Home & furniture
Surface the textures, patterns and styles each shopper loves.
Home catalogs run deep: finishes, fabrics, colorways, variants. Product Genius learns what each shopper is drawn to from how they browse, and brings the pieces that match their taste to the top of a personalized product page feed.
Book a demoThe problem
A standard recommendation app sees a sofa. Your shopper sees a fabric.
Home shoppers often know the look before they know the product: a hand-painted pattern, a weathered finish, a woven texture. Category filters and "you may also like" rows match on product type, so those details get lost.
Your catalog has the right pieces, in dozens of styles and variants. Most shoppers never scroll far enough to find them.
Same product type, same for everyone.
What the agents found: Texture beats taxonomy. A shopper who clicks on rattan wants rattan, in whatever category it lives. The same goes for a shopper drawn to marble or glaze.
Products and your content, ordered for this shopper.
How it works for home & furniture
The feed learns your shopper's taste, piece by piece.
- 01
Texture, pattern and finish, read from behavior.
The details a shopper lingers on tell the feed what draws them in. It surfaces matching pieces across your catalog, not just more of the product type they clicked.
- 02
Every variant, in front of the right shopper.
Colorways, fabrics and finishes deep in your catalog reach the shoppers most likely to want them.
- 03
Your brand story, kept intact.
Personalization works with your own photography, copy and content, so the store still feels like yours.
Pier 1 revenue per session on mobile vs. control, in a randomized A/B test.
Read the case study →It was really cool to see a hard, factual data point that says: here's how you should activate this category.
Other industries
Give every shopper a showroom built for them.
Give us your catalog and see the lift in your own A/B test.
Book a demo