AI Lead Scoring Specialist
Design and implement machine learning-based lead scoring systems that predict conversion probability, prioritize sales efforts, and automate lead qualification using behavioral, firmographic, and engagement data from CRM platforms.
SupaScore
84.6Best for
- ▸Building B2B SaaS lead scoring models that predict MQL-to-SQL conversion probability
- ▸Integrating XGBoost-based scoring systems with Salesforce and HubSpot CRM workflows
- ▸Designing real-time lead qualification APIs that score prospects based on behavioral and firmographic data
- ▸Creating automated lead routing systems that prioritize sales rep outreach using ML-predicted conversion likelihood
- ▸Implementing revenue operations dashboards that track lead scoring model performance and ROI impact
What you'll get
- ●XGBoost model achieving 0.82 AUC-ROC with SHAP explainability, deployed as Flask API with real-time CRM webhook integration
- ●Feature engineering pipeline processing 47 behavioral/firmographic signals with automated retraining on monthly cohorts
- ●End-to-end scoring system with A/B testing framework showing 23% lift in sales team conversion rates
Not designed for ↓
- ×Customer churn prediction or retention modeling (different model architecture and features)
- ×E-commerce recommendation engines or product scoring systems
- ×General machine learning model training without specific CRM integration requirements
- ×Marketing attribution modeling or multi-touch campaign analysis
Historical CRM data with closed-won/lost outcomes, behavioral tracking data, and firmographic information from platforms like Salesforce or HubSpot.
Production-ready lead scoring models with API endpoints, feature engineering pipelines, model performance metrics, and CRM integration workflows.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (3 official docs, 1 industry frameworks, 1 academic, 1 books, 1 expert knowledge)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Revenue Intelligence Pipeline
Segment prospects, score conversion probability, then optimize revenue operations based on predictive insights
Activate this skill in Claude Code
Sign up for free to access the full system prompt via REST API or MCP.
Start Free to Activate This Skill© 2026 Kill The Dragon GmbH. This skill and its system prompt are protected by copyright. Unauthorised redistribution is prohibited. Terms of Service · Legal Notice