SUCCESS STORIES
Simons
In a two-month AB test against a standard Fit Finder setup, Fit Analytics’ Product Suggestions feature delivered a 2% increase in conversion rate and an additional 10% increase in net revenue per visitor for one of Canada’s most iconic retailers.
+2%
Increase in conversion rate
+10%
Increase in revenue per visitor
+2%
Increase in conversion rate
+10%
Increase in revenue per visitor
Company
Proud Canadian fashion destination Simons is a family-owned retailer providing the most sought-after global assortments to Canadian consumers since 1840. In addition to a robust online shop, Simons operates fifteen stores across Canada including the nation’s first net-zero ecological footprint store, a ground-breaking flagship store in Galeries de la Capitale in Quebec. The company offers an exciting mix of designer and in-house brands for men, women, and home.
Market
North America
Vertical
Lifestyle
Challenges Faced
Simons has enjoyed a positive sales impact from Fit Finder on its e-commerce store since 2016 and was keen to see if the new Product Suggestions feature could help drive discovery online and unlock additional revenue.
“We were extremely impressed with the additional uplift delivered by Product Suggestions in such a short timeframe and look forward to exploring the innovative methods Fit Analytics offers to drive discovery and optimize the customer journey.”
Solution
Product Suggestions is easily enabled in any existing Fit Finder integration so there was zero additional work for Simons in activating the feature.
Results
By enabling Product Suggestions, shoppers were automatically shown compelling alternatives in scenarios where they had reached a sizing dead end and would normally have been forced to either restart their shopping journey or leave empty handed.
The results were impressive: shoppers using Fit Analytics’ Product Suggestions feature showed a 2% increase in conversion rate. Following recommendations for items with a more accurate fit also led to a 10% increase in net revenue per visitor and a 5% increase in average order value.
How Product Suggestions Works
When a customer finishes the Fit Finder journey and a product is not available in the recommended size, the Fit Finder Product Suggestions feature automatically recommends other in-stock items that are sure to fit.
Product Suggestions can also kick in when a customer receives a recommendation for an item that is not likely to fit well (and therefore more likely to be returned). In this case, Product Suggestions surfaces similar available items that are more likely to fit.
Test setup
Website
www.simons.com
Time Period
Oct. 19 – Nov. 31, 2017 and Dec. 26, 2017 – Jan. 25, 2018
Number of Shoppers
110,000+
Type of Test
A/B test with Fit Finder versus Fit Finder with Product Suggestions
More Case Studies
Amaro
In just two months, Fit Analytics delivered a significant bottom-line boost for Brazil’s hottest digital native brand.
+2%
Increase in conversion rate
-4%
Reduction in return rate
The Iconic
In a three-month A/B test with Fit Analytics, visitors exposed to Fit Finder contributed to a higher conversion rate and a lower return rate for Australian retailer THE ICONIC.
+1%
Increase in conversion rate
+6%
Increase in revenue after returns
Alpha Industries
In under a month, Fit Analytics delivered a 6.2% increase in net sales to one of America's most beloved military heritage brands.
+5.7%
Increase in conversion rate
+6.3%
Increase in total
orders
