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lead-prioritization

Rank leads by conversion probability using weighted fit, intent, and engagement scoring.

58|25|Updated Feb 16, 2026
Search Tags:#engagement#crm#sales-automation#outreach#lead-scoring#lead-prioritization#intent-signals
One-click install
npx skills add https://github.com/kenny589/gtm-flywheel --skill lead-prioritization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-prioritization
Source: https://github.com/kenny589/gtm-flywheel/tree/main/signal-scoring/lead-prioritization
Command: npx skills add https://github.com/kenny589/gtm-flywheel --skill lead-prioritization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prioritize outreach by ranking leads according to their likelihood of conversion, reducing time spent on low-potential targets.

Core Features & Use Cases

  • Composite scoring across Fit, Intent, and Engagement with decay-aware re-scoring
  • Daily priority queue generation and re-ranking based on new signals
  • CRM-ready outputs that guide multi-channel outreach and sequencing

Quick Start

Provide a fresh list of leads and run the scoring model to output a ranked priority queue for outreach.

Frequently Asked Questions about lead-prioritization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prioritize leads by conversion probability for SDR outreach?▼

Lead prioritization ranks leads by conversion probability using a weighted scoring model. It combines fit, intent, and engagement to generate a dynamic priority queue for your daily SDR outreach.

How does decay-based lead scoring work with intent signals?▼

Decay-based lead scoring reduces the impact of older intent signals over time, ensuring recent engagement weighs heavier. This re-scoring mechanism updates your priority queue to reflect current interest levels accurately.

Can I integrate lead scoring with my existing CRM workflows?▼

Yes, the lead scoring model produces CRM-ready outputs designed for SDR workflows. You apply the model across new lead lists to guide multi-channel outreach and sequencing directly within your CRM environment.

What is the best way to rank new lead lists using fit and engagement?▼

The best way to rank new lead lists is applying a composite scoring framework across fit, intent, and engagement. This approach evaluates multiple dimensions simultaneously to output an accurately ranked outreach queue.

Does lead prioritization support basic data enrichment sources?▼

Yes, the lead prioritization model can integrate basic data enrichment sources. This allows the scoring framework to combine fit, intent, and engagement signals effectively by pulling in supplementary lead data.

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