Signals your competitors cannot buy off the shelf: hiring, funding, product usage, review complaints, ad activity. Scored, sequenced and delivered where your reps already work.
The same list plus more volume is the only lever left, and it is the lever that burns the domain.
There is no ranking that says which twenty accounts matter this week.
Someone books, and the rep researches them in the ten minutes before the call.
First name, company name, and a line about their “impressive growth” that could be sent to anyone.
If two of these are true, the problem is not effort. It is that nobody owns the system underneath the effort. That system starts with an ideal customer profile that decides which accounts are worth contacting, and a score that ranks them before anyone opens a sequence.
The GTM Engineering Company
Senior GTM engineering delivered as a fractional service, not a full-time hire. Four builds on one evergreen data layer, and the motions that run on top of it — all inside the CRM you already own.
Source
Enrich
Score
Push
Email
Day 3
LinkedIn
Day 5
Call
StackHubSpot
SignalHiring 3 AEs
High-conversion developer outreach campaign targeting technical leaders using GitHub activity signals.
“Brought structure and scalability to our go-to-market engineering stack, combining technical precision with strategic insight to streamline how we operate.”
“Jorge successfully helped build a Clay table to source targeted contact information, despite initial skepticism from other consultants.”
A 30-minute call, or the pricing if you would rather look first.
You do. Every workflow is built under your logins, not ours.
Yes, on every engagement: the “how to keep it humming” guide.
Yes, every build, so training is watching, not shadowing.
None. We build on your stack and say so when something has to go.
Yes. Fields, pipelines and joins, written down.
Weekly. Live table builds, not status emails.
"Distribution is the new moat. Code got cheap; attention never did."
Quick wins in 2 to 4 weeks, shipping by day 90
The playbook is yours, documented as we build
Every record is checked before it hits your CRM
The tools are in your name, on your card, and you keep it all
Hiring cycle, then months of ramp
The playbook stays with the agency
Data from every tool, none of it verified
The tools are in the agency’s name
Thirty minutes. We look at your CRM together and you leave with a shortlist, whether or not you hire us.
An ideal customer profile (ICP) is the written definition of which accounts are worth selling to: the firmographic, technographic and behavioural traits your best-fit customers share, turned into a score that ranks accounts before anyone opens a sequence. In sales it is not a slide, it is what decides who gets contacted this week and in what order. GTM Engineering builds the ICP as tier-based scoring and writes the score back into the CRM, next to the record the rep opens.
Start it as research, not as a workshop: the first stage of a GTM Engineering engagement is ICP research followed by target account selection criteria, before a single sequence is built. The inputs are firmographic, technographic and behavioural, and the definition is only finished once it is tiered and scored, because an ICP nobody can sort by is a document rather than a system. For outbound the test is simple: the top tier has to answer which twenty accounts matter this week.
The model is tier-based rather than one opaque number: firmographic, technographic and behavioural inputs combine into a fit score, a predictive model is added only where the outcome is worth modelling, and the result is written back as a field on the record the rep opens. GTM Engineering builds it inside the HubSpot or Salesforce instance you already own and configures the integration as part of the engagement, so the score sits where reps already work instead of in a spreadsheet nobody opens. The enrichment that feeds the model is a separate build, covered on the Operations page.
Yours first. GTM Engineering scores inside the CRM you already own and assembles the rest from the stack most teams already pay for, including Clay, Apollo, Smartlead, Instantly and Apify. Signals are pulled from where they actually exist, such as GitHub activity, ad libraries, review text and hiring pages, and the sequencing runs multi-channel across email and LinkedIn with the channels tested against each other. Everything is built under your logins and stays tool agnostic, so nothing has to be re-bought to keep it running.
No. Lists are a commodity. The work is the signal layer that decides who is on the list this week, and the reason the first line of the email is true.
Volume burns domains. Signal-based targeting sends less and lands more, and deliverability is part of the build rather than an afterthought.
First replies typically inside 2 to 4 weeks. A full engine, tested across channels, by day 90.
