

VIPONSSI
The brand needed a digital presence with the same point of view as the clothes.
A Shopify rebuild for a hair brand, designed so customers can understand the range, choose the right hair and buy with confidence, especially on a phone.

The rebuild shown here has not been published. The store still runs its original theme while the owner reviews the new one. Rebuild images are captures of the unpublished preview taken on 24 September 2026; “before” images were captured from the live store on 23 August 2026.
The old store opened with a countdown sale and a general message about premium hair. The rebuild opens with the collection itself and two clear routes: start shopping, or learn the difference between Raw and Virgin hair.


Just below the opening, the full range appears with each product’s type and starting price, so customers can begin shopping without hunting through the page.



Two guides turn the linked choices into simple steps. Customers can start from the texture they want, and plan how many bundles they need before anything goes in the cart.


The information customers need to choose now sits next to the length options and the buy button, instead of behind collapsed panels.


Prices differ between the two captures because the store’s own prices and promotions changed. Streetline did not set prices and makes no claim about them.
On a small screen the product page reads top to bottom as one decision: what the hair is, which length, how much it weighs, how many bundles, then add to cart.


The full buying journey was checked on phone, tablet and desktop. Product details were compared with the real Shopify store, and claims the business could not yet support, such as where the hair comes from or how long it lasts, were left out rather than guessed.
The rebuild is ready for the owner’s final review and has not been published. The store still runs its original theme, so there are no before-and-after sales or search results to report.
Next move: If the owner approves it, publish the rebuild, then compare a matching period of store data with the month before it before drawing any conclusions.
Explain what is happening now and where the current setup falls short.