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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.
vertical: | Department store |
market: | North America |
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.
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.
A/B TEST SETUP | |
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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. |
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