Most GTM Teams Have Signals. Very Few Actually Use Them.

The Problem: Signals Without Decisions

Signals are spread across teams:

But no one connects them into clear answers:

So signals sit in dashboards… instead of driving pipeline.

Framework adapted and simplified by Shivani Seth

Most GTM Teams Have Signals. Very Few Actually Use Them.

Most teams don’t have a data problem. They have a decision problem.

Every GTM team today has signals: Product usage. Website visits. Hiring data. Partner relationships.

But access isn’t the issue.

The Problem: Signals Without Decisions

1. First-party → What they did

The simplest way to make signals usable is to organize them by what they answer:

Use this to:

2. Second-party → Who can help

Use this to:

3. Third-party → Why now

Use this to:

 

They’re easy to reference—but rarely useful when you’re deciding where to deploy sales capacity, how to prioritise regions, or when demand will actually materialise.

Signals Only Matter If They Drive Decisions

Signals don’t create pipeline. Decisions do.

Your system should convert signals into:

If You Only Implement One Thing

Trigger sales outreach within 24 hours of high-intent first-party signals.

Speed matters more than volume.

What This Looks Like in Practice

Scenario 1: High-Intent Account

Meaning: Strong buying intent

Action:

Scenario 2: Timing Signal

Meaning: Early buying window

Action:

The Goal Isn’t More Data. It’s Faster Decisions

A strong GTM system doesn’t ask:

“What signals do we have?”

It asks: What action should happen because of this signal?

Final Thought

The teams winning today aren’t collecting more signals. They’re acting faster on fewer.

Because in the end: Signals don’t drive revenue. Decisions do.