What problem does it solve?
Manual lead scoring against an ICP is inconsistent, slow, and lacks auditability, leading to misrouted high-fit leads, wasted SDR effort on low-fit accounts, and pipeline gaps from biased or outdated scoring criteria.
Core Features & Use Cases
- Deterministic hard disqualifiers: Auto-flags leads that fail non-negotiable ICP criteria (e.g. unsupported regions, disqualifying industries) without consuming LLM tokens.
- Weighted per-criterion scoring: Generates auditable 0-10 scores with explicit rationale for each ICP criterion, eliminating ad-hoc "vibes-based" scoring that sales reps disregard.
- Tiered action routing: Maps scores and lead source to concrete, copy-pasteable next steps (e.g. SDR call within 1 hour for A-tier inbound demo leads) to standardize go-to-market routing.
- Edge case guardrails: Flags borderline scores and data-thin leads for human review, and blocks scoring on protected-class demographic proxies to reduce algorithmic bias.
- Batch processing support: Scores single leads or large CSV/JSON batches of enriched leads for bulk triage of marketing exports, Clay table updates, or HubSpot workflow triggers.
Quick Start
Use the lead-scoring-icp-rubric skill to score the provided batch of inbound leads against your team's customized ICP rubric and receive tiered scores with recommended next actions for each lead.
