Christian, 186 interested from 86,801 lending contacts

Christian has put numbers to the lending client rebuild he described earlier. The campaign produced 186 interested leads out of 86,801 contacts, while the client moved from 1 SQL a day to 6 or more and ran 100k+ emails a month.

That is roughly one interested lead per 467 contacts. Christian's own cold email cheat sheet calls 1 lead per 300 contacts a great campaign and 1 per 500 still solid, so by his own benchmark this sits in the solid band rather than the great one.

Christian

@coldemailchris

X

1 lead per 300 contacts = great campaign

The email

The copy is two lines and AI writes a fresh one for every company on the list. The shape Christian published is "Saw that {company} {what they sell, in their own words}." followed by "We offer funding services that can help expand your {that exact product or service}."

Christian

@coldemailchris

X

Saw that {company} {what they sell, in their own words}.

His reasoning is that the first line proves you looked at the business and the second ties the money to something the prospect already wants to grow. Funding is useful to almost any business, which he says is exactly the problem, so the email has to name what the money would be for.

There is no spintax in it. Every email is generated fresh, and Christian says the runs are cheap.

The rest of the rebuild

The copy was not the only change. Christian says they tested segments until the strongest lending verticals showed up and then moved volume there, sent broad use case messaging first and only had AI tailor the use case once the broad version was winning, split sending 50/50 between Outlook and Google inboxes on ScaledMail through EmailBison, and ran every list through Clay so each test was clean enough to trust.

That ordering matters more than the template. The personalized version came after a generic version had already proved the offer worked, which is the opposite of the usual sequence where personalization is the first thing an operator reaches for when a campaign is flat.

For people sending, this is one agency's account of one client in one vertical, and the headline SQL jump is self reported with no before and after send volume for the 1 SQL a day period. What is checkable is the ratio. 186 from 86,801 is the kind of number most lending outbound would quietly round up, and Christian published it against a benchmark that makes it look merely fine. He says this is the email he would test first for any offer as simple as funding.