Show Related Products That Lift Order Value

It adds personalized cross-sell recommendations to your collection and product pages — surfacing complementary products at the moments shoppers are most likely to add them — to lift average order value. Rather than generic 'related items', the suggestions are based on real customer behavior and purchase patterns, and they're placed at peak-conversion points so they feel helpful rather than pushy.

Kimonix adds related products to your collection and product pages as personalized cross-sell elements — no manual pairing or theme code. It surfaces complementary items based on real customer behavior and purchase patterns at high-intent moments (a 'complete the set' prompt beside a product, or related items in the collection grid), so shoppers discover more and average order value rises.

They're driven by customer behavior and purchase patterns — which products are genuinely bought or viewed together — rather than manual pairings. Each shopper sees complementary items they're realistically likely to add, and the suggestions improve over time as the system learns from more of your store's data.

Primarily on collection and product pages, rendered as elements that match your store's theme. They're positioned at high-intent moments — alongside a product a shopper is considering, or as a 'complete the set' prompt — so they catch attention without disrupting the browsing flow.

The most reliable lever is showing each shopper the right complementary product at the right moment. Kimonix does that automatically — it places behavior-based related products and 'complete the set' prompts on collection and product pages, weighted toward items that are in stock and worth selling, so baskets grow without discounting. You then track the added revenue per element and refine what works.

Yes. The cross-sell elements auto-adjust to your store's theme — fonts, colors, and layout — so they look like a native part of your storefront rather than a bolted-on widget. You also control what details each element displays, keeping the experience consistent and on-brand.

Yes — analytics track how each cross-sell element performs, showing the clicks, add-to-carts, and added revenue it drives. You can see which placements and product pairings work best and refine them, so your collection and product pages keep getting better at lifting average order value.

Kimonix approaches cross-selling as merchandising, not pop-ups: behavior-based related products placed natively on collection and product pages, weighted toward profitable, in-stock items, with reporting on the revenue they add. It's part of the same engine that sorts your collections, so cross-sells stay consistent with the rest of your merchandising. Brands like JD Sports and EME Studios use it.

Kimonix helps fashion brands lift average order value by nudging shoppers to add the complementary piece — the top that goes with the skirt, the belt with the dress. It places 'complete the set' and related-product suggestions natively on your collection and product pages, picked from how your customers actually shop and weighted toward in-stock, profitable items — not discount-driven pop-ups. Brands like JD Sports and EME Studios use it.

Yes — cross-selling is a core part of the platform. It adds personalized related-product and 'complete the set' elements at high-intent moments, chooses them from real purchase behavior, matches your theme, and reports the added order value — so cross-selling becomes a measurable AOV lever rather than a generic widget.