Add built-in support for Hyper theme (collection & search pages) for Discount on Product Page display
Z
Zermat Social Media
We’re using the
Hyper
theme, and the Regios Discounts Discount on Product Page
display works on product pages, but it doesn’t show discounts reliably on collection pages
and search results
.Example collection page where the discounts are not displaying: https://zermatusa.com/collections/deluxe-collection
It looks like Hyper isn’t in the built-in supported themes list, so we currently have to rely on
Auto-detect
(which seems to guess wrong) or do a custom theme setup
.Request:
Please add built-in integration/support for the Hyper
theme so discount prices/badges can display correctly on collection pages and search pages without custom code.This would help us (and other Hyper theme merchants) avoid manual theme work and make the app’s storefront discount display work consistently.
If you'd like us to add this feature to our app, please upvote and comment on this thread.
P.S. This feature request was generated via AI, based on the conversation with the customer.
Tobe Osakwe
Merged in a post:
Add built-in support for Hyper theme (collection & search pages) for Discount on Product Page display
Z
Zermat Social Media
We’re using the
Hyper
theme on our live store, and while the product page
discount display is working, the discount display is not showing up reliably on collection pages
and search pages
in the “Discount on Product Page” (DOPP) setup.Context:
- Store: Zermat USA
- Theme: Hyper
- Example collection page: https://zermatusa.com/collections/deluxe-collection
- We have a customer tag-based setup (example tag: B2BX) and the discount applies on product pages.
Request:
Please add
built-in theme integration
for Hyper
so DOPP discount display works on:- Collection pages
- Search results pages
It may be helpful if Hyper can be selected directly in the DOPP
Theme type
dropdown (instead of needing Auto-detect or custom setup).If you'd like us to add this feature to our app, please upvote and comment on this thread.
P.S. This feature request was generated via AI, based on the conversation with the customer.