Performance Marketing
in the AI-era.
The value of AI in marketing lives between two things: the long-term business data underneath, and the orchestration on top of it.
Lifetime value, not initial conversion.
Most AI-driven marketing tooling optimises against the loudest signal — the initial conversion, the metric that's easy to count. It works on the surface, until the metric drifts from the actual customer.
A centralised data foundation moves the target further down the funnel — to contribution margin, retention, customer lifetime value. The agents stop tuning the loud signals and start running against the quiet ones, the ones that compound.
That's the difference between shallow AI marketing management and what this practice does.
Concrete services. Hands-on delivery, end-to-end.
Data foundation
First-party tracking and first-party data — captured across marketing, web, paid, product. Leveraged for targeting and segmentation. The prerequisite for everything that follows.
AI orchestration
Agents running the loops — attribution, measurement, the slow analytical work — across the channels.
Paid · SEM & SMA
Around contribution margin and lifetime value, not initial conversion. Server-side where it matters.
Search · SEO and GEO
Site architecture, core vitals, structured data, content programmes. Things worth finding.
CRO & experimentation
Structured experiments on the routes that already carry traffic. Most wins are removals.
Plan & strategy
A written plan thin enough to re-read every quarter. Markets, positioning, cadence.