# B2B buying signals: which ones are worth acting on, and when LinkedIn's B2B Institute says 95% of your potential buyers are not ready to buy today. The buying signals that find the other 5%, ranked, with how to use each one. - Author: Radwan Altaf (https://radwanaltaf.com) - Published: 2026-11-11 - Topics: Growth, Startups - Canonical URL: https://radwanaltaf.com/writing/b2b-buying-signals - Disclosure: Figures are linked to their original sources and were checked on 11 November 2026. Gartner's own site refuses automated access, so its survey figures were checked against a published reproduction of the release. I built InstinctGTM, which watches for the signals described here, so weigh my view with that in mind. The worked example is illustrative and is not a customer. --- In this article I will explain which B2B buying signals are worth acting on, how long each one stays useful, and how to turn one into a message that a stranger will actually read. I will also say where signals stop working, because they do not work everywhere. To begin with, the problem. Most founders and small sales teams have a list of companies they would love to sell to. They email the whole list, hear nothing, and conclude that outbound is dead. In most cases the message was not the issue. The timing was. They wrote to a company that had no reason to buy that month, and nothing in the email gave the reader a reason to reply. ## How many of your buyers are actually ready to buy? Very few. The [LinkedIn B2B Institute](https://business.linkedin.com/advertise/resources/b2b-institute/b2b-research/trends/95-5-rule) states it bluntly: "95% of your potential buyers aren't ready to buy today." Its reasoning is that business purchases are rare events. It gives the examples that "80% of companies change banking services once every 5 years" and "75% of companies buy computers once every 4 years", and it ties the idea to its joint research with the Ehrenberg-Bass Institute. This means that a list of 500 target accounts contains, at any given moment, roughly 25 companies that are open to a conversation. The other 475 are not going to reply however good the email is. Thus, the real job of outbound is not writing a better message to 500 companies. It is finding the 25. It also explains why blasting the full list does damage. [Gartner](https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-sales-survey-finds-61-percent-of-b2b-buyers-prefer-a-rep-free-buying-experience) surveyed 632 B2B buyers and found that 73% actively avoid suppliers who send irrelevant outreach. Robert Blaisdell, a VP Analyst in Gartner's sales practice, put it in one line: "Bad prospecting actively damages relationships with potential customers." An email to a company that is not in market is, by definition, irrelevant to it. You are not only wasting the send; you are training a future buyer to avoid you. ## What is a buying signal? A buying signal is a dated, public change at a company that makes it more likely to need what you sell in the near future. In simple words, it is something that happened at the company, on a day you can name, that gives you a reason to get in touch now rather than at any other time. Typical buying signals are a job post for the role that owns your problem, a new leader in that seat, a funding round, a product launch, an expansion into a new market, or a change to the company's own pricing. Each one can be linked to, dated and quoted back to the person you are writing to. It is important to note the contrast with intent data. Intent data usually means third-party data that infers interest from what people at a company have been reading or searching across the web. It can be useful for prioritising, but you cannot cite it. Writing "I noticed your team has been researching onboarding tools" to a stranger tells them they are being watched, and it gives them no fact they can check. A buying signal is the opposite: it is something the company announced itself. ## Why most buying signals waste your time Signals have become a category of software, and most teams that buy it end up with a dashboard full of alerts they do not act on. In my experience there are four reasons. ### 1. The signal names a company, not a person "Acme raised a Series B" is a fact about a company. Companies do not reply to email; people do. If the signal does not tell you who now owns the problem you solve, you are back to guessing a job title and hoping. The useful signals point at a person: the new Head of Growth, the hiring manager on the job post, the founder quoted in the launch announcement. ### 2. The signal is stale A funding announcement from eight months ago is not a signal. It is history. By then the budget has been allocated, the agencies have pitched, and the new hires have their plans. Signals decay, and they decay at different speeds, which I will come back to below. ### 3. The interest is inferred, not observed Website visits and third-party intent scores tell you that somebody somewhere in a company may have looked at something. That is a reason to look more closely, not a reason to email. Moreover, the moment you reference it in a message, you have told the reader you are tracking them, which is the fastest way into the 73% that Gartner describes. ### 4. One signal on its own is noise Companies hire all the time. A single job post can mean growth, churn, or a replacement for someone who left. What changes the picture is when signals stack: a funding round, then a hire for the role that owns your problem, then a new pricing page, all inside a few weeks. One event is a coincidence. Three events in the same direction is a decision. ## The rule that separates a signal from noise **A buying signal is worth acting on only when it is recent, it names a person who now owns the problem you solve, and you could cite it, with its date and source, in the first line of your message.** If any of the three is missing, the signal goes on a watch list, not into an email. This one rule removes most of the alerts that signal tools produce, and it is the rule I built InstinctGTM around. ## Which buying signals are strongest, ranked Below are the signals I act on, in the order I trust them. The freshness windows are my own working rules from running outbound for my companies, not a measured benchmark, so treat them as a starting point. ### 1. A hire into the role that owns your problem If you sell onboarding software and a company posts a job for a "Head of Customer Onboarding", the company has already decided the problem is worth a salary. That is a stronger statement of intent than any survey. Furthermore, the job post often names the tools in the current stack and the outcomes the hire will be measured on, which is exactly what your first line should reference. Who to reach: the hiring manager, usually named on the post or findable as the person the role reports to. Once the hire starts, reach the new person too. Freshness: about two weeks after the post goes up, and again in the new hire's first month. ### 2. A new leader in the buying seat A new VP or Head of a function arrives with a mandate to change something and a short window before their plans are fixed. They are also the one person in the company who has no loyalty to the current suppliers. Thus, a new leader in the seat that buys what you sell is the second strongest signal. Who to reach: the new leader directly. Freshness: their first four to six weeks, which is when they are still deciding what to change. ### 3. A funding round Funding is the most watched signal and therefore the most crowded. Every vendor on the internet emails the founder the day the round is announced, and most of those emails open with congratulations. It still matters, because it means money and a plan to spend it, but on its own it is weak. It becomes strong when it is followed by hires in your area. Who to reach: not the founder who was just quoted in the press. Reach the person who will run the area the money is going into. Freshness: about a month. ### 4. A launch or a move into a new market A new product, a new region or a new customer segment creates new work: new pages, new messaging, new pipeline, new support load. In the case of a company launching into a new country, the go-to-market team suddenly needs content and contacts it did not need last month. Who to reach: the person named in the announcement, or the owner of the function that inherits the new work. Freshness: two to three weeks. ### 5. A pricing change A company that changes its own pricing page is rethinking how it sells. That often means new packaging, new sales motions and new questions about onboarding and retention. It is a quieter signal than funding, which is why fewer competitors notice it. Who to reach: whoever owns revenue or growth. Freshness: about a month. ### 6. A champion who moved companies When someone who already used your product joins a new company, they arrive with a solution they trust. This is the warmest signal on the list, but it only exists once you have customers, which is why I rank it last for founders starting out. ## How to turn a signal into a message Here is the method I use, step by step. The example is illustrative and not a real company. 1. **Name the accounts first.** Write down the 30 to 50 companies you would genuinely take a meeting with. Signals only help on a list you already believe in. Watching the whole internet for signals produces alerts about companies you would never sell to. 2. **Watch each one for the six events above.** Record every event with three things: the link, the date, and your confidence that it means what you think it means. 3. **Wait for a stack, unless the signal is a hire into your exact area.** Two or three events in the same month at the same company is the trigger. A hire into the role that owns your problem is strong enough alone. 4. **Find the person who now owns the problem.** Not the CEO by default. The hiring manager, the new leader, or the person named in the launch. 5. **Open with the fact, then the consequence, then one question.** For example: "Saw the Head of Customer Onboarding role you posted on 3 November. The post says the team is moving from a manual kickoff call to self-serve onboarding this quarter. When we made that move at a similar stage, the first problem was knowing which accounts stalled in week one. Is that on your list yet?" 6. **Send it from your own mailbox, one at a time, after reading it.** A signal-based message is a 1-to-1 message. If you would be embarrassed for the recipient to see the other 200 people who got the same email, it is not signal-based. That example works because every claim in it can be checked. The date is real, the job post exists, and the question is about the reader's problem, not your product. ## Is the effort worth it compared with sending more email? The spread between average and good outbound is large. [Instantly's 2026 cold email benchmark](https://instantly.ai/cold-email-benchmark-report-2026), built on its own platform data from 1 January to 18 December 2025, puts the overall average reply rate at 3.43%, the top quarter of senders at 5.5% or more, and the top 10% at 10.7% or more. It also found that 58% of all replies come from the first email in a sequence. It is important to note that Instantly sells cold email software, so this is a vendor's data about its own users, and the report does not isolate the effect of signals. However, its own advice for top performers is to "blend campaign data with buyer signals such as hiring patterns, funding events, product launches, and website visits." Read together with the 58% figure, the implication is clear: the first message carries most of the outcome, so the reason for sending it had better be a real one. ## What to do this week In order of leverage: 1. Write your list of 30 to 50 named accounts, and cut any company you would not actually take a meeting with. 2. For each one, find the person who owns the problem you solve today. 3. Check each company's careers page, newsroom and pricing page once a week, or let software do it. 4. Act only on signals that pass the rule: recent, names a person, citable in the first line. 5. Write each message by hand, or approve each draft line by line if a tool wrote it. If you would rather not check 50 careers pages every Monday, this is the work [InstinctGTM's signal-based outbound](https://instinctgtm.com/solutions/signal-based-outbound) does. You name the companies, it watches them for hires, new leaders, funding, launches and pricing changes, and every signal it raises traces back to a stored event with a link, a date and a confidence. When several land at once, it tells you who to reach and drafts the message from your own Gmail or Outlook. Nothing sends until you approve it. The [InstinctGTM handbook](https://instinctgtm.com/docs) shows what good and weak input look like for each capability. ## Signal habits that backfire **Opening with congratulations.** "Congrats on the raise!" is the first line of every vendor email that week. Lead with what the change means for the reader's work, not with applause. **Citing tracked behaviour.** "I saw someone from your team on our pricing page" makes the reader feel watched. Use what the company published, never what you inferred. **Acting on companies outside your list.** A strong signal at a company you cannot serve is still a wasted email, and it still counts towards the 73% who learn to avoid you. **Automating the send.** The point of a signal is that the message could only have been written to this one person this week. A machine sending 400 of them on a schedule undoes that. ## What buying signals cannot do Signals do not create demand. If a company has no need for what you sell, no combination of events will produce one. Signals only tell you when an existing need has become urgent. They are also thin at the very early stage. Pre-seed and seed companies rarely post jobs for specialised roles or publish pricing changes, so there is little to watch. InstinctGTM says so directly and does not take on teams selling into that segment, because the evidence is too thin to act on honestly. Public signals also lag. A job post appears after the decision to hire was made, sometimes weeks after. Moreover, you will miss everything a company does not announce, which for many private companies is most of what happens. Lastly, I have not published a measured reply-rate lift for signal-based messages, either from my own sending or from InstinctGTM's customers, and I have not found an independent study that isolates it. InstinctGTM is live and in the revenue stage, and its paying customers include a $151 million company, but a few months of revenue is not a controlled experiment. The argument above rests on the 95-5 maths, on Gartner's finding about irrelevant outreach, and on experience. It does not rest on a benchmark I can show you yet. ## Frequently asked questions **What is a buying signal in B2B sales?** A buying signal is a dated, public change at a company that makes it more likely to need what you sell soon, such as a hire into the role that owns your problem, a new leader in that seat, a funding round, a launch or a pricing change. It is different from intent data, which infers interest from browsing behaviour you usually cannot see or cite. **What are the strongest B2B buying signals?** In my experience, a hire into the role that owns the problem you solve is the strongest, because it proves the company has decided to spend money on that problem and names who will own it. A new leader in the buying seat and a recent funding round come next. A single signal is weak; two or three at the same company in the same month are much stronger. **How many B2B buyers are in market at any time?** LinkedIn's B2B Institute puts it at about 5%, stating that 95% of your potential buyers are not ready to buy today. Its examples include 80% of companies changing banking services once every five years and 75% buying computers once every four years. **What is the difference between buying signals and intent data?** Buying signals are public events you can link to and date, such as a job post or a funding announcement. Intent data is usually third-party data that infers interest from what people at a company read or search. You can cite a buying signal in a message; you cannot politely tell a stranger you know what they have been browsing. **How fast should I act on a buying signal?** Within days, not weeks. My working rule is to reach out inside two weeks of a hire, a new leader or a launch, and inside a month of a funding round, because after that the plans are set and someone else has usually been in touch. This is my rule of thumb, not a measured benchmark. **Can software track buying signals for me?** Yes. Tools such as InstinctGTM watch a list of companies you name for hires, new leaders, funding, launches and pricing changes, and store each event with a link, a date and a confidence. InstinctGTM then drafts the message from your own mailbox, and a person approves it before it sends. ## Start with ten companies, not five hundred Pick the ten companies on your list you would most like as customers, and look at each one's careers page today. If one of them is hiring for the role that owns your problem, you have your first signal-based email, and you can write it before lunch. If you want the watching done for you after that, start at [instinctgtm.com](https://instinctgtm.com), where pasting your website gets you a go-to-market plan back for free.