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Execution Framework

The "Relevance-First" Email Script

A framework for AI-generated outreach that bypasses spam filters by proving human-level research in the first sentence.

01. Observation

Start with a verifiable fact about them. This proves you aren't a generic bot.

02. Insight

Connect that fact to a likely problem. This proves you understand their world.

03. Solution

Offer a specific mechanism (not a vague benefit) that solves that problem.

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The Framework

Subject: {{observation_trigger}} (e.g. "Your new VP of Ops") Hi {{first_name}}, I saw you recently {{action_trigger}} (e.g. hired a VP of Ops), which usually means you are about to run into {{specific_problem}} (e.g. data silos between Sales and Ops). Most teams try to solve this by {{common_mistake}} (e.g. buying more tools), but that usually just adds noise. We built a system for {{competitor_or_peer}} that solved this by {{solution_mechanism}} (e.g. automating the handoff via n8n). Worth a peek? - Michael
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The AI Prompt

For ChatGPT / Claude

"Research the prospect's LinkedIn recent activity. Identify one specific operational change (hiring, posting, commenting). Map that change to [Problem X]. Then, write an email using the 'Relevance-First' framework above. Keep it under 75 words."

Model: GPT-4o Temp: 0.7
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Real-World Examples

Scenario A: Hiring

"Saw you just hired 5 SDRs. Usually that breaks lead routing logic in Salesforce. Instead of manually reassigning leads, we built a round-robin engine for [Client]..."

Scenario B: Technology

"Noticed you installed HubSpot. Most teams struggle to sync it with their legacy ERP. Instead of double-entry, we architected a sync bridge for [Client]..."

This script is designed for high-value B2B sales. Do not use for mass spam.

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