Know when a target account is showing real buying signals, not a guess. Public LinkedIn activity, mapped to intent categories, surfaces which companies are actively engaging with topics tied to what you sell, Lusha’s first signal built on social content rather than firmographic or news data.ta.
Typical use case: Prioritize outreach toward accounts already engaging with your category, before they’ve talked to a single vendor.
What is LinkedIn activity intent signal?
Most intent data infers interest from anonymous browsing behavior. This signal is different: it’s triggered when a company’s own employees post LinkedIn content that maps to a specific intent category, a direct, attributable read on what an account is actually engaging with, not a guess based on traffic patterns.
What Lusha detects
Lusha tracks public LinkedIn posts from a company’s employees and matches them against Bombora’s intent category taxonomy, surfacing which topics an account is actively engaging with. This is a company-level signal: for legal reasons, the post’s author is included as metadata on the result, not as a separately tracked or billed contact signal. The signal never includes raw post text, only an AI-generated summary, a bounded 90-day activity window, and a cap of 50 posts per company. Since launch, Lusha has captured 6M+ signal instances across the companies it tracks.
Best for
- Sales — Prioritize accounts already engaging with topics relevant to your product, ahead of a cold outreach.
- Marketing — Build target lists around real, category-relevant engagement instead of firmographic guesswork.
- RevOps — Feed intent categories into account scoring alongside firmographic and news signals.
Turn this signal into action
Reach out while the interest is live
An account engaging with your category on LinkedIn right now is a narrower, more current opening line than a generic cold email.
Layer it into account scoring
Combine intent category matches with firmographic fit for a stronger composite signal than either alone.
Build a target list around real engagement
Filter for accounts actively posting on topics relevant to your category, instead of guessing from firmographics alone.
What you’ll get back
Real output, pulled live for this page, filtered to 51-200 employee companies to avoid skewing toward mega-enterprises. This filter alone matched 191,567 companies, here are two from the result set, names masked for illustrative purposes. Worth noting: 6M+ signal instances have been captured since launch, a different number from unique companies matched, since one company can generate multiple signal instances over time.
| Company | Industry | Location | Size |
| it|v##ure | Technology, Information & Media | London, UK | 51–200 |
| PHP A##ncy | Finance | Addison, TX | 51–200 |
Available data
Publication date · Intent category · Detected topics · Author (metadata only) · Mentioned contacts/companies · Post URL · AI-generated summary · Engagement counts (likes, comments, shares)
Refreshed weekly.
Available in
API · MCP.
