Case study · Automotive
An auto parts store that finds the part by the car.
An e-commerce site for a Tasmanian clock spring specialist: shop by make, OE quality parts from Germany, sale and best seller rails, and a brands wall covering Nissan, Toyota, Honda, Ford, Holden and more.
- Client
- CLOCK SPRINGS AUSTRALIA
- Sector
- Automotive
- What we built
- Automotive parts storefront with shop by make and fitment.
- Platform
- WooCommerce store with category by make, fitment data on each product and account, cart and favourites.
In short
Clock Springs Australia supplies genuine and aftermarket clock springs, steering angle sensors and combination switches. Customers know their car, not the part number, so the store had to start from make and model and get to the right part in two clicks.
The brief
Nobody searches for a part number.
A buyer with a dead airbag light knows they drive a 2012 Hilux. The store had to translate that into one product.
What had to be true
Shop by make
Alfa Romeo to Holden in the left rail, from the first screen.Fitment on the product
Which years and models each spring fits, stated on the page.OE quality stated
German sourced quality parts, said plainly in the hero.Sale and best sellers
The parts people actually buy, visible before any search.
What we did
We put the make list where the search bar usually goes.
Browse by brand first, then narrow by model. Search is there for the people who do know the number.
01
Make rail
A persistent category list of makes on the shop and home pages.
Start from the car.
02
Fitment data
Compatible models and years on every product, with the OE reference beside the price.
Confidence it fits.
03
Brands wall and rails
Brand logos, on sale and best sellers on the home page to shortcut the common buys.
Fewer clicks to the usual parts.
The work
Screens from the build.




What changed
From car to part in two clicks.
What the catalogue structure does for the buyer.
2
clicks from make to part
12+
makes in the shop rail
OE
quality stated on every listing
Technology
What this was built with.
Chosen to fit the problem and the team who owns it now.
01Web
React
Next.js
TypeScript
Node.js
Laravel
WordPress
02Commerce
Shopify Plus
WooCommerce
BigCommerce
- Headless storefronts
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