First campaign live
14 days
Managed outbound
We work backwards from the deals you have already closed, find the public data that would have caught those buyers early, and reach the companies sitting in the same position today.
Thirty minutes. We tell you on the call if the numbers don't work.
Nothing is watched in advance. Companies surface because the evidence puts them there.
The situation
You bought the list. Someone wrote the sequence. A tool added the first line. Volume went out, and what came back was almost nothing, or a handful of meetings with companies that were never going to buy.
So you went back to referrals, which work, right up until you need to grow faster than your network does.
Outbound is not dead. It never worked in the form you tried it, because the list you sent to contained no information about whether anyone on it had the problem you solve.
Fit
If the arithmetic doesn't work for your business, the first call is where we say so.
The real problem
Think about what is actually in a bought list. Industry, headcount, location, maybe a tech stack. Not one of those facts tells you whether that company has the problem you solve, or has it badly, or has it right now.
So the message written off that list has to guess. Because it guesses, it hedges. Because it hedges, it sounds like every other email that arrived that morning.
The reflex is to rewrite. New subject line, shorter body, different offer. It never works, because you are editing the output of a system whose input was empty.
The cost isn't the wasted sends. It's that your growth stays tied to how many people you already know.
What everyone tries first
The data is fine. It is the same data your competitors have, and it describes what a company is rather than what is happening to it.
More sends against the same empty list. The bottleneck moves from volume to salary.
Most compete on domains, volume and a copywriter. All three of those got cheap in the last two years.
Closer than it sounds, and worth being honest about. You can build the sending infrastructure now. What you can't do quickly is the research behind the list.
Works. Caps at the size of your network.
What changed
AI made two expensive things free at the same time: sending, and personalisation. The predictable happened. Inbox volume climbed, and buyers stopped reading and started deleting on pattern recognition.
The less obvious thing also happened. Every buying signal that used to be an edge became a checkbox. Hiring, funding, leadership changes, tech adoption. All of it sits in a dropdown in tools anyone can subscribe to.
A signal every competitor can see is not intelligence. It is a queue everyone is standing in.
The method
Get four right and you get nothing. That is why teams doing sensible work still see three percent reply rates.
Not a customer profile. Two to five things that are observably true about a company right now which together mean they have your problem. Two layers: a gate that decides whether they could buy at all, and an intensity score that decides how badly they need you. Most teams have a rough gate and no intensity score, which is why their best and worst prospects look identical on a spreadsheet.
For every condition, the public data that proves it. Not a single data point, a combination that would be difficult to explain any other way. This is where the work is and where nearly everyone stops, because the four sources everyone uses are the four that come pre-connected. If your evidence comes from a source your competitor's tool also connects to, it is not evidence.
Evidence proves the situation exists. Timing proves it exists now. Velocity measures how tightly the evidence clusters: three related things in three days is a company deciding something, the same three across three months is a company that exists. Decay measures how fast each piece stops meaning anything. Score without decay and your best list slowly fills with things that were true last quarter.
Once the first three are right, the message stops being a writing problem. You are not personalising, you are reporting. Here is what we can see, here is what usually goes wrong for companies in that position, are we reading it correctly. The test is simple: could this message have been sent to anyone else on the list? If yes, the first three were not done.
The unglamorous half, and the one that quietly kills campaigns that got everything else right. Separate warmed domains so yours is never at risk. Volume throttled per inbox, monitored daily. Every reply read and answered fast, because a reply left overnight is a meeting that does not happen. Perfect targeting delivered into a spam folder is worth nothing.
How it runs
Before we target anyone, we check whether what you're asking a stranger to say yes to can be said yes to by a stranger. Most offers that work on referrals fail cold. If yours does, we build you a smaller first thing to offer instead.
We go through your closed deals and work backwards. Not what those companies were, but what was happening to them shortly before they bought. You get it as a written document and can argue with the targeting before anything is built.
We find the public data that proves each condition, name every source, and check each one is reachable, reliable and fresh enough to matter. You see the sources and can verify them.
Domains bought and warmed. Inboxes configured and throttled. Your suppression list loaded across every channel. Your own domain is never used for cold sending.
Messages written from the evidence, one per condition, approved by you before anything sends. Then live.
Every reply read, classified and answered fast, then qualified and booked with a brief. Reply outcomes get traced back to the evidence that triggered them, so conditions that produce conversations get more weight and the rest get dropped.
What you get
The difference
| Now | With us |
|---|---|
| List built from industry and headcount | List built from conditions observably true today |
| Signals anyone with the same tool can see | Evidence from sources most competitors never connect |
| Timing based on when the campaign launched | Timing based on how tightly evidence clusters |
| Messages personalised around a guess | Messages that report what is actually happening |
| Replies handled when someone gets to them | Replies answered fast, qualified, booked |
| Growth capped by your network | Pipeline from companies you have never met |
| Paying for effort | Paying for calls that happen |
The honest bit
You partly can, and pretending otherwise would be insulting. The infrastructure is genuinely buildable now. Domains, warming, sending, sequencing, even reply drafting. Give someone on your team a few weekends and they will get something working.
The part that does not compress is the first two steps. Working backwards from your closed deals to find what was actually true about those companies before they bought, then hunting public data that proves it in sources that are not in any tool's integration list.
That is research. It takes weeks per market, it does not automate, and it is the reason two agencies with identical tool stacks get completely different results. The second thing that does not compress is answering every reply within the hour, every day, for months.
If you should build it yourself, we will tell you on the call. Sometimes that is the right answer.
Scope
Working out which companies are worth the effort, then building the lists and the data behind them.
Infrastructure, messaging, and campaigns across email and LinkedIn, run daily rather than launched and left.
Every reply read, qualified, and answered. Follow-up that does not go quiet after the second attempt.
Booking, confirming, and reminding, so that a meeting on the calendar is a meeting that happens.
Reactivating the people who went quiet, and the closed-lost deals whose situation has since changed.
Turning sales call transcripts into the objections, language, and angles that go into the next campaign.
CRM structure, routing, reporting, and the handoffs that decide whether pipeline turns into revenue.
Agents that research accounts, classify and draft replies, qualify inbound, and keep the whole thing running.
If it doesn't work
A flat monthly fee for infrastructure, and a fee for each qualified call that takes place. A qualified call is defined in writing before launch: a meeting that happened, with a decision maker at a company matching the criteria we both agreed, with your offer as the agenda.
If someone doesn't show, you aren't billed. If a booked meeting doesn't match the criteria, you cancel it and you aren't billed. Month to month after the first two months, thirty days notice.
To be straight about what this is not: it is not a revenue guarantee. We control targeting, messaging, delivery, and whether qualified people appear on your calendar. We do not control your close rate, and anyone promising otherwise is guessing on your behalf.
Questions
It depends on whether your market leaves a public data trail. Most do, in places people don't think to look. We work that out on the first call and tell you if the answer is no.
Most agencies compete on execution: domains, volume, copy. All three became cheap. We compete on what is in the list, which takes research that doesn't automate.
Ask your last agency which data sources they used. If the answer is one of the four big ones, that was the problem.
Partly, yes, and we'll say so if that's genuinely your best option. What doesn't compress is the research behind the list, and answering every reply within the hour for months on end.
Roughly two hours in week one for the working session on your closed deals, then approving messaging. After that, showing up to calls.
Domains warm for about two weeks. First campaign live around day fourteen. First replies usually within the first week of sending, meetings shortly after.
The criteria are agreed in writing before launch. If a booked call doesn't match them, you cancel it and it isn't billed. If it happens repeatedly, the criteria were wrong and we fix them, which is a targeting problem and therefore ours.
A flat monthly fee for infrastructure, plus a fee per qualified call. The per-call fee is set by what a closed deal is worth to you, so the arithmetic works clearly in your favour. We run that calculation with you on the call rather than quoting blind.
No. Your customer list, open deals and anyone your team is already working get suppressed across email, domain and phone before the first send, with a live CRM sync where possible.
No. Your primary domain is never used for cold sending. Everything runs on separate warmed domains pointing back to your site.
Thirty minutes. We look at what your best customers had in common, size how many companies in your market are in that position now, and work out what a call is worth to you and whether the numbers hold. You get that analysis either way.
Thirty minutes. We'll go through what your last ten closed deals had in common before they bought, estimate how many companies in your market are in that same position right now, and run the arithmetic on whether this makes sense for you.
Book a callIf it doesn't make sense, we'll say so on the call.