How Kate Hewko Reduced Returns by 21% Using Loop Return Data
About Kate Hewko
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.
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 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.
This resulted in:
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:
1. New products
Recently published items
Sorted to maximize early visibility and discovery
2. Best sellers
Products with above-average sales and conversion
Prioritized to capture high-intent shoppers
3. Non-moving Inventory
High stock, slower sell-through items
Strategically surfaced to improve inventory efficiency
4. 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
Returns rate (Loop integration)
By integrating Loop return data directly into collection sorting, Kate Hewko optimized not just for conversion, but for products that convert and stay sold.
The Results
178%
Revenue Increase
21%
Reduction in Return Rate
27.6%
Improvement in Inventory Healthe
Over a 30-day A/B test with Kimonix, Kate Hewko’s segmented merchandising strategy delivered significant results:
Increased revenue by 178%
Reduced return rates by 21% using Loop return data
Improved inventory health by 27.6%
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. The collection page became a guided experience, not a product dump.
Conclusion
By replacing a one-size-fits-all collection layout with intelligent product segmentation, Kate Hewko transformed its main collection into a high-performing revenue driver.
This case proves that merchandising strategy alone can dramatically impact e-commerce performance.
