The Three B2B Signals Every GTM Team Should Know — and When to Use Each

Everyone in B2B GTM talks about signals. Intent signals. Buying signals. Expansion signals. Trigger events. Market signals. The vocabulary has expanded faster than the shared understanding of what any of it actually means.

This matters because signal type determines signal usefulness. A team reaching for intent data to find companies entering a new market will get the wrong answer — not because the data is bad, but because intent signals answer a completely different question. The same tool applied to the wrong use case produces confident, expensive misdirection.

This post maps the three main signal categories as Pubrio defines them — intent signals, firmographic events, and expansion signals — what question each one actually answers, and when each one is the right call. If your GTM stack includes any signal layer at all, the distinction determines how much of it you are actually using correctly.

Intent Signals: Who Is Researching, Not Whether There Is a Real Project

Intent signals track content consumption behavior — which companies have employees visiting pages, reading articles, or engaging with content on a given topic. A spike in activity around "contract lifecycle management" or "enterprise security" is read as a signal that someone at that company is in a research phase.

The data is genuinely useful in the right context. If you already have a shortlist of target accounts and you want to know which ones are active right now, intent data gives you a prioritization layer. Reaching out to an account that is actively researching your category is better than cold outreach to one that is not. 91% of B2B marketers now use intent data to prioritize accounts, and the intent data tools market is projected to reach $4.8B by 2032.

The misuse pattern is treating intent as a trigger for net-new account discovery. A spike in content consumption does not confirm that a budget exists, that a project has been approved, or that the company is in a position to buy. It tells you that someone at the company found the topic interesting. That is a weak signal when you are trying to identify accounts genuinely in motion — and 87% of organizations already report unreliable or inflated intent signals from their current providers (DemandScience, 2025).

Intent data is also heavily skewed toward English-language content and Western markets. A company in Vietnam actively researching enterprise software will generate very little detectable intent signal if their research happens on local-language platforms and regional forums. The intent layer does not see that activity at all.

When to use it: Prioritizing outreach to accounts already in your pipeline, or identifying which existing targets are showing active research behavior. Pair it with firmographic or expansion data for context — intent alone does not tell you enough.

Firmographic Events: What the Company Is, Not What It Is Doing

Firmographic event data covers structural changes to a company: a funding round closed, a new executive joined, headcount crossed a threshold, a product line launched. These are facts about what the company is and how it is constituted — not evidence of what it is doing in a specific market right now.

This is extremely useful for ICP filtering and trigger-based outreach. A Series B funding announcement is a legitimate trigger — the company just got budget and is likely hiring and buying tools. A C-suite hire in a function relevant to your product is a reasonable moment to re-engage. Firmographic events tell you when a company enters a profile that looks like your best customers. According to Forrester, 92% of B2B buyers begin the purchasing process with at least one vendor already in mind — which means being on the shortlist before a formal evaluation starts is the only thing that consistently wins deals.

The gap is geography and timing specificity. A company that raised $40M may be deploying that capital in North America, Southeast Asia, or both. The funding event does not tell you which markets the company is entering or when. A CFO hire tells you the company is maturing financially — it does not tell you whether that maturity includes entering your market.

Firmographic data is also aggregated and English-language-first by default. It captures what gets covered in business press and funding databases. Regional expansion activity — a Vietnamese company opening a Singapore office, a Korean manufacturer registering an entity in Indonesia — is systematically underrepresented unless the data layer sources directly from local registries.

When to use it: ICP scoring, account tiering, trigger-based sequences tied to funding rounds or leadership changes. Strong for known-account monitoring. Weaker for finding accounts your team has not already identified.

Expansion Signals: Evidence That a Company Is Entering a Market Right Now

Expansion signals are a different category entirely. They are not behavioral (content consumption) or structural (company profile changes) — they are geographic and temporal. They answer the question: is this company actively entering a new market, and how far along are they?

The evidence base includes legal entity filings, office registrations, executive hires in a specific market, local job board postings for regional roles, local-language advertising campaigns, and licensing activity. These are not inferred signals. They are documented events sourced from government registries, regional platforms, and local data sources — with timestamps.

The practical difference is what you can act on. A company that filed a legal entity in Thailand 10 days ago, posted six operations roles on a Thai job board, and launched a Thai-language ad campaign is not just a company that looks like a good ICP match. It is a company in an active vendor selection window, right now, for the vendors it will need to operate in that market. That window is typically 2 to 6 weeks from first signal before the shortlist closes.

Pubrio tracks 16 of these signal types across 200+ markets, sourced from 50+ local data providers and refreshed daily. The signal categories span people movements (hires, executive moves, team scaling), presence (new offices, legal entities, licenses), growth (funding, partnerships), and marketing activity (ad campaigns, press, events). Each signal carries a source, a market, and a timestamp — not an inferred score.

When to use it: Net-new account discovery in markets your team has not yet identified. Finding companies in an active expansion window before the vendor shortlist forms. Feeding AI agents that need to act on real-time market entry events, not static profiles.

The Three Work Together — They Are Not Interchangeable

The error most GTM teams make is not using the wrong signal type — it is using one signal type as a substitute for the other two.

Intent data without expansion context tells you someone is researching, not whether there is a real project tied to market entry. Expansion data without firmographic context tells you a company is moving, but not whether it matches your ICP. Firmographic data without timing context tells you a company looks right, but not whether the moment is right.

The signal stack that actually works combines all three: expansion signals to surface accounts in active market entry motion, firmographic data to confirm the account matches ICP criteria, and intent data to identify who at the company is actively in research mode once the account is qualified.

The sequence matters. Most teams run it in reverse — starting with intent (who is reading about my category) and then checking firmographic fit. That approach misses every company that is entering a market but has not yet started researching vendors in English-language content. Those are the accounts where being first in the conversation creates real pipeline, because the shortlist has not formed yet. 6sense found that 94% of buying groups had already ranked preferred vendors before making first contact with any of them — and the winning vendor was on the Day One shortlist 95% of the time. Expansion signals find accounts before Day One exists.