In our latest report, we analyze different consumer shopping behavior between the genders, as well as how shoppers in different regions interact with our AI-driven size solution.
As apparel retailers enter the era of the ‘new normal’ brought on by the pandemic, stores that want to stay ahead of the curve will require a firm grasp on consumer behavior. This knowledge allows companies to position their business more effectively and make impactful data-driven decisions.
Our data-driven report will also give insight to various levels in the retail industry. From merchandisers to e-commerce managers, all will procure the necessary knowledge to better reach their goals, which will have a positive impact on ROI (by increasing conversions and lowering returns).
3 Key Consumer Shopping Behavior Patterns Between 2018 and 2020
#Trend 1 – While Fit Finder purchases reached an average of 57%, Non-Fit Finder purchases scored a lower 43% indicating that users who utilize the recommendations of our size advisor tool consistently buy more items compared to those that ignore our fit solution.
#Trend 2 – North American and European data show that Fit Finder users always have a lower return rate compared to non-Fit Finder users.
#Trend 3 – Despite the challenges caused by the pandemic, we see that for the following verticals – Active, Denim, Fast Fashion, and Outdoor – Fit Finder users consistently experienced a higher conversion rate compared to non-Fit Finder users.
In the era of the ‘new normal’, retailers who want to position their business more effectively and make impactful data-driven decisions will need a firm grasp on consumer behavior.
Read more findings from our report to stay ahead of the curve.
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