01
ICP fit
Clarify the characteristics that make an account relevant before spending research time on it.
Category definition
What is research-led ABM intelligence?
Research-led ABM intelligence is the structured process of turning target-account questions into evidence-backed account context that sales teams can act on.
The core model
It connects five layers: ICP fit, account context, business signals, buying-group research and an evidence trail. The output is not simply a contact list. It is a structured view of why the account may fit, what may be changing, who may matter and what can be responsibly said based on public evidence.
02
Account context
Understand product, market, business model, customer context and other relevant company information.
03
Signals
Look for public hiring, expansion, product, leadership or other business signals that may create a useful why-now hypothesis.
04
Buying committee
Map relevant economic, functional, technical, champion and influencer roles where the evidence supports them.
05
Evidence
Keep source notes and distinguish documented facts from interpretation so the sales team can judge the research.
Why this differs from a generic lead list
A lead list answers “who could we contact?” Account intelligence adds “why this account, why these people, and what public evidence gives us a reason to act?” The two can coexist: broad tools can help discover accounts while deeper research can be reserved for priority targets.
RESEARCH THE NEXT ACCOUNT
Have target accounts but not enough context to act?
Preview the public evidence first, then request a focused 3-account pilot.