Customers

Retailers who left ranking rules behind

Three stores in our early-access program shared one problem: catalogs too large for manual upkeep. The common result was higher revenue per session, fewer returns, and a merchandising team no longer writing sorting rules.

+18%
Average revenue per session
+31%
Category page conversion
-22%
Return rate on ranked categories
<1 day
Median time to first ranked result

Aggregated beta customer results, measured across 60-day periods with equivalent traffic volumes. Individual results vary.

Case study

Veldora Outdoor

Australian outdoor equipment retailer • 340K products • Magento

The challenge

Veldora's merchandising team managed over 2,400 sorting rules for a 340K-product catalog covering camping, hiking, climbing, and cycling. Seasonal changes caused conflicts. Strong sellers in one category disappeared in nearby ones, while three staff hours each week went to rule upkeep.

The outcome

+21% Revenue per session
+38% Category conversion rate
0 Category rules maintained

"We removed 2,400 sorting rules in one afternoon and have not added one since. Session data understands each shopper better than we do."

Head of Ecommerce, Veldora Outdoor, early-access program
Case study

Lendish Home

UK homewares and furniture retailer • 180K products • Shopify Plus

The challenge

Lendish faced a cold-start issue: over 40% of its catalog changed each season. New products stayed at category-page bottoms for weeks until manual curation moved them, so launching 800 new pieces each season consumed days of merchandising time while most remained buried.

The outcome

4.2x New product discovery rate
-19% Returns on new arrivals
6 hrs Weekly merchandising time saved

"New arrivals reach relevant shoppers within hours of going live. Seasonal launches now feel like a normal trading day, not a merchandising sprint."

Director of Retail Technology, Lendish Home, early-access program
Case study

Truvaris Sports

Multi-sport specialist, AU/NZ • 260K products • BigCommerce + API

The challenge

Truvaris operated two storefronts, one for competitive athletes and one for recreational buyers. The catalog was shared, but intent differed significantly. They could not show the same products in different orders by storefront intent without doubling curation work.

The outcome

+14% Revenue per session (both sites)
+29% Cross-category discovery
1 Shared catalog, 2 ranked storefronts

"One catalog, two shopper intents, zero rules. The engine automatically distinguishes them from each session's signals."

CTO, Truvaris Sports, early-access program
Customer feedback

In their words

"I expected integration to take a week. It took six hours. The catalog sync brought in 260K products, and ranked results went live before that first day ended."

Lead Developer, Truvaris Sports, from our early-access program

"Our team doubted that removing rules would protect revenue. The A/B data after 30 days was clear, and nobody wanted to return."

Head of Ecommerce, Veldora Outdoor, from our early-access program

"Per-shopper ranking means our 6-week seasonal changeover no longer needs three people watching category positions. That time is more useful elsewhere."

Ecommerce Manager, Lendish Home, from our early-access program

Your catalog, ranked per shopper

Start with a 14-day free trial, or talk with us first about catalog size and platform. We will confirm fit before you spend time on integration.

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