GTM Intelligence9 min read

Person-Level Intent: the complete guide for B2B GTM teams

Key Takeaways

  • Person-level intent tracks buying signals at the individual decision-maker level, not just the account level.
  • It reveals who inside a buying committee is actually engaged, not only which company is worth watching.
  • It combines naturally with DMU mapping, buying signals, and intent scoring to prioritize outreach.
  • Done well, it still respects privacy and GDPR requirements - person-level does not mean unrestricted personal data use.
  • Stairoids is built around person-level intent as its core differentiator, across 27 signal types.

Most B2B intent data tells you that an account is "in market." It rarely tells you who inside that account is actually involved.

Person-level intent closes that gap. Instead of stopping at the company, it tracks buying signals down to the individual decision-maker - so marketing and sales teams know exactly who is showing intent, not just where.

This is the foundation Stairoids is built on as a GTM Intelligence Platform.

Account-level intentPerson-level intent
Unit of analysisThe company or account as a wholeThe individual decision-maker within the account
What it tells youThis account is showing buying signalsThis specific person is showing buying signals
Typical use casePrioritizing which accounts to watchPrioritizing who to contact and how
Blind spotDoesn't reveal who inside the account is engagedNeeds company context to see the full buying group
Best combined withFirmographic and technographic filtersDMU mapping and buying-committee signals

What is person-level intent data?

Person-level intent data is buying-signal data collected and analyzed at the level of an individual person, rather than aggregated up to a company or account. Instead of "Company X visited your pricing page," it tells you "this named decision-maker at Company X visited your pricing page."

The signals themselves are often similar to what account-level tools use - website visits, content engagement, LinkedIn activity, job changes - but the resolution is different. Person-level intent keeps the signal tied to a real, identifiable individual for as long as that is legally and technically possible.

The difference is not the signal. It is the unit of analysis: a person, not just a company.

Why person-level intent matters for B2B GTM

B2B purchases are rarely made by a single, anonymous "account." They are made by groups of people - a Decision-Making Unit (DMU) - who each have different roles, priorities, and levels of engagement.

Account-level intent data can tell a sales rep that an account is active, but it leaves the hardest question unanswered: who do you actually call? Person-level intent answers that question directly, which is why it pairs so naturally with DMU mapping and buying-committee analysis.

  • Faster, more relevant outreach because reps know who to contact
  • Better multi-threading across a buying committee instead of single-threaded deals
  • Marketing and sales alignment on the same, named individuals - not just an account list

How Stairoids applies person-level intent

Stairoids is built as a GTM Intelligence Platform around 27 signals, many of which are captured and reported at the person level: website visitor identification, LinkedIn engagement, job changes, and more.

Those signals feed into DMU mapping (to understand who the person is within the buying committee) and into intent scoring (to understand how strong and how recent that person's engagement is), so agencies and sales teams get a single, prioritized view of who to act on.

Explore person-level intent in depth

See person-level intent in action

Discover how Stairoids tracks buying signals down to the individual decision-maker.

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