Lead Scorer
Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/1kalin/afrexai-lead-scorerWhat This Skill Does
The Lead Scorer skill transforms your raw pipeline data into actionable intelligence. By evaluating leads across three distinct vectors—Fit, Intent, and Engagement—it provides an objective, data-driven approach to sales prioritization. The skill automatically maps lead data to your ICP (Ideal Customer Profile) and applies industry-standard frameworks like BANT and MEDDIC to ensure that your sales efforts are directed toward the prospects with the highest probability of conversion.
Installation
To install the Lead Scorer, execute the following command in your OpenClaw terminal:
clawhub install afrexai-lead-scorer
Use Cases
- Pipeline Optimization: Quickly categorize a large volume of incoming leads to prevent 'lead leakage' where high-intent prospects remain uncontacted.
- Sales Coaching: Use the breakdown scores to identify where sales reps are missing critical qualification steps during discovery calls.
- Automated Routing: Pipe the output grades into your CRM to automatically route 'Hot' leads (Grade A) to senior account executives while placing 'Developing' leads (Grade C) into nurture sequences.
- Quota Forecasting: Gain a realistic view of your pipeline health by looking at the aggregate distribution of Lead Grades across your active opportunities.
Example Prompts
- "Score this list of 5 leads from the recent webinar and tell me which ones are ready for a demo: [Paste CSV Data]"
- "I have a prospect who visited the pricing page twice but lacks a clear budget. Use the BANT framework to help me frame my follow-up discovery questions."
- "Evaluate this lead: CEO of a Series B startup, high social engagement, requested a trial, but is located in a non-target territory. What is their final score and recommended action?"
Tips & Limitations
- Data Quality: The scoring accuracy is highly dependent on the quality of input data. Ensure your CRM fields are populated before running bulk scores.
- Customization: While the framework provided is a great baseline, feel free to adjust the point weights if certain behaviors (like 'Requested Demo') are significantly more valuable to your specific business model than others.
- Human-in-the-Loop: Always treat the output as a recommendation. Especially for high-stakes enterprise deals, use the skill to assist your decision-making rather than fully automating the final go/no-go choice.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-1kalin-afrexai-lead-scorer": {
"enabled": true,
"auto_update": true
}
}
}