Outreach that reads the company first:
not a mail-merge blast
A mail-merge blast with a first-name token swapped in reads like what it is, and most prospects delete it without a second thought. An agent researches each company and contact before the first message goes out, personalizes the actual opening line, and keeps sending volume inside the limits that keep your domain's reputation intact.
The process today
Most B2B outreach starts from a list and a template: a first name and a company name dropped into a fixed message, sent to everyone on the list the same way. Prospects who get dozens of these a week recognize the pattern instantly, and reply rates on this kind of blast are usually low enough that teams treat outreach as a numbers game rather than a conversation worth having.
The second cost is the time real personalisation takes when done by hand. A rep who actually researches each company before writing a message, what they do, what they might need, something specific to reference, produces far better replies, but doing that properly for more than a handful of prospects a day is not realistic for one person, so most teams either personalize a few and blast the rest, or skip it entirely.
The third cost is deliverability. Teams that push volume without warming up a sending domain or respecting a platform’s rate limits often find their emails landing in spam for everyone, not just the prospects who would have ignored a generic message anyway, which quietly tanks the whole campaign’s numbers without anyone noticing until reply rates crater.
What the agent does
Before a single message goes out, the agent researches each prospect: what the company does, something timely or specific worth referencing, the contact’s role and likely priorities, pulled from public sources, a company site, recent news, a LinkedIn profile. That research feeds a genuinely personalized opening line, not a templated sentence with a name swapped in, built around your sales playbook’s actual value proposition for that kind of prospect.
The message sequence itself follows your playbook’s structure, first touch, a follow-up if there is no reply, a final touch, with objection-handling built in for the common pushbacks your sales team already knows. Sending volume is capped and scheduled to respect your sending platform’s limits from the start, with a proper mailbox warm-up period if the domain is new, since a flagged domain breaks outreach far worse than a slow start ever would.
When a prospect replies, the agent reads the reply and decides what it is: a real question it can answer from the playbook, a flat no, or genuine interest that should reach a person right away. Replies that show real interest go straight to your sales team with the full thread and the research that led to the message, so the rep picking it up starts already knowing what was said and why.
Every contact, every message sent, and every reply is written into your CRM as it happens, so your team has a clean record of a sequence’s actual performance, not an estimate reconstructed after the fact.
What stays with humans
The sales playbook, the actual value proposition and objections used in messages, is written with and approved by your sales team, not invented by the agent. Any reply that shows real interest, a question that goes beyond the playbook, or anything that looks like a negotiation is handed to a person immediately. Sending volume caps and the decision to raise them as reputation builds stay a call your team makes, informed by the data the agent provides.
Guards
Sending volume is hard-capped to your platform’s and domain’s safe limits, with no path for the agent to exceed them even under pressure to send more. Every message and reply is logged, giving your team a full audit trail of a sequence’s performance. The playbook and research quality are tested on a small batch before scaling to the full list, and a kill switch pauses the whole sequence in one message if reply quality or deliverability starts to slip.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $700 | One list, one sequence, research-based personalisation, reply routing | 5 to 10 days |
| Department package | from $2,500 | Outreach personalisation plus partner inquiries and inbox triage | 2 to 4 weeks |
Running cost is usually $30 to $100 a month in model usage depending on list size and research depth per contact.
Related
This pairs naturally with partner and affiliate inquiries on the inbound side, and with inbox triage for sales teams so the replies this sequence generates land in front of the right person fast. See the AI agents service page for the full package breakdown. For a real playbook-driven outreach pipeline, see the B2B certification body case study, which ran a three-touch email sequence with mailbox warm-up, and the US citizenship consulting launch case study, where finely targeted outreach reached seven clients at a $200,000 average ticket.
Tired of reply rates that treat outreach as a numbers game? Get in touch and send us your current list and playbook.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does B2B outreach personalisation cost?
From $700 for one list and one outreach sequence with research-based personalisation, live in 5 to 10 days. Multi-sequence setups across several segments or markets usually run $1,500 to $3,500.
How long before it is live?
5 to 10 days, including time for mailbox warm-up if you are starting a new sending domain, which matters more to deliverability than almost anything else in the setup.
Which tools does it connect to?
Your CRM or a prospect list as the source, public company data and your own research sources for personalisation, and your existing email sending platform or LinkedIn outreach tool, always inside that platform's own sending limits.
Can this get my domain flagged as spam?
The whole point of building this with sending-platform limits and a proper warm-up schedule from day one is to avoid exactly that. We set volume caps conservatively and raise them only as your sender reputation holds up, never as a guess.
Is prospect data handled safely?
Research pulls from public sources only, prospect and contact data stay in your CRM, and every message sent and every reply received is logged for your team to review.