find-customers

To generate a B2B lead list, define a 6- to 10-attribute ideal customer profile including headcount, revenue, and tech stack. The Skill applies these ICP attributes across multiple sources to build a tiered prospect list ready for outreach.

Qualifying and tiering B2B prospects uses frameworks like BANT or MEDDPICC to evaluate fit. The Skill applies these frameworks to researched target accounts, assigning a Fit Score from 1 to 5 and categorizing prospects into Tier 1, 2, or 3 for prioritized outreach.

Yes, you can output B2B prospect research directly into a ready-to-import spreadsheet. The Skill structures data collection into columns like Company, Domain, Headcount, Fit Score, Trigger, Target Contact Name, and LinkedIn URL for immediate use.

B2B account research enforces structured data collection with strict de-duplication to ensure clean lists. It operates with built-in guardrails for hard constraints and ethical data use, ensuring all prospect information is gathered compliantly across multiple sources.

Hiring signals are not strictly required but serve as valuable triggers when identifying ICP-aligned target accounts. The Skill incorporates positive signals like hiring and funding, alongside negative signals, to determine prospect fit and the 'Why Now' outreach rationale.

An ideal customer profile (ICP) defines the specific traits of your best B2B target accounts. For effective prospecting, the Skill creates ICPs using 6 to 10 attributes, such as industry, geography, revenue, and tech stack, to accurately filter research.