Signals
A useful buying signal is a dated, verifiable event, not a probability score. The difference decides whether your outreach lands in a real buying window or a guessed one.
Ty Bibas, Founder, PulsePoint Strategic · June 29, 2026 · 8 min read
A buying signal is worth acting on when it is a specific, dated, verifiable event, not a probability score. A CFO who started three weeks ago is a signal. A company that "showed intent" because someone there read two articles about your category is a guess wearing a signal's clothing. The whole value of signal-based outbound rests on that distinction, so it is worth being precise about it.
Start with how little access you actually get. Gartner found that B2B buyers spend only 17 percent of their total purchase journey meeting with potential suppliers, and when they are weighing several vendors, any single sales rep gets 5 to 6 percent of their time. The decision is mostly made in rooms you are not in.
17%
Share of the B2B buying journey spent meeting with all potential suppliers combined (Gartner).
That trend is hardening, not softening. In a Gartner survey of 646 buyers who had recently completed a purchase, 67 percent said they would rather buy without talking to a sales rep at all. If buyers give you a sliver of their attention and would prefer to give you none, the only way to earn a reply is to show up at the rare moment something changed for them. Timing is not a nice-to-have on top of the message. It is most of the message.
This is where most "signal" tools quietly fall down. Third-party intent data infers interest from anonymized browsing and content consumption, then scores accounts as warm. The trouble is precision. An audit of 47 B2B intent-data deployments by The Starr Conspiracy put the median precision of topic-based intent signals at 0.51, which is close to a coin flip on whether a flagged account is actually in market.
0.51
Median precision of topic-based third-party intent signals across 47 audited deployments (The Starr Conspiracy, 2024).
Forrester saw the same problem from the buyer side: in its Q1 2025 evaluation of intent-data providers, half of the companies using intent data reported too many false positives. A trigger event is a different animal. It is not an inference about what someone might be feeling. It is a fact that happened on a date you can cite: an acquisition closed, a new chief risk officer was named, a fund announced a platform investment. You can defend it with a public link, which means you can write to it without guessing.
Intent data tells you a probability. A trigger event tells you what happened, and when. Only one of those gives you a sentence you can defend in the first line of an email.
The reason a dated event beats a score is that events have a clock on them. The clearest evidence comes from lead-response research rather than from outbound, but the mechanism is identical: relevance falls off a cliff. The canonical Harvard Business Review study audited 2,241 companies and found that firms attempting contact within an hour of an inbound query were nearly seven times more likely to qualify the lead than firms that waited even one more hour.
7x
Higher odds of qualifying a lead when contact is attempted within one hour versus two (Harvard Business Review, n=2,241).
Outbound windows are longer than an inbound web form, but the shape is the same. A new executive is most open to fresh relationships in their first 60 to 90 days, before they consolidate around the vendors they inherited. A capital event is most actionable in the first few weeks, while the money is being allocated. Wait a quarter and you are not early with a relevant angle, you are tenth with a generic one. A signal without a decay window is just a fact. A signal with a decay window is a reason to send today.
A fair objection to event-based outbound is that real triggers seem rare. They are not. Spencer Stuart tracked 147 CEO transitions in the S&P 1500 in 2024 alone, with average CEO tenure at departure falling to 9.2 years from 10.3 in 2021. Leadership is turning over faster, which means the supply of high-intent leadership-change windows is structurally rising.
147
CEO transitions in the S&P 1500 in 2024, with average tenure at departure down to 9.2 years (Spencer Stuart).
The same holds for deals. Bain & Company put 2025 global M&A at $4.8 trillion in value, the second-highest total on record and up 36 percent year over year, with private-equity-backed deals alone near $1.8 trillion. Every one of those transactions resets vendor relationships, reporting lines, and budgets. The events are not scarce. What is scarce is the discipline to reach the right person while the event is still shaping decisions.
There is also direct evidence that event-anchored outreach wins more. Champify analyzed 230,000 former champions across roughly 7,000 opportunities and found that selling to a known contact who changed jobs closed at a 37 to 39 percent win rate, versus under 19 percent for cold outbound. That figure mixes a warm relationship with a job-change trigger, so I would not read it as the effect of the trigger alone. But the direction is unambiguous: a dated, relevant reason to reach out, tied to a person and a moment, converts far better than a list pulled on firmographics.
So the test for any signal is simple. Can you name the event, cite the date, and link the source? If yes, you have something to write to, and a window to write to it in. If all you have is a rising score and a vendor's assurance that the account is warm, you have a guess. The companies that win the buying-signal game are not the ones with the most signals. They are the ones that act on the few real ones before the window closes.
Sources
PulsePoint Strategic puts this into practice as a done-for-you service: we detect the signals, draft in your voice, and you approve every send. See the signal intelligence page, or run the numbers with the ROI calculator.
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