AI personalisation for gyms.
AI personalised CX, built around how a gym actually works.
Spots members going quiet and follows up personally, timed around school holidays and the start of each term.
How it works in New Zealand
We find the one workflow costing gyms the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
What AI personalisation actually does
Every customer sees the right product, message, and offer - based on what they've bought, browsed, and asked. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Small team.
Real systems.
Zero fluff.
What you get
Conversion lift of 18-32% over generic site experiences.
- Per-customer recommendations across web and email
- Dynamic landing pages tailored to traffic source
- Lifecycle messaging triggered by real behaviour
- GDPR + NZ Privacy Act compliant by default
- No annual contracts
- No shelfware or licences you do not use
From one-person trades to national organisations, we find the hours :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
What years of building for gyms taught us.
Gyms and studios live or die on membership retention, and most churn happens quietly, weeks before someone cancels.
Lead follow-up, trial conversion, and renewal reminders are the levers that decide a gym's membership numbers.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions gyms ask
Will this run on our own infrastructure?
Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.
When does AI personalisation actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a gym - so the savings start landing before the rest of the build is finished.
Do you have proof this works for gyms?
Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.
Is our data kept in New Zealand?
Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
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