What problem does it solve?
RevOps and SDR teams frequently waste outbound effort on generic target account lists that do not match the actual profile of accounts their team has successfully won. This skill solves that problem by building candidate lists grounded in the real firmographic, technographic, and intent signals extracted from your closed-won account seed, ensuring every prospect aligns with proven win patterns.
Core Features & Use Cases
- Closed-won seed signature extraction: Analyzes win notes from 10-20 closed-won accounts to capture tacit win signals (e.g., "they had a public security compliance page") that standard firmographic filters miss.
- Cost-optimized Clay filtering: Runs deterministic firmographic gates first to narrow the candidate universe to 500-3000 accounts before LLM scoring, reducing Clay credit costs by 80-90% compared to unscored full-universe passes.
- Corroborated intent scoring: Requires dual-source verification for all intent signals (e.g., a VP of Revenue hire must be confirmed via both LinkedIn and a press release) to eliminate signal noise and false positives.
- Use Case: A RevOps leader running a quarterly territory refresh can use this skill to generate a ranked list of 100-500 lookalike accounts for each AE, pre-filtered to exclude existing customers, active opportunities, and banned domains.
Quick Start
Use the icp-list-builder skill to generate a ranked list of 200 target accounts from the attached closed-won seed CSV and filled ICP rubric, excluding all existing customers and active opportunities from the output.
