Flash Deals Site Personalizes Based On Shopper’s ‘Style-Graph’ [Future Of Retail]
An online portal aims to create a more personalized shopping experience by using data received from purchases and social shares.
Our latest Future Of Retail Report looks at the trend of Auto-Curated Shopping. One manifestation of this theme is Uncovet. The e-retailer offers a flash sales site that aims to create a more personalized shopping experience by using data received from purchases and social shares to capture user’s ‘style-graph’ which is structured data like an ‘interest-graph’ (or ‘social-graph’) but pertaining specifically to shopping taste.
The startup, which sells designer clothing and products, uses Facebook Connect to allow users to invite friends to the site and, if enabled, takes a user’s Facebook Likes into account when recommending products, trends and styles. In the future, Uncovet wants to build out its discovery engine, by combining data from Pinterest, Svpply, Twitter and email.
To move beyond novelty activations and one-time gimmicks, PSFK equips marketers with the insights, templates and analytics to develop high-reach campaigns that meet consumers in the moment, collect and build upon experiential data, and build scale through content creation.