Cold outreach
Cold email and LinkedIn with the sending infrastructure set up properly, so messages reach the inbox.
Our process
Infrastructure first, message second. Your primary domain is never used.
Domain and mailbox setup
Separate sending infrastructure.
Warmup
Gradual volume increase.
List building
Traceable, verified target data.
Sequence copy
Short, specific, about them.
Reply handling
Classify and route responses.
Suppression and compliance
Permanent opt-out handling.
What is included
Sending infrastructure
Separate domains and mailboxes, SPF, DKIM and DMARC configured, warmed gradually. Your primary domain is never used.
Target list building
Built to a defined profile with sources we can trace, because unverifiable data becomes a compliance problem later.
Sequence copy
Written on the assumption the reader knows they are being sold to. Short, specific, and about them rather than about you.
Run alongside email rather than as a separate channel, with connection and message pacing kept within platform limits.
Reply handling
Classification and routing, kept manual in the early weeks so we learn what the replies actually mean before automating anything.
Suppression
Opt-outs handled automatically with no human step, and a permanent suppression list that survives campaign changes.
Want to know if this is the right starting point? Tell us what is not working and we will say whether this is where we would begin, or somewhere else.
Ask usProblems we have solved
Described by the problem rather than by the client.
A programme that had burned the main domain
What we found
A previous effort had sent cold volume from the company's primary domain. Ordinary business email was landing in spam, including invoices.
What we built
Moved all cold sending to separate warmed domains, rebuilt authentication on the primary, and let it recover before restarting outreach.
What changed
Normal business email started arriving again, which mattered more than the campaign.
Replies that nobody was reading properly
What we found
Automation was classifying every reply as interested or not. Referrals, timing objections and wrong-contact responses were all being discarded together.
What we built
Manual classification for six weeks to learn the actual reply categories, then automation built around what was really there.
What changed
Referrals and timing responses stopped being thrown away.
Often runs with
Talk to us about cold outreach
Thirty minutes, no deck. If this is not what you need we will say so.