Lead Scoring
Skill Verified ActiveBuild and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization
To enable sales and marketing teams to effectively prioritize leads by building and applying robust scoring models that reflect buyer fit and intent.
Features
- Lead scoring model design framework
- Calculation of lead scores
- Setting MQL qualification thresholds
- Segmentation of leads by score
- Suggesting model improvements
Use Cases
- Designing a new lead scoring model for B2B SaaS
- Prioritizing inbound leads for SDR follow-up
- Setting MQL thresholds for sales handoff
- Analyzing lead quality by source
Non-Goals
- Accessing CRM data directly
- Knowing actual conversion rates
- Predicting individual lead outcomes
- Accounting for offline interactions
Installation
npx skills add guia-matthieu/clawfu-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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