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πŸ¦€ ClawHub

Beta Lead Scoring

by @1477009639zw-blip

AI-powered B2B lead scoring model. Predicts conversion probability for potential customers using machine learning (LightGBM + SHAP). CSV upload or API integr...

TERMINAL
clawhub install betaleadscore

πŸ“– About This Skill


name: lead-scoring description: AI-powered B2B lead scoring model. Predicts conversion probability for potential customers using machine learning (LightGBM + SHAP). CSV upload or API integration. metadata: openclaw: emoji: "🎯" requires: bins: [python3] always: false

Lead Scoring Model

AI-powered B2B lead scoring using LightGBM + SHAP for interpretability.

Usage

python3 score.py --input leads.csv --output scores.csv

Features

  • CSV upload β†’ scored leads with conversion probability
  • Top features driving each score (SHAP)
  • Ranked priority list
  • Pipeline: LightGBM β†’ SHAP β†’ actionable insights
  • Input CSV Format

    company_size,industry,page_views,email_opens,form_fills,job_title_score
    50,tech,120,5,2,8
    200,finance,45,2,0,5
    

    Output

    lead_id,score,probability,top_factor,risk_level
    1,0.85,85%,page_views,hot
    2,0.32,32%,low_engagement,cold
    

    Notes

    MIT-0 License | Requires: python3, lightgbm, shap, pandas

    πŸ’‘ Examples

    python3 score.py --input leads.csv --output scores.csv
    

    πŸ“‹ Tips & Best Practices

    MIT-0 License | Requires: python3, lightgbm, shap, pandas