Oregon · Applied AI
AI personalisation in Eugene
AI personalised CX – wired into a Eugene workflow, not bolted on the side.
What AI personalisation actually does
Every customer sees the right product, message, and offer – based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.
The reason we take on work in Eugene is that the businesses here tend to be sharper about what they want than the brief lets on. AI personalisation for a Eugene team almost always ends up looking different to AI personalisation for a downtown Auckland one.
- 01 Per-customer recommendations across web and email
- 02 Dynamic landing pages tailored to traffic source
- 03 Lifecycle messaging triggered by real behaviour
- 04 GDPR + NZ Privacy Act compliant by default
Built on: Claude Vercel Edge Postgres Klaviyo
Why Eugene businesses choose this
Eugene runs on higher education, timber and a growing outdoor gear and sportswear industry – AI here means fitting a market that values craft over hype.
Our field notes from Eugene builds.
A major public university, a timber and forest-products industry with deep roots, and a footwear and sportswear cluster that grew up around it. Eugene businesses want AI that's genuinely well-built, not just well-marketed.
We work with teams across Eugene: Downtown Eugene · Whiteaker · Springfield · South Eugene · River Road · Santa Clara.
How we build AI personalisation for a Eugene team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Eugene business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI personalised CX.
The outcome for Eugene teams
What changes for Eugene teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Conversion lift of 18-32% over generic site experiences.
Conversion lift of 18-32% over generic site experiences.
AI personalisation in Eugene – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI personalisation worth it for a smaller Eugene?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Anyone else in this space using AI personalisation?
Plenty. Conversion lift of 18-32% over generic site experiences. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What tools do you build AI personalisation on?
For AI personalisation we usually reach for Claude, Vercel Edge, Postgres, Klaviyo. We're tool-agnostic at heart – we pick what your Eugene team can actually run after we hand the build over, not what looks good on a vendor sticker.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.