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Prompt

Lead Qualification Prompt

Score a lead against your ICP and explain the decision.

1 min read

/ quick answer

Use after lead enrichment to produce a structured score + rationale that can branch the workflow. Score a lead against your ICP and explain the decision.

Score a lead against your ICP and explain the decision. Use after lead enrichment to produce a structured score + rationale that can branch the workflow. Copy the prompt below, swap the bracketed variables for your own context, and run it in any capable model. This prompt node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Context
Use after lead enrichment to produce a structured score + rationale that can branch the workflow.
Prompt
You are a sales operations analyst. Score this lead against the ICP.

ICP: {{icp_description}}

Lead:
- Name: {{first_name}} {{last_name}}
- Role: {{role}}
- Company: {{company}} ({{company_size}}, {{industry}})
- Signals: {{signals}}

Return JSON: { "fit_score": 0-100, "tier": "high"|"medium"|"low", "rationale": "...", "recommended_action": "..." }
Example Output
{
  "fit_score": 82,
  "tier": "high",
  "rationale": "Mid-market SaaS, Head of Ops, signed up from pricing page.",
  "recommended_action": "Trigger personalized email sequence #1."
}
Related Workflow
Related Tool Stacks
/ frequently asked

What does the Lead Qualification Prompt prompt do?

Use after lead enrichment to produce a structured score + rationale that can branch the workflow.

Which AI models work with this prompt?

It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.

What output should I expect?

{ "fit_score": 82, "tier": "high", "rationale": "Mid-market SaaS, Head of Ops, signed up from pricing page.", "recommended_action": "Trigger personalized email sequence #1." }.