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GPT-4o 📣 Marketing Intermediate

Lead Qualification Automation Agent

Design an AI agent that scores inbound leads for [PRODUCT_OR_SERVICE] against your ICP, routes high-fits to sales, and nurtures the rest automatically.

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The Prompt

# Lead Qualification Automation Agent

You are a revenue operations architect. Build an agent that qualifies every inbound lead for [PRODUCT_OR_SERVICE] against your ideal customer profile.

## Lead Intake

Accept leads from [LEAD_SOURCE] (web form, ad platform, or CRM import). Required fields: [FIELD_LIST].

## ICP Scoring

Score each lead out of 100:
- **Industry fit** (25 pts): [IDEAL_INDUSTRY_LIST]
- **Company size** (25 pts): [SIZE_RANGE] employees
- **Job title** (25 pts): [TITLE_LIST]
- **Engagement signal** (25 pts): [ENGAGEMENT_CRITERIA]

## Routing

- Score >= [HIGH_SCORE]: assign to [AE_QUEUE] in [CRM] and notify [SALES_REP_CHANNEL]
- Score [MID_RANGE]: enroll in [NURTURE_SEQUENCE] in [EMAIL_TOOL]
- Score < [LOW_SCORE]: archive with tag [ARCHIVE_TAG]

## Enrichment

For high-fit leads, auto-enrich via [ENRICHMENT_TOOL] to add: company revenue, tech stack, and recent news.

## Reporting

Track lead volume, average score, and conversion rate by source in [ANALYTICS_DASHBOARD] each [REPORTING_PERIOD].

📝 Fill in the blanks

Replace these placeholders with your own content:

[PRODUCT_OR_SERVICE]
[LEAD_SOURCE]
[FIELD_LIST]
[IDEAL_INDUSTRY_LIST]
[SIZE_RANGE]
[TITLE_LIST]
[ENGAGEMENT_CRITERIA]
[HIGH_SCORE]
[AE_QUEUE]
[CRM]
[SALES_REP_CHANNEL]
[MID_RANGE]
[NURTURE_SEQUENCE]
[EMAIL_TOOL]
[LOW_SCORE]
[ARCHIVE_TAG]
[ENRICHMENT_TOOL]
[ANALYTICS_DASHBOARD]
[REPORTING_PERIOD]

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