Naked Flame Suspended Fires homepage

Case study · Naked Flame

A worldwide store, in one week.

Fireplaces that hang from the ceiling, sold in New Zealand and worldwide. A new store, hundreds of product images and every email flow connected, built in a week.

  • 1 week

    Start to live

  • 21

    Products

  • 100s

    Product images, made with AI

  • Worldwide

    Where it sells

The brand

Fire, hung from the ceiling.

Naked Flame Suspended Fires sells one thing: fireplaces that hang from the ceiling. Bioethanol, gas, wood or electric, four finishes, flat or pitched ceilings.

It sells in New Zealand and worldwide, so the store had to work for someone in Auckland and someone in London on the same day.

The build

One week, start to live.

The Poolboy build was the template. Same page structure, same product page logic, same follow-up. Different brand, charcoal and dusk instead of sun and water.

Because the system already existed, the second brand took a week.

The images

Hundreds of images, no photographer.

Every fire, in every finish, in rooms it could actually hang in. A hero shot and a side-on dimensions shot on the same grey background for every product, then the scenes. Made with AI, to one standard, across the whole range.

Sphere suspended fireplace product page

The product page

Orbit suspended fireplace product page on a phone

Mobile

The product page

Built for a big-ticket decision.

Some of these fires cost more than ten thousand dollars. Nobody buys one on impulse.

Finish, fuel and ceiling pitch are picked on the page, the price follows the choices, and freight is quoted to the door. Every question a showroom would answer, answered before anyone has to ask.

The follow-up

Every flow connected before the first visitor.

The email flows and automations run the same way they do for Poolboy. The welcome, the saved cart, the checkout reminder. Built and connected before launch, not bolted on later.

The point

The second brand took a week.

That's the whole idea. Build the system once, properly, and the next one is quicker.

AI made the images. Automation runs the follow-up. The apps, what most people call agents, do the repetitive work, so people can do the part that needs a person.

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Figures at the time of writing, October 2026.