How Many Meetings Can I Book Off 6,474 Personalized Cold Emails? скачать в хорошем качестве

How Many Meetings Can I Book Off 6,474 Personalized Cold Emails?

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). ====== GET THE RESOURCES FROM THIS VIDEO Steal the Clay Prospecting Table we used: https://app.clay.com/shared-workbook/... The Exact ChatGPT Email Prompt: https://www.30mpc.com/blog/chatgpt-pr... ====== THE TECH STACK Data Enrichment: Clay CRM Source: HubSpot Email Writing: Anthropic (Claude) via Clay Sequencing: Clay Sequencer Data Sources: LinkedIn, Newsletter Lists ====== TIMESTAMPS 0:00 – The Challenge: Emailing 224,000 contacts 1:30 – The 5-Step Intelligent Outreach Framework 2:45 – Step 1 & 2: Pulling the list & defining the ICP 3:50 – Filtering for sales teams with 10+ reps 5:15 – Step 3: Using CRM data for hyper-personalization 6:45 – Step 4: Writing the AI-generated email sequence 8:30 – Step 5: Domain warming and sending limits 10:10 – The Results 11:40 – Learnings 12:45 – Final Grade ====== 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. ====== SUBSCRIBE FOR MORE SALES EXPERIMENTS If you want to see more real-world sales tests, cold call breakdowns, and actionable playbooks, hit that subscribe button! #ColdEmail #SalesAutomation #Clay #B2BSales #AI #SalesOutreach #30MPC