In emerging markets, where online shopping predominantly takes place through Facebook and Instagram,STYLHUNT allows users to find shops they can trust in just a few clicks. This use case is currently underserved by Google search because it is not optimized for social media content and does not return relevant search results. They address this issue by aggregating thousands of merchants and allowing users to quickly filter through them on the basis of style and trust.
It is exceedingly difficult to find online shops in social commerce markets because (1) there are thousands of them,and (2) Google search is not optimized for social media content. Unlike conventional web content, Facebook and Instagram pages are essentially limited to only the URL, page title, and the “About” description as a means of performing SEO. As a result, Google searches for social media shops returns hundreds of random links with very little relevance to the user’s search objective. For example, a shopper can key in a search for “selling clothes on Facebook” and browse through 20 pages of search results without ever encountering even one of the Top 5 most popular and trusted shops in the country.
STYLHUNT aggregates and indexes thousands of social media merchants,and allows shoppers to quickly filter through them on the basis of style and trust. Style is assessed visually through search result images representing each merchant’s product selection. Trust is assessed through ranking by total Likes or Follows (indicating community trust) and Friend Likes (indicating trust from the user’s personal network). Users can save favorite merchants and products to a wish list or collection of visual bookmarks for future reference. In addition, they can share their collections with friends or community to exchange shopping discoveries, gift ideas, fashion trends, and personal expression.