Browse Prior Art Database

System and Method to Generate Dynamic Promotions using Social Analytics

IP.com Disclosure Number: IPCOM000236433D
Publication Date: 2014-Apr-25
Document File: 2 page(s) / 69K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method is use information from a person's social network profile to dynamically generate promotions, discounts, and coupons through the Internet.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 2

System and Method to Generate Dynamic Promotions using Social Analytics

Social Commerce is continually growing, and every company is putting creating a presence over social media to grow market outreach and increase the customer base. In current electronic commerce (eCommerce) platforms, the promotions, discounts, and coupons are defined by the marketing teams for specific products by volume or combination and are targeted to specific customer segments. There is not much social intelligence involved in defining promotions.

With the advent of social commerce, consumers' expectations have increased and it is desirable to promote products and provide discounts and coupons that are more relevant to a user's social profile and interests. For example, if a user is more interested in sports products, then the promotions that are displayed can be sports related, special discounts/coupons for sport products can be given while the customer is shopping through the website.

Currently, many companies create web pages and users get the promotional ads and coupons on a social profile page or in emails. This does not take into account a user's interest and does not combine the capability with eCommerce websites.

The novel contribution is a method to use information from a person's social network profile to dynamically generate promotions, discounts, and coupons. The mechanism learns about the kinds of products that are of interest to a user by analyzing the user's preferences and likes on social networks. For example, if a user is interested in sports and likes a specific brand, the system can dynamically generat...