headcount and tech stack describe who could buy, not who is about to, and confusing the two is what fills a list with five thousand perfectly qualified strangers.
  • Email opens. Between image proxies and automated scanning, an open is closer to weather than to interest.

What is the opportunity cost of spray and pray?

The obvious cost is the reply rate, and it is the least interesting one. The real bill arrives in three other places.

The first is your domain. Mailbox providers have turned what used to be etiquette into enforcement, and Google's sender rules4 now require authentication, one-click unsubscribe and spam complaints kept below 0.3 percent, with failures rejected rather than quietly filed. A quarter of heavy sending can leave a domain in a state that takes months of careful volume to repair, which means the next campaign starts from a worse position than the last one.

The second is your name. Because only a small slice of your market is in the buying window at any moment, most of the people receiving an irrelevant message are not saying no, they are forming an impression they will still hold when they do start looking. That is the expensive part: you are spending future consideration to buy present activity, and the bill arrives about six months later in the form of not being on a list you never knew was being written.

The third is quieter still. Teams that measure sends rather than conversations end up with a system nobody wants to touch, because everyone knows the numbers are arithmetic rather than interest, and good people leave roles like that.

Illustration

A company selling data engineering work watches one early signal, which is a second job posting for the same data platform role inside a quarter. Here is the same account over five months, with the move that follows each event.

  1. March, a second platform role is posted. The first hire was a replacement and the second one means a project, so this is the month the account becomes worth watching rather than worth pitching. Next best action: send nothing about yourself, and put out the one thing that is useful to a team about to double its data engineering capacity.
  2. April, the new engineer starts. Somebody joining a build has questions nobody at their own company has time to answer in the first month. Next best action: reply to something they said in public with a specific answer rather than congratulations, and let that be the whole interaction.
  3. May, their head of data turns up in a webinar audience. The question they asked in the chat tells you what the project is stuck on. Next best action: a short note from the person who was in the same session, answering only that question, with no meeting request attached to it.
  4. August, the company starts evaluating vendors. Two names come up unprompted in the first internal meeting, and one of them has been useful since March. Next best action: ask for the conversation now, because this is the one moment where being direct costs nothing, and five months of being useful is what earned it.

How do you get into the consideration set six months early?

You make sure the answer to "who do we know who does this?" includes you, which is a different job from outbound and needs four things running at once.

Be findable when the question first gets typed, whether that is into a search box or an assistant, because the earliest research happens long before anyone fills in a form and it rarely involves your website. Be recognisable by having a point of view that survives being repeated by somebody else in a meeting you are not in. Be useful before you ask, so that the first thing an account receives from you is the thing they needed rather than the thing you needed. And act on early signals with a real person, sparingly, because the purpose of an early touch is familiarity rather than a meeting, which is the watching and enrichment layer that GTM engineering builds.

None of that removes the need for outbound. It changes what outbound is for: instead of trying to create demand with volume, it becomes the way you show up early for the small number of accounts where something has genuinely changed.

Sources

Figures last checked on 19 September 2026. Buyer research moves slowly but the deliverability rules do not, so we revisit both every quarter.

Questions

Common questions

What counts as a buying signal?

A buying signal is a public or first-party event that changes the odds a company will buy something in your category, such as a second hire for the same role, a new executive in the function you sell to, a funding round, a migration or a compliance deadline. Firmographics like industry and headcount are not signals, because they describe who could buy rather than what has just changed.

Is intent data worth paying for?

Sometimes, though rarely on its own, because most intent products tell you that somebody at a large company read about a topic, which is a long way from a group forming around a decision. Intent is most useful when it corroborates something you can see independently, so treat it as a second opinion rather than a trigger.

Is a pricing page visit a good signal?

It is a real signal and a late one, which means it is worth responding to quickly while knowing that you are being compared rather than discovered. If the only signals you act on look like this, you are permanently arriving at the stage where the shortlist already exists and your job is to unseat somebody.

How early is too early to reach out?

You can be too early with a pitch on almost any signal, but you can rarely be too early with something useful, so the test is whether the first contact would make sense to the person receiving it if they had no intention of buying anything. If it only makes sense when they are in market, it is a pitch wearing a signal as a disguise.

We have no signals set up at all. Where do we start?

Look at what your last ten customers did in the three months before they first spoke to you, because the pattern in that short list is usually more useful than anything you can buy, and it is narrow enough to watch by hand while you work out whether it holds.

Next step

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