AltaversityCoursesGTM 101What are Signals and Triggers?
Lesson 03 of 5

What are Signals and Triggers?

Last lesson, we built the ICP. The list of companies you should be selling to.

This one is about the rest of the question. Of those companies, which ones should you reach out to this week? Most of them are not in-market right now. Plenty of them never will be. The ones that are in-market leave traces. This lesson is about what those traces look like and how to act on them.

Why The Right Account Is Not Enough

You build a perfect ICP. You start reaching out. And most of it goes nowhere.

The targeting is right. The timing is wrong.

The accounts are in your ICP. They look like they should buy. But they're heads down on a launch, their budget is locked, or they're recovering from a chaotic quarter. Your message lands at the worst possible moment, gets ignored, and the account gets logged as "not interested" when really it was just "not now."

Most teams respond to this by reaching out more. Send more emails. Add more touches. Tighten the cadence. None of that fixes the underlying problem, which is that you are guessing about timing instead of reading it.

The fix is signals and triggers.

The Definitions

These two words get used interchangeably. They are not the same thing.

A signal is an observable event that suggests a company is more likely to buy now than they were last week.

It is information. Something changed.

A trigger is the specific moment that should cause you to act.

It is not just information. It is a decision point.

One way to remember it:

  • Signals tell you something changed.
  • Triggers tell you to do something about it.

A trigger is usually a stack of signals. One signal on its own is rarely enough to act on. Stack three together on the right account, and you have a trigger.

The Three Types of Signals

Not all signals are the same. They come in three flavors, and knowing which is which changes how you use them.

Type 01: Fit signals. These tell you whether a company looks like your ICP. Industry, headcount, tech stack, funding stage. They do not change often. They tell you who is worth watching. Fit signals are mostly stable. You update them quarterly, not weekly.

Type 02: Intent signals. These tell you the problem you solve is on their mind. They are researching the category, even if they have not talked to you yet. Reading reviews on G2, searching for competitors, showing up on intent platforms. Intent signals are usually anonymous. They tell you the company, not the person.

Type 03: Engagement signals. These tell you a specific person is interacting with your brand. They visited your pricing page, opened your last three emails, downloaded a report. Engagement signals are named. Real human, real action.

The strongest triggers combine all three. Right fit, active intent, and live engagement. That is when right account becomes right moment.

The Signal Quality Test

Half the "signals" sitting in your CRM don't predict anything. Job changes that fired six months ago. Pricing page visits from interns. Funding announcements for companies that already churned.

Before you add a new signal to your motion, run it through these three questions:

1. Does this signal correlate with closed-won deals?

Look at your last twenty closed-won opportunities. Did this signal fire on any of them before the deal opened? If the answer is "almost never," it is not a buying signal. It is noise.

2. Can you tell when it stops being true?

A signal is only useful if it has a freshness window. "Hired a new VP of Sales" is useful for about 90 days. After that, the new VP is no longer new and the signal is stale. If you cannot define when a signal expires, you will keep acting on it long after the moment is gone.

3. Do you have a play to run when it fires?

This is the most-skipped question. Tracking a signal you cannot act on is data hoarding. If a signal fires and your team's response is "interesting" instead of a specific play, kill the signal.

Acme Corp, Continued

Let's run this through the same Acme Corp from Lesson 2.

Acme is a 200-person Series B SaaS company. They are in your ICP. That is a fit signal.

Last month, they hired a new VP of Sales. Engagement on their LinkedIn page spiked. They are researching the category. That is an intent signal.

This week, three people from Acme visited your pricing page, and the new VP of Sales opened your last cold email. That is an engagement signal.

On their own, each of these is interesting. Stacked together, they are a trigger.

Right account. Right moment. Right person. This is when you reach out.

Stacking In A Real CRM

The example above shows three signals lining up neatly. In real systems, it is messier. Here is how stacking actually works operationally:

Tier 1: Single signal. One signal fires. Don't reach out yet. Drop the account into a watchlist with the signal date logged. Score: low.

Tier 2: Two signals within 30 days. Two signals fire on the same account inside a 30-day window. Promote the account from watchlist to "warming." Score: medium. Add to a high-touch nurture sequence, but still no direct outreach from sales.

Tier 3: Three signals within 30 days, including one engagement signal. Now it is a trigger. Score: high. Route to an SDR for a 24-hour outreach SLA.

The engagement signal requirement matters. Without it, you have a company that looks ready to buy but no specific human to reach. The 30-day window is the key knob. Tighter windows mean fewer triggers but higher quality. Wider windows mean more triggers but more false positives. Start at 30 and tune from there.

Why This Matters More In 2026

The shape of B2B buying changed.

Then: Buyers raised their hand early. You qualified them, worked the deal, and competed on capability.

Now: By the time they reach out, the decision is mostly made. Wait for them to come to you, and you are competing on a shortlist they already built.

The teams winning right now reach out at the right moment, with context. Not earlier. Not blasted.

Leads contacted within five minutes of a high-intent signal convert at rates dramatically higher than slower follow-ups. But the real bottleneck isn't five minutes versus an hour. It's five days versus same-day. Signal fires Monday. Data lands in CRM Wednesday. SDR reviews queue Friday. First touch goes out the following Monday. By then the buyer has talked to two competitors and your email is competing against an active sales process.

The fix isn't faster SDRs. It's a shorter pipeline between detection and action.

Three Mistakes Worth Naming

Mistake 01: Treating every signal like a trigger.

A pricing page visit alone is not a trigger. It is a data point. Wait for the stack.

Mistake 02: Watching signals you cannot act on.

If a signal fires and your team has no playbook for it, the signal is wasted. Only track signals you have decided in advance how to respond to.

Mistake 03: Confusing presence with intent.

Someone following your company on LinkedIn is awareness. Someone downloading a competitor comparison is intent. Distinguish between awareness and action.

Key Takeaways

  • Signals are observable events. Triggers are signals stacked into a moment worth acting on.
  • There are three types: Fit, Intent, and Engagement. The strongest triggers combine all three.
  • A signal is only worth tracking if it correlates with closed-won, has a freshness window, and has a response play ready.
  • The real bottleneck isn't five minutes versus an hour. It's five days versus same-day.
  • Start with three signals, one of each type. Run for 30 days. Prune the ones that didn't predict anything. Then add a fourth.

Up next: Lesson 4 — What is Outbound?

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