Intent Data
Intent data is behavioral evidence that an account is in an active buying cycle: surges in topic research, review-site comparisons, competitor content consumption, or product usage patterns that historically precede a purchase. It answers the question outbound can never answer on its own — is this account looking right now?
It comes in three grades. First-party intent is behavior on your own properties: pricing page visits, content downloads, product usage. Second-party intent comes from partners and review platforms. Third-party intent is aggregated, usually anonymous, content consumption across publisher networks. The grades differ sharply in reliability, and mature teams weight them accordingly.
Intent data is one class of buying signal, not the whole category. Signal-based prospecting is broader: it combines intent data with public events like funding, hiring, and layoffs, plus proprietary signals you build into your own tooling. Teams that treat a third-party intent feed as their entire signal strategy typically over-pay for noise.
Frequently asked questions
Questions about intent data
- Is third-party intent data worth the cost for a mid-market team?
- Rarely as a standalone investment. Anonymous, network-level intent scores have low precision at mid-market deal volumes. First-party intent (your own site and product behavior) and public event signals usually outperform it at a fraction of the cost, especially when an agent is monitoring them continuously.
- How does intent data fit into an agentic prospecting loop?
- As one input to signal ingestion. An agent ingests the intent signal, resolves it to the right account and contacts, enriches the context, and maps it to your value proposition. The intent score alone never touches a sequencer — only the synthesized, human-approved angle does.
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