La Maison 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.
About La Maison Simons
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.”
Product Suggestions is easily enabled in any existing Fit Finder integration so there was zero additional work for Simons in activating the feature.
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.
Increase in conversion rate
Increase in revenue per visitor
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
Solve Sizing Today
About Fit Analytics
|A/B TEST SETUP|
Oct. 19 – Nov. 31, 2017 and Dec. 26, 2017 – Jan. 25, 2018
Number of shoppers
Type of test
A/B test with Fit Finder versus Fit Finder with Product Suggestions.