Intent data
Behavioral signals used to infer that an account or person is actively researching or considering a purchase in a given category.
In more detail
Intent data attempts to answer who is in the market right now. By observing behavioral signals, content consumption, research activity, and engagement patterns across the web, it infers which accounts appear to be actively investigating a category. The promise is to focus sales effort on accounts showing real interest rather than cold outreach to everyone.
Intent signals are probabilistic and noisy. They suggest possible interest, not confirmed buying intent, and the quality varies widely by source and methodology. Used well, intent data helps prioritize; treated as certainty, it leads teams to over-invest in accounts that were never really in the market.
Where this shows up at Ceven
Ceven can fold intent signals into a workflow, combining them with fit data to prioritize accounts and trigger the right follow-up. AI steps help judge noisy signals rather than treating every one as a buy sign. As always, Ceven acts across the customer's own systems rather than being the record of the account, with actions logged in the audit trail.