Firmographics tell you who a company is. Behavioral dimensions tell you how they act. The best ICP filters combine both — screening in accounts that match your profile AND are demonstrating signals that indicate they're ready to buy.
What tools a company uses reveals a great deal about their sophistication, their existing workflows, and what they're likely to buy next. If you sell a HubSpot integration, companies using HubSpot are pre-qualified by definition. If you sell to outbound-heavy sales teams, companies using Outreach or Salesloft are signaling they have the budget and process maturity you need.
Tools like BuiltWith, Clearbit's technographic data, and G2's buyer intent all provide technology stack data. Kopimore surfaces this in the company profile for identified visitors.
Job postings are a leading indicator of purchase intent. A company posting for a "VP of Sales" is likely to be investing in sales tools. A company hiring "Head of Data Analytics" signals a growing data maturity — relevant if you sell analytics-adjacent products. Monitor LinkedIn Jobs and job aggregators for the titles most predictive of your ICP.
A Series B funding announcement is not just news — it's a signal that a company has 18–24 months of runway, is under pressure to grow, and has budget to deploy. Funding events from sources like Crunchbase, Pitchbook, or Harmonic create a time-limited outreach window where urgency and receptiveness are both elevated.
First-party behavioral data — pages visited, session depth, return visits — is the highest-signal behavioral dimension because it's direct evidence of active evaluation. A company researching your pricing page is more "in ICP" than one that merely matches your firmographic criteria. Layer this on top of firmographic filtering, don't use it as a substitute.