2d (edited) • General discussion 📣
The AI Personalization Hack That 3X Our Cold Email Replies
Most “personalized” cold emails aren’t actually personalized.
They say things like:
“Saw you’re the Head of Marketing at X company.”
That’s not personalization.
That’s just LinkedIn scraping from 2016.
Real personalization references something the person actually said.
And AI makes this surprisingly easy.
Here’s the workflow we’ve been using that tripled our reply rate.
The AI Cold Email Personalization Workflow
Step 1 - Scrape their LinkedIn activity
Use tools like Apify to pull:
• their last 2-3 LinkedIn posts
• engagement text
• sometimes even comments
Now you have real signals about what they care about.
Step 2 - Feed those posts into AI
Take the posts and send them to GPT with a structured prompt.
Now your email starts with something like:
"Noticed your Series B announcement - we recently helped a similar company handle [specific challenge] while expanding across multiple countries."
That instantly feels human.
Step 3 - Generate personalized openers at scale
Instead of manually researching every prospect…
AI reads the posts → extracts insights → writes the opening line.
Now every email feels like you actually read their content, even when you’re sending at scale.
Why this works
Most cold emails fail in the first sentence.
People can instantly tell if:
• it’s generic
• it’s templated
• it’s automated
But when you reference something they posted…
It breaks the pattern.
And that’s when conversations start.
If you want to learn more about cool AI + automation systems like this (the kind we use inside our outbound and lead gen machines)…
Comment “AIA”
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The AI Personalization Hack That 3X Our Cold Email Replies
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