Intent data is signal suggesting an account is researching a category or problem, sourced from third-party co-ops, a vendor's predictive model, or first-party triggers a team builds itself. Treat it as a hypothesis to verify, not a fact to act on.
Strip the marketing and three different products hide under the same "intent data" label. Bombora sells third-party signal: a co-op of publisher sites reports which companies are reading which topics, and a team gets a spike report back. 6sense sells a blended, scored platform, pulling in third-party signal plus its own predictive modeling to hand back a stage-and-score verdict without fully showing its work. Clay-native signals are a different category: instead of buying a data product, a team assembles first-party and web-sourced triggers itself, inside the same workflow tool running its enrichment and outbound.
Someone researching a category isn't the same as someone ready to buy, and intent signals decay fast enough that a lead worth acting on today may not be worth much by the time anyone gets to it. Even glossaries that define the term rarely address that gap directly. Any intent signal is a hypothesis to verify, not a fact to act on, and a process with no verification step before the signal turns into an email isn't doing the job a buyer expects of it.
A topic spike also tells a team a company, not a person, is reading about a category. It doesn't hand over a name to email or a reason beyond "this account looked at this topic," which is why almost nobody runs a raw intent feed alone. It needs a scoring layer, a routing layer, and someone deciding what "spiking" actually means for a specific pipeline, or a signal that's too broad produces noise instead of a lead.
Most teams already sitting on a Clay-native setup are producing more usable signal than they route anywhere on time. The sharper question before buying a platform isn't whether to evaluate intent data. It's whether the bottleneck is signal volume or activation, since a bigger, more expensive signal source doesn't fix a broken routing workflow. It just makes the pile of unactioned signal more expensive.
Intent data gets treated as a single, standardized product, when it's really three different bets on where useful signal lives and who does the work of finding it. Teams also skip the verification step, acting on a topic spike as if it were a confirmed buying signal instead of a hypothesis. The live AI-in-GTM glossary on this site covers the AI-framed version of this same gap; this entry stays on the pre-AI mechanics of what the data actually is and where it comes from.
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