Lead Scoring
Skill Verifiziert AktivBuild 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.
Funktionen
- Lead scoring model design framework
- Calculation of lead scores
- Setting MQL qualification thresholds
- Segmentation of leads by score
- Suggesting model improvements
Anwendungsfälle
- 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
Nicht-Ziele
- Accessing CRM data directly
- Knowing actual conversion rates
- Predicting individual lead outcomes
- Accounting for offline interactions
Installation
npx skills add guia-matthieu/clawfu-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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