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Lead Scoring Agent
by Internal Labs
0
Agent Template
<100
Summary
Summary
The Lead Scoring Agent is designed to evaluate inbound leads, assign a conversion score, and recommend the next best action for sales and marketing teams.
Overview
Overview
Not all leads are created equal. Without a consistent scoring model, teams risk wasting time on low-quality leads while high-potential prospects slip through the cracks. The Lead Scoring Copilot solves this by analyzing lead attributes and behaviors against historical MQLs and closed-won opportunities, producing both a numerical score and a clear next step.
The agent accepts lead_json including attributes such as source, channel, company size, industry, geography, recent touches, and web intent. It calculates a conversion score (0–1) and assigns a segment (e.g., A, B, or C) based on thresholds. It also outputs a next_action such as route to SDR, add to nurture, or request enrichment. Optionally, it can generate a plain-English reason string to provide additional context for the score, while keeping thresholds and logic coded for consistency.
By embedding intelligence into lead routing, the Lead Scoring Copilot improves conversion rates, accelerates response times, and ensures sales teams focus on the leads most likely to close.
Features
Features
- Purpose-built agent definition for automated lead scoring
- Conversion score (0–1) and segment assignment (A/B/C tiers)
- Clear next best action for each lead (route, nurture, enrich)
- Historical training on past MQL and closed-won patterns
- Optional plain-English explanation for transparency
- Best practices baked in for predictable, scalable scoring
- Prebuilt tools packaged for easy deployment and customization
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