Not every company in your TAM is in-market right now. Some are six months away from even considering a purchase; others are actively comparing vendors this week. The trouble is telling the two apart before you spend budget on either.
Meta Insyt’s Intent Signals service identifies accounts showing active buying behavior — research activity, content consumption, and other in-market indicators — so marketers know who to make aware of your existence, and sales knows exactly who to aim at because they can actually convert.
Accounts actively researching topics, categories, or competitors relevant to your product
Intent scoring to prioritize outreach by likelihood-to-buy, not just fit
Segmented lists for marketing (awareness/nurture stage) versus sales (active pursuit stage)
Ongoing monitoring, so accounts entering an in-market window are flagged as they happen, not months later
Topic-level telemetry showing exactly which pain points each account is exploring
Marketing teams tired of spending impressions on accounts that will never convert, and sales teams tired of chasing prospects who aren’t ready to buy. Intent signals let both teams work the same account list with the right message at the right stage.
We define the topics and categories that indicate real buying intent for your product, then monitor and score accounts against those signals. The result is two working lists from one dataset: a broader awareness list for marketing, and a tighter, higher-intent list for sales to prioritize.
Fit tells you who could buy. Intent tells you who’s about to. Combining the two is how you stop spreading effort evenly across a flat list and start concentrating it where it actually pays off.
Readytobuildyourhighest-intentpipeline?
A revenue management SaaS vendor used validated, technographically enriched contacts to reach competitor accounts with relevant, deliverable outreach.