From Noise to Signal: How to Use Buyer Intent to Actually Drive Revenue

The phrase "intent data" has promised more than it's delivered for years. Ask any marketer or seller and you'll hear it: "The data says they're interested, but no one's picking up the phone."

So what's the problem? It's not that intent data is useless — it's that we've been treating data like a silver bullet instead of what it really is: a noisy, probabilistic signal that needs context, triangulation, and action.

In this issue, I want to reframe how go-to-market teams think about intent — and give you a more modern, strategic lens for making it useful in real life.

Intent ≠ Signal (And That Matters)

Intent is a nice idea. A buyer shows interest, and we act. But in practice, a single webinar registration, website visit, or content download is not "intent" — it's a flutter of activity. A signal.

What you need is a system that can capture, interpret, and act on these signals — ideally in real time.

That's the job of today's GTM motion: sensing, not just storing.

From Industrial Marketing to Sensing GTM

Most B2B orgs are still running their demand engine like a factory line: capture the MQL, score it, ship it to sales, rinse, repeat.

But buyers don't move like that. They act more like weather systems than widgets — forming and reforming buying committees, researching anonymously, shifting mid-funnel. If your GTM motion is stuck in an industrial model, you'll miss the shifts that matter.

It's time to shift from warehousing data to forecasting behavior.

Signal = Something You Can Act On

Not all signals are created equal. Here's a better way to think about the three that matter:

• Profile Signals – Are they a fit at all? (Firmographics, technographics, buying roles)
• Readiness Signals – Is now the right time? (Hiring trends, funding, tech changes)
• Interest Signals – Are they showing actual activity? (Site visits, ad clicks, webinar attendance)

And instead of debating if it's first-, second-, or third-party data, ask yourself: Did we generate this signal ourselves? Or did we acquire it from somewhere else?

If your team is only looking at one of those — or treating every signal as equally meaningful — you're going to waste time and budget.

Patterns > Points

A single signal is just that — a moment in time. But a pattern of signals across a buying group? Now we're talking.

• One person registers for a webinar = maybe
• Four people from the same company visit your pricing page, download a case study, and view your integration docs = absolutely

Signals gain meaning in context. That's where AI can be a powerful multiplier — not because it replaces GTM strategy, but because it helps stitch together weak signals into strong narratives.

6 Ways to Activate Intent Across Your GTM

If you're not aligning your go-to-market motions around signal strength, you're likely spraying and praying. Here's how to make intent actionable across GTM motions:

Want alignment across revenue teams? Start by agreeing on which signals matter, and when they're strong enough to act on.

Are You Ready to Scale Intent?

Before you pour more dollars into data providers, check your infrastructure. If you answered no to many of these, it's not time to "scale intent." It's time to build your sensing system. If yes, you're likely ready to expand your usage of intent data.

The Future of Intent is Agentic

With the rise of AI copilots and agentic workflows, you can now move from knowing to doing — in real time. That means:

• Surfacing in-market accounts automatically
• Routing them to the right rep or workflow
• Delivering personalized, signal-based content or offers
• Triggering lifecycle campaigns across the funnel

Intent becomes more than data — it becomes your go-to-market operating system.

Signal is a Team Sport

High-performing GTM teams don't just buy intent data. They operationalize it. They unify around it. They measure, refine, and act on it.

And most importantly, they know that no one signal tells the whole story. But patterns of signals — when interpreted through the lens of readiness, fit, and engagement — tell you exactly where to focus.

Stop mining. Start forecasting.