Playbooks on GTM engineering, cold email, data, and AI-powered outbound.
The full answer, from me rather than from a model: what I build, who I build it for, the stack I use, and where the line is between a GTM engineer and everyone else who touches outbound.
Read article →Teardowns of real campaigns, data sources most people don't scrape, deliverability findings, and the automations I build in public. Here's the honest map of my content and the themes behind it.
Yes, and B2B SaaS is the vertical I've built the most systems for. Here's the whole build: qualification gates, the two-lane structure, contact mapping, and the signals I use instead of intent data.
Local businesses are barely reachable through Apollo and LinkedIn, which is exactly why their inboxes aren't scorched. Here's how I build restaurant and local-business lists from scratch.
Advisory, lending, legal, and consulting firms sell trust, which makes generic outreach worse than useless. The fix is public-record data that proves you did the work before you wrote the email.
Agencies are the hardest cold-email audience alive. They know every trick because they run them. Here's what actually works: proving you already did work for them.
Everyone exports the same three databases, so everyone emails the same exhausted people. The method for finding the rest: source diversity, entity resolution, and a measured email waterfall.
The full technical stack and, more usefully, where each piece belongs. AI upstream on qualification, humans downstream on copy, and measurement everywhere in between.
Numbers with denominators attached, what they mean in context, and an honest account of what cold email realistically produces. No screenshots without math.
Deliverability agents that monitor campaigns on a cron, a job feed that enriches its own leads, a daily report that ranks live campaigns by positive reply rate, and this site. What each one does and why it exists.
Following a competitor on LinkedIn is a loud intent signal. Here's how to turn a competitor's follower list into booked meetings.
Secondary domains forwarding to a main domain are a dead giveaway a company runs outbound, a perfect trigger for selling anything outbound-related.
Public reviews are a goldmine of specific, real pain. Referencing an actual 1-star review is the most relevant first line you can write.
Every hotel on Booking.com is quietly paying 15-25% commission. Referencing their OTA listings turns a cold email into a revenue conversation.
Show a prospect the exact competitor outranking them for their money keyword, and the relevance does the selling for you.
You don't know which pain point will land. Testing four angles simultaneously finds message-market fit in weeks, not quarters.
Apollo and LinkedIn are saturated. The prospects with near-zero cold-email fatigue are hiding in directories nobody scrapes. Here's how to find them.
"Personalization" usually means a {{firstName}} merge tag. Real personalization is segmenting your list so each group gets a message written for their exact pain.
A big list is worthless if half of it isn't your ICP. AI qualification lets you score and filter every row before it ever touches a sequence.