Christian puts info@ ahead of paid data in GTM engineer list
An eighteen line job description that answers "what on earth is a GTM engineer" with build steps rather than a title.
Christian posted an eighteen line answer to the question "What on earth is a GTM engineer?" and it reads as a build order rather than a job title. The claim most senders will stop on is that scraped info@ addresses convert at twice the rate of paid-enriched emails.
The front of his list is all list work. Map every company in the market and score all of them, qualify each one with AI before paying to enrich it, then run a waterfall of data providers to reach 85% or better coverage. Scraped info@ addresses sit alongside that paid data. He also pulls MX records so that Google and Microsoft accounts each get their own copy of the send, and warms inboxes for three weeks before a single cold email goes out.
Scoring, copy and the reply loop
Accounts get scored on who is hiring and who just raised, and he reads job posts to find companies hiring for the role the offer replaces. Copy is one message per pain, with the list carrying the personalisation. He launches fifteen variants and kills the bottom two thirds.
On the reply side, every reply pipes into Slack with the prospect's phone number attached, and a human calls positive replies inside five minutes. That matches the phone-heavy follow-up Christian has described earlier. The phone runs off the same list as the email rather than a separate one.
The two steps that cost nothing
Two items on the list are closer to bookkeeping than tooling. Every "we already have a vendor" reply gets logged with its renewal date, which turns a rejection into a dated callback. And the list gets re-enriched monthly, because Christian says 30 to 50% of it moves.
He also splits reply rate by segment so the average cannot hide a weak one, builds Claude skills that run the whole thing from Slack, and works backwards from what every closed-won account had in common before it bought.
For people sending, none of the eighteen steps come with send volumes or reply numbers in the post. The info@ claim in particular is Christian's own observation, not a dataset anyone can check, so treat it as a cheap test to run against your paid list rather than a settled result.
scrapes info@ emails that convert at twice the paid rate
re-enriches the list monthly, since 30-50% of it moves
Know what is landing before you burn another domain
One email a day. Under three minutes. What the operators found out yesterday.