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FittingRoomVirtusize

FittingRoom is a search engine that allows shoppers to refine searches by size, fit, style, and price, delivering personalized product recommendations.

Vendor

Vendor

Virtusize

Company Website

Company Website

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Product details

FittingRoom enhances the online shopping experience by providing personalized design and perfectly fitting products. It addresses issues such as poor reception of recommended products and high bounce rates by offering a rich and interactive product search experience. Unlike traditional recommendation services, FittingRoom allows users to search and filter products without leaving the product page, ensuring a smooth shopping experience. It optimizes recommendations based on individual body measurement data, recommending products in the "perfect fit" size, considering color, category, and personalized measurements. Integration with analytics enables segmentation based on user's purchase behavior, demographic data, and body measurement data, facilitating precise site retargeting advertisements. The interactive nature of FittingRoom allows users to customize recommendations based on preferences like favorite colors, price range, and brands, replicating the experience of finding desired products with store staff assistance. By focusing on connections between users and desired products, FittingRoom enables site retargeting based on analytics data analysis, leading to improved conversion rates.

Features & Benefits

  • Optimized Recommendations
    • Recommends products in the "perfect fit" size based on user's body measurement data.
  • Interactive Product Search
    • Allows users to search and filter products without leaving the product page.
  • Improved Bounce Rate
    • Recommends similar items in the "perfect fit" size to encourage exploration of other products.
  • Interactive Recommendations
    • Allows users to discover similar products by inputting preferences like favorite colors, price range, and brands.
  • Increased CVR
    • Enables site retargeting based on analytics data analysis, leading to improved CVR strategies.
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