#550 - How Many Meetings Can I Book Off 6,474 Personalized Cold Emails?
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Feb 24, 2026
They describe blasting 224,000 contacts with 6,000+ hyper-personalized cold emails built by automating deep research. They explain a five-step Clay workflow and a Trojan Horse data strategy that references reps by name. They walk through filtering to the top 1% of intent and reveal the AI prompt and a costly timing mistake.
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question_answer ANECDOTE
Mass Personalized Campaign On 224k Contacts
The hosts attempted the largest personalized email campaign by enriching 224,000 contacts to target likely buyers.
They filtered followers and mailing lists, then partnered with Clay to automate deep personalization at scale.
insights INSIGHT
Existing Audience Signals Highest Buying Intent
High-intent buyers are the people already consuming your content across channels like LinkedIn and email.
The hosts combined LinkedIn followers (80k, 84k) and a 60k mailing list to create a 224k prospect pool.
volunteer_activism ADVICE
Use Team-Level Consumption As A Personalization Hook
Personalize emails using a 'Trojan Horse' approach: reference specific reps on a prospect's team who consumed your content.
They automated research so each of 6,000+ messages named employees and content they viewed.
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We did the one thing you’re never supposed to do: We tried to blast our entire contact list of 224,000 people.
But instead of sending generic spam, we built a workflow in Clay to automate the deep research usually reserved for one-off emails. The goal? To find sales leaders whose *own reps* were already watching our content, and use that data to send 6,000+ hyper-personalized messages at scale.
In this video, we break down the exact 5-step workflow we used to filter our list, the "Trojan Horse" data strategy we used to personalize every single message, and the honest results of the campaign (including the big mistake that cost us thousands of opens).
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GET THE RESOURCES FROM THIS VIDEO
- Steal the Clay Prospecting Table we used: https://app.clay.com/shared-workbook/share_0t9swvgU7tkm8MGhuKZ
- The Exact ChatGPT Email Prompt: https://www.30mpc.com/blog/chatgpt-prompt-b2b-courses
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THE TECH STACK
- Data Enrichment: Clay
- CRM Source: HubSpot
- Email Writing: Anthropic (Claude) via Clay
- Sequencing: Clay Sequencer
- Data Sources: LinkedIn, Newsletter Lists
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ABOUT THIS EXPERIMENT
Most people think you have to choose between "mass blast" and "manual personalization." We wanted to prove you can do both. We took a list of 224,000 followers, threw them into a Clay table to enrich the data, and filtered for Sales VPs with 10+ reps. We then cross-referenced that with our CRM to see which specific reps on their teams were consuming 30MPC content.
The result? An AI-written email that looked 100% human-written, referencing specific employees by name.
Watch to see:
1. How we filtered 224,000 leads down to the top 1% highest intent buyers.
2. The specific AI prompt that references rep names and consumed content.
3. Why running this campaign in December was a massive failure.
30 Minutes to President's Club | No-Nonsense Sales