How Kate Hewko Reduced Returns by 21% Using Loop's Return Data

Kate Hewko is a contemporary women's fashion brand known for its curated collections and trend-forward apparel. Focused on delivering both style and quality, the team sought to enhance product discovery and performance across its core collection pages.

Kimonix powers the merchandising logic.

Loop powers the returns intelligence.

The Challenge

The challenge was simple but common: too many products competing for attention, leading to diluted engagement and missed revenue opportunities. To address this, the team tested a new segmented merchandising strategy against their existing setup in a month-long A/B test, tripling its revenue from collection pages.

As an additional part of this strategy, Kate Hewko also leveraged return-rate data from Loop as a merchandising parameter. Since incorporating Loop's return data into its collection sorting, the brand has reduced return rates by 21%, helping ensure that increased sales translated into higher-quality, more profitable orders.

The original setup factored in conversion rate, sales, and new arrivals, but without inventory-aware sorting. There was also no separate strategy or segment per product, causing competing parameters to clash.

• Lower visibility for best-sellers
• New products struggling to gain traction
• Inventory-heavy items not getting prioritized exposure

The Solution

Products were divided into dynamic segments, each with its own rules:

New products — recently published items, sorted to maximize early visibility and discovery. Best sellers — products with above-average sales and conversion, prioritized to capture high-intent shoppers. Non-moving Inventory — high stock, slower sell-through items, strategically surfaced to improve inventory efficiency. The rest — remaining products, sorted by performance signals.

Each segment used performance-based sorting signals such as conversion rate, sales quantity, inventory levels, page views, variants with stock ratios, and returns rate via the Loop integration.

By integrating Loop's return data directly into collection sorting, Kate Hewko optimized not just for conversion, but for products that convert and stay sold.

The Results

Over a 30-day A/B test with Kimonix, Kate Hewko's segmented merchandising strategy delivered significant results across revenue, returns, and inventory health.

With performance-based segmentation in place, the collection page became a high-converting, inventory-efficient revenue driver. The new segmented strategy aligned how products were displayed with how customers actually shop — turning the collection page into a guided experience, not a product dump.