Growth Systems
Built to Run Without You
RevOps, marketing automation, attribution, and lead scoring, built so your revenue team works from one source of truth instead of five tools that don't talk to each other.
Most GTM stacks aren't broken. They're just disconnected.
CRM numbers that don't match the ad platform. Lead scores nobody trusts. Dashboards three people have to rebuild by hand every Monday. That's what happens when a company buys tools faster than it designs the system underneath them.
We build that underlying layer: the data model, the automation logic, and the attribution setup that turn "how's pipeline actually doing" into a five-second answer instead of a Friday-afternoon reconciliation project.
Systems We Build
RevOps Architecture
A CRM and data-model rebuild that gets marketing, sales, and customer success agreeing on what a lead, an opportunity, and a customer actually are. We fix the object model inside HubSpot or Salesforce first, before anyone's allowed to bolt on a CDP. The pattern we get called in to fix most often: a $30K/yr customer data platform sitting on top of a CRM nobody believes.
Marketing Automation
Lifecycle email and SMS flows, behavioral triggers, and personalization logic that move contacts through the funnel without anyone building lists by hand. It runs as one decision layer the rep can actually explain in a sentence. If they can't, we don't ship it.
Attribution Infrastructure
Multi-touch attribution that connects ad spend to closed revenue, so budget calls get made on what actually caused the deal, not last-click guesswork. We model at the campaign-to-opportunity level, not the pixel level, because a platform's "conversions" and your closed revenue are two different numbers until proven otherwise.
Lead Scoring Models
Fit-and-intent scoring built from firmographic and behavioral signals, so sales works the accounts most likely to close, in the order that matters. We keep every model to a handful of weighted signals. The scoring systems we get asked to rebuild are usually 40-point rubrics nobody can explain, which sales stops trusting within a quarter.
Executive Dashboards
Pipeline, CAC, LTV, and channel-efficiency views built once and trusted for good, no more Monday-morning spreadsheet reconciliation. One source of truth per metric, full stop. If finance and marketing can each produce a different CAC number, the dashboard isn't finished yet.
Data Warehouse & Sync
Reverse-ETL pipelines that keep product usage, billing, and CRM data in sync across every tool your team actually opens. We cap the core GTM stack at six tools. Past that point, sync lag and field-mapping drift start costing more than the extra tool is worth.
How We Build It
Audit the Stack
We map every tool, integration, and manual workaround currently holding your GTM data together, and flag exactly where trust breaks down.
Design the Data Model
One definition of a lead, an opportunity, and a customer, agreed across marketing, sales, and CS before a single integration gets built.
Build the Automation Layer
Lead scoring, lifecycle flows, and attribution logic built on the new model, then tested against your real historical data.
Hand Off with Documentation
Dashboards, runbooks, and training so the system keeps running without us. That's the whole point of building infrastructure.
Let's map what your stack is actually costing you
A 30-minute audit conversation, no deck, no pitch. Just a clear-eyed look at where your growth system is leaking, and whether a fixed-scope build or a fractional retainer is the right fit. Best fit: revenue teams already running a CRM and at least two GTM tools that don't agree with each other. Scope and pricing depend on stack complexity, so we work out the exact shape and cost together on the call.