How I built a cold email system to scale your company.
You know what?
I noticed that people don't talk about this very often.
And I can explain it in a few words.
Domain?
→ Namecheap
Email Setup?
→ Hostinger
SMTP?
→ Sendgrid
IMAP?
→ Titan
We built a cold email machine for an Ai SaaS that projected $32.2M in annual pipeline.
We only got to $4.3M before they fired us.
I'm sharing everything anyway. F-ups included.
Fyxer AI came to us right before their demo day.
"Can you send half a million emails next week?"
We said yes. Built the machine in 7 days.
6 weeks later: 2,228 signups. One of their first ~$1M enterprise deals. Demo day went great.
Then they raised a $10M Series A.
Then we got fired. And it was all my fault.
Our testing tanked their CAC. So they issued a 30-day cancellation notice.
My biggest client. Gone.
But.
I pitched a performance model. Proved the results. Then they canceled the cancel.
That led to:
- 8.8 million emails per month at peak
- 4,275 signups per month
- 643 emails per signup (11x improvement from where we started)
- $4.3M in annual pipeline revenue
Then Fyxer raised a $30M Series B and hit $17M ARR.
I documented the entire 10-month journey on the largest cold email operation of 2025. Here's what's inside:
- How we went from 7,317 emails per positive to 643 emails per signup
- The 26-variant testing process that found 11x multipliers
- Why we got fired and how I saved it
- Which audience segments converted 5X better (and which we stopped targeting)
- Why we only hit $4.3M of a possible $32.2M (and what it would take to get there)
- The "Series A Plan" framework we built from this
Want the complete Fyxer playbook?
1. Follow me
2. Reply "FYXER" below
I'll send you the 24-minute video playbook.
P.S. Repost this and I'll also send you the full written version with every stat, timeline, and the "Series A Plan" we charge $25k/month for.
Here's what makes my Sundays productive:
Being hungry to learn and constantly improving the service I provide to my clients at Allbound OS.
If you want to build custom workflows for your next linkedin campaign → https://t.co/9T5O2vZiwU