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.
10.7x
ROI on App Cost
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:
In a nutshell: 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, and automate their merchandising to save time, while staying fully in control of strategy.
- Not being able to ensure that every product and not just their best-sellers, was getting enough visibility (i.e., poor product discovery)
- Spending too much time and effort manually curating collections
- Not having a merchandising strategy (and tool) that could boost revenue without harming conversion rates or increasing overhead
The Solution
Bally implemented Kimonix to power both collection sorting and product recommendations from one centralized platform.
In a nutshell: With Kimonix, Bally can now:
See how Kimonix product recommendations work →
- 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?
The Results
10.7x
Increase in ROI on App Cost!
Since using Kimonix's advanced merchandising tools, Bally is seeing:
- A 10.7X ROI* on app cost
- Noticeably higher product discovery and engagement site-wide
- Streamlined merchandising operations with zero disruption to the customer experience
*Measured over a 30-day period
Conclusion
★★★★★
“Great APP to solve Merch issue and to help us to manage complex product categories and items. We use it heavily in Bally across all 11 Shopify headless instances. I strongly recommend this app among the oceans of choice you could have as a company in the APP store.”
Manuela Chizzini
Ecom Digital Merchandiser, Bally
Frequently Asked Questions
What return did Bally get on Kimonix?+
Bally saw 10.7 times return on the cost of the app. Expressed against app cost rather than in absolute terms, it is a straightforward measure of whether the tool paid for itself.
How did Bally reach 10.7x ROI?+
Through personalized product recommendations that put the items each shopper was most likely to buy in front of them, weighted toward products worth selling. Recommendations compound across sessions, so the return builds on traffic the brand was already paying to acquire.
Is a merchandising app worth the cost for a luxury brand?+
The honest test is whether it returns more than it costs against your own traffic, which is measurable rather than a matter of belief. For Bally that came out at 10.7 times app cost, and running an A/B test first is the way to establish it for your own store before committing.