The SDR Who Was Getting Replies While Everyone Else Wasn't
Our SDR team sent 400 cold emails a day. We got back 14 replies total. 3.5% reply rate. Failing.
Then I noticed: one person was getting 18% reply rate. Same email list. Same product. Same company. Different human.
I asked her what was different:
"I actually read about the companies. I personalize the angle. I write like I'd text a friend instead of like a robot."
"How long does that take?"
"15 minutes per email."
15 minutes per email. We were sending 400/day at 2 minutes per email from everyone else.
I did the math: she was getting 5x the reply rate but spending 7x more time. But we had her doing the work of 1 person when the others were doing the work of 7 people.
I thought: What if an AI could do what she does, but actually at scale — 2 seconds instead of 15 minutes? It took four weeks. But it works.
The Real Lesson: Consistency > Perfection
Humans are wildly inconsistent. Monday: great emails. Tuesday: tired and generic. One person researches; another copies templates.
AI doesn't get tired. Every email is researched. Every reply is classified the same way. Every follow-up is timed perfectly.
But here's the thing: humans make humans reply. AI writing like humans works because it's mimicking the best human behavior at scale.
Questions I'm thinking about:
What's your baseline reply rate today? Ours went from 3.5% to 18-22%.
How do you handle reply classification? Are you manually reading every reply? LLM classification catches "objections" way better than keywords.
When the AI generates an angle, do you review it before sending? We do 100% automated. What's your comfort level?
If you've built email generation systems, I want to know what breaks.
