How Bally Turned Smarter Product Recommendations into a 10.7X ROI

Founded in 1851, online apparel store Bally is best known for blending heritage craftsmanship with modern luxury. From ribbon factory to global icon, its legacy is rooted in quality, tradition, and innovation, while also having a strong commitment to sustainability and mountain conservation, worldwide.

It’s something you can feel in every aspect of their store, including their online merchandising.

The Merchandising Challenge

Because of their broad product range, Bally found themselves leaving too much potential inventory movement on the table and were unable to scale their merchandising strategy. The three challenges they were looking to overcome were:

1. Not being able to ensure that every product and not just their best-sellers, was getting enough visibility (i.e., poor product discovery)

2. Spending too much time and effort manually curating collections

3. Not having a merchandising strategy (and tool) that could boost revenue without harming conversion rates or increasing overhead

Ultimately, Bally needed an all-in-one Shopify solution that could:

• Optimize collection sorting and product personalization with just one app

• Improve site navigation and product discovery across all their categories

• Automate their merchandising to save time — while staying fully in control of strategy

The Solution

Bally implemented Kimonix to power both collection sorting and product recommendations from one centralized platform.

With Kimonix, Bally can now:

• Automate multiple Shopify sorting strategies across multiple Shopify collections

• Enhance personalization by combining smart sorting with tailored product recommendations

• Improve shopper experience through more relevant product discovery and intuitive navigation

The Strategy

Here’s how they did it:

With such an extensive Women's Collection, Bally created strategic segments for key categories:

• Shoes

• Bags

• Accessories

• Clothing

Each segment was set up with a unique sorting strategy, aligned to Bally’s goals of driving conversions while showcasing a much broader range of products. 

By automating these collections and integrating personalized recommendations, Bally ensured that shoppers were guided to the right products — whether browsing best-sellers, new arrivals, or even slow-movers.

And the results?