How Bally Turned Smarter Product Recommendations into a 10.7X ROI

Founded in 1851, Bally blends heritage craftsmanship with modern luxury. Known for their legacy rooted in quality, tradition, and innovation, with a strong commitment to sustainability and mountain conservation.

The Challenge

Bally's broad product range left inventory movement potential untapped. They were unable to ensure every product — not just best-sellers — was getting sufficient visibility. Their team was spending too much time manually curating collections, and needed a strategy to boost revenue without harming conversion rates or increasing overhead.

They needed an all-in-one Shopify solution that could optimize collection sorting and product personalization, improve site navigation and product discovery, and automate merchandising while keeping the team in full control.

The Solution

Bally implemented Kimonix for both collection sorting and product recommendations from a centralized platform. This enabled automated Shopify sorting strategies, enhanced personalization combining smart sorting with tailored recommendations, and improved shopper experience through relevant product discovery.

For their Women's Collection, Kimonix created strategic segments for key categories — Shoes, Bags, Accessories, and Clothing — each with a unique sorting strategy aligned to conversion goals while showcasing the broader product range.

The Results

In 30 days, Bally achieved a 10.7X ROI on app cost, noticeably higher product discovery and engagement site-wide, and streamlined merchandising operations with zero customer experience disruption.