Glimpse Uses Facebook Likes to Create Custom Product Catalog
Katherinev123 — July 12, 2012 — Business
References: glimpse.thefind & psfk
Online shopping can be a time-consuming affair, what with all the product choices bombarding consumers from all directions, but the online shopping platform Glimpse aims to change that. By compiling and analyzing a consumer's Facebook 'Likes,' Glimpse can create a custom product catalog tailored to an individual's interests and preferences.
Glimpse essentially takes what you have liked in the past, as well as what your Facebook friends like, and creates a tailored shopping experience just for you, presenting it in a visually appealing, pin board-style layout. Shoppers can also browse through the catalog based on the product, retailer or brand and buy items directly on Glimpse. According to PSFK, Glimpse has about 550 million products available from over 500,000f from both on- and offline retailers.
Glimpse essentially takes what you have liked in the past, as well as what your Facebook friends like, and creates a tailored shopping experience just for you, presenting it in a visually appealing, pin board-style layout. Shoppers can also browse through the catalog based on the product, retailer or brand and buy items directly on Glimpse. According to PSFK, Glimpse has about 550 million products available from over 500,000f from both on- and offline retailers.
Trend Themes
1. Preference-driven Online Shopping - Opportunity for businesses to use AI and data analytics to personalize the online shopping experience.
2. Social Media Analytics - Opportunity for businesses to use social media analytics to gain consumer insights and tailor product offerings to meet customer demands.
3. Visual Shopping Platforms - Opportunity for businesses to create visually appealing online shopping platforms that simplify the customer experience.
Industry Implications
1. Retail - Opportunity for retailers to leverage personalization technology for online shopping and improve customer retention and loyalty.
2. E-commerce - Opportunity for e-commerce companies to integrate social media analytics into their platforms to enhance the online shopping experience.
3. Data Analysis - Opportunity for companies in the data analysis industry to develop new technologies to support personalized online shopping experiences.
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