B2B Buyer Intent Signals

The B2B Buyer Intent Signals dataset delivers a weekly account-level view of which companies are actively researching which product and service topics. Each signal row keys a company domain to a topic from a roughly 8,000-term B2B taxonomy and carries a composite 0–100 intent score, a week-over-week surge delta, a signal-strength tier, the number of active researchers at the account, content-interaction volume, and a research-stage classification from awareness to decision — with firmographic context (employee range, industry, country) on the same row so accounts can be tiered without a second join.

Signals are assembled from account-level content-consumption sources and first-party research activity on public surfaces, normalized to a fixed topic taxonomy, and scored into the composite metrics on a weekly cadence — the refresh rhythm the intent-data category has standardized on. Coverage targets 5M+ weekly company-topic signal rows across 3M+ monitored company domains, global with the deepest coverage in North America and Europe, and every row joins to ComFinData's firmographic and technographic datasets by company domain.

The feed is built for revenue teams that need to reach in-market accounts before competitors do: ABM and demand-generation leads selecting and tiering target accounts by live topic surge, RevOps managers routing SDR effort toward accounts that are actually researching, sales development teams timing outreach on long sales cycles, and B2B agencies targeting campaigns for their clients — delivered as a warehouse-ready data subscription rather than an enterprise-platform contract.