Signal-based marketing: Turning buyer behavior into pipeline

Jess Cook
11 Nov 2025
|
5
min read

Let’s face it: B2B marketers are still wasting budget on personas that look great on slides but fall apart in real life. “Mid-market IT managers in financial services.” “Directors of Marketing at SaaS companies with 200–500 employees.” Cute. But none of that tells you whether those people are actually shopping for your solution today.

Signals do.

Signal-based marketing is the upgrade your funnel needs. Instead of guessing who might be in-market, you act on proof they already are: the job change alerts, the competitor pricing page visits, the flurry of RFP downloads. These are the breadcrumbs your buyers leave when they’re evaluating. If you can capture and activate them, you cut wasted spend, show up at the right moment, and deliver leads sales actually trusts.

What makes signal-based marketing different

Traditional B2B targeting leans hard on firmographics: industry, revenue, employee count. Useful, but static. Signal-based marketing layers on real-time buyer behavior.

  • A security vendor sees IT leaders from a Fortune 500 company suddenly reading SOC 2 compliance guides.
  • A cloud platform notices multiple engineers from the same account comparing Kubernetes cost calculators.
  • A SaaS analytics company catches finance directors downloading three reports on “modern FP&A tooling” in a week.

Each action on its own is interesting. Together, they paint a picture: this account isn’t just relevant, it’s ready.

Signals > personas.

Why signals beat demographics every time

The B2B buying journey is a maze: multiple stakeholders, long research cycles, endless content touches before anyone talks to sales. Firmographics can’t capture that complexity. 

Signals can tell you:

  • When a buying cycle is heating up (surge in research activity).
  • What the team actually cares about (compliance vs. cost vs. integration).
  • Where to meet them (LinkedIn, Google, or even Slack via webhook).

Picture this: two companies both fit your ICP. One has gone dark for months. The other just had three managers join relevant LinkedIn groups, two directors download Gartner reports, and a VP poke around your pricing page. Which one deserves your ad budget?

The big benefits of going signal-first

Signal-based campaigns deliver results B2B teams can measure:

Higher response rates

Because you’re engaging in context. A cybersecurity firm running ads to “all CISOs in healthcare” will see weak engagement. But run campaigns the moment those CISOs start comparing endpoint vendors or reading breach response playbooks? CTRs double, and meetings actually materialize.

Lower wasted spend

Generic targeting bleeds budget. A DevOps tool can keep blasting “companies with 200+ engineers.” Or it can zero in on accounts where job postings reveal “Kubernetes migration,” engineers are reading Terraform tutorials, and budget owners are researching cloud cost optimization. Less spray, more signal.

Better buyer experience

Relevance earns trust. If a CFO has been reading about AI compliance risks, seeing your guide on “Auditing AI Models for SOX” feels like help, not spam. That’s how you move from interruptive ads to valuable touchpoints.

Agility at scale

Markets shift. New frameworks drop. Competitors launch. Signals let you respond in real time. A data observability startup can ramp campaigns when engineers spike searches for “dbt errors” or “Snowflake cost alerts,” instead of waiting for a quarterly plan refresh.

Stronger attribution

Because campaigns tie directly back to the signals that triggered them. Your board doesn’t just see “pipeline influenced.” They see: “30 opps sourced from competitor research signals; 20 closed from job-change triggered plays.”

Machine learning: your signal amplifier

B2B buyers generate too many signals for humans to track. That’s why machine learning turns signal-based marketing from theory into reality.

  • Pattern recognition: A SaaS HR platform discovers that “HRIS admin job postings + Glassdoor page activity + payroll benchmark downloads” predicts a 3x higher close rate.
  • Predictive modeling: An infrastructure vendor learns that “cloud migration webinars → AWS calculator searches → exec-level cost reports” almost always leads to an RFP within 90 days.
  • Real-time optimization: A collaboration tool can spike LinkedIn bids in milliseconds when competitor reviews trend in target accounts.
  • Anomaly detection: A data security vendor spots an unusual surge in “data breach response” searches among a cluster of healthcare accounts, and launches campaigns before rivals notice.
    Signal synthesis: Individually, a few GitHub repo stars or Slack community joins don’t mean much. Combined with competitor job postings and product comparison views? Strong buying intent.

It’s the difference between waiting for a form-fill and anticipating demand before your competitors do.

Firmographics vs. signals: the B2B showdown

Firmographics give you the “what:”  company size, vertical, ARR.

Signals give you the “why now:” competitor research, open RFPs, inbound spikes, job changes.

One helps you define TAM. The other helps you win pipeline. If you’re forced to choose, sales will take signals every single time.

Start activating signals with Vector

Firmographics are table stakes. Signals are the game-changer. In a world where 10+ buyers influence every deal and research happens off your site, the marketers who activate signals — and act on them in real time — will win.

Everyone else? They’ll keep burning budget on “ideal personas” that never convert.

Vector builds audiences from the signals your buyers are already leaving behind.
Instead of guessing who might be in-market, Vector shows you exactly who’s researching competitors, revisiting your site after a closed-lost, or reading your case studies — by name.

With Vector, you can:

Want to learn more? Vector has two plans for B2B marketers: Reveal shows you who’s ads-ready, Target lets you put your ads directly in front of them.

Case in point: UserGems

See how the UserGems demand gen team uses signals (like job changes and competitor research) to build ad audiences in Vector and deliver ads that show up when it matters most.

Peep the playbook →

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Jess Cook
11 Nov 2025
|
5
min read

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