AI, Automation & Data
Data that holds up.
Most paid media has a measurement problem buried underneath it. We build the tracking layer, attribution model, and automation infrastructure that makes your spend defensible. Clean data and working pipelines are what let the rest of the work compound.
Signal.
The boring work is almost always the work that matters. A campaign with clean server-side tracking, a working consent setup, and an identity resolution that routes leads correctly will outperform a flashier campaign sitting on broken data. We don't believe in dashboards-as-theatre, attribution screenshots without the model behind them, or AI used as garnish on work that should be done properly. The data layer either holds up under scrutiny, or it doesn't.
What we do.
Data strategy
First-party signal, collected intentionally. We map what data you actually need, who owns it, and how it connects to your paid media outcomes.No black-box vendors you can't audit.
Measurement & analytics
Events/GA4 configured correctly, server-side tagging, consent mode, and an attribution model you can explain to a client. We build the setup and document the logic so the numbers mean something.
Marketing automation
Customer journeys, lead routing, lifecycle sequences, and the plumbing that keeps the pipeline moving after someone converts. Built to run without manual intervention. Auditable when something breaks.
AI workflows
Faster brief-to-output cycles for creative, copy, and reporting. AI handles repetitive production tasks; a human reviews everything before it ships. No autonomous slop.
Privacy & governance
Consent handled properly, first-party data flows documented, and a setup that won't collapse when cookie policies change again. Built to be auditable, not just compliant on paper.
Here's how we roll.
Audit
We look at your tracking setup, attribution model, and automation stack and flag the gaps: broken events, misattributed conversions, leaky lead flows, and the dashboards that are hiding more than they show.
Instrument
We build what's missing: server-side tagging, consent mode configuration, a clean GA4 property, and an attribution model tied to actual outcomes, not last-click default.
Automate
We wire up the lifecycle layer: Agentic/HubSpot workflows, AI-assisted reporting, and the operational routines that run in the background so you're not manually pulling numbers every week.
Ready to make your data defensible?
Tell us what your current tracking and attribution setup looks like. We'll tell you where it's lying to you.