Person-level vs account-level intent data
Key Takeaways
- •Account-level intent tells you which company might be in-market; person-level intent tells you which individual is.
- •Account-level data is easier to source but leaves the "who do I contact" question unanswered.
- •Person-level data is more actionable for outreach, but only works well alongside company and role context.
- •The strongest GTM motions use both: account-level to prioritize where to look, person-level to know who to engage.
Nearly every B2B intent data provider will tell you they can spot "in-market accounts." Far fewer can tell you which specific person inside that account is actually paying attention.
That distinction - account-level versus person-level - shapes almost everything about how a GTM team can act on intent data.
| Account-level intent | Person-level intent | |
|---|---|---|
| Signal source | Aggregated across a whole domain/company (e.g. IP-based visits, firmographic intent) | Tied to an identified individual (e.g. named visitor, LinkedIn profile, verified contact) |
| Output | A score or flag on the account | A score or flag on the person, rolled up to their account |
| Strength | Broad coverage, good for account prioritization and ABM list-building | Directly actionable - tells reps and marketers who to reach out to |
| Weakness | Doesn't tell you who inside the account is engaged | Needs more data infrastructure and stronger privacy discipline |
What account-level intent data is good at
Account-level intent data aggregates behavioral and firmographic signals up to the level of a company or domain. It is typically sourced from things like content network activity, IP-to-company matching, and technographic data.
This makes it useful for building and prioritizing target account lists - the classic ABM use case. If you need to decide which 200 accounts out of 5,000 deserve attention this quarter, account-level intent is often enough.
Account-level intent answers "where should we look?" - not "who should we call?"
What person-level intent data adds
Person-level intent keeps the signal tied to an identifiable individual: a named website visitor, a specific LinkedIn engagement, a job change for a real person. That individual can then be mapped to their role within the buying committee.
The result is a much shorter path from signal to action. Instead of "Account X is active, go figure out who to call," a person-level system can say "this specific decision-maker at Account X engaged three times this week."
Why the strongest GTM motions use both
Account-level and person-level intent are not competing models - they answer different questions at different stages of the funnel.
A practical pattern many B2B teams use: account-level signals to build and prioritize the target account list, then person-level signals and DMU mapping to decide exactly who on that account to engage, and how.
- •Use account-level intent for ABM list prioritization and territory planning
- •Use person-level intent for outreach sequencing and multi-threading
- •Combine both inside a single GTM Intelligence Platform so neither team works from a different picture
Combine account- and person-level intent
See how Stairoids brings both together in one GTM Intelligence Platform.