Dell Products Inc.

Munish Gupta

Shree A Dandekar

Rajiv Narang

Guhan Palaniandavan

Ahmed Tariq

Brian Melinat

Jennifer W Bruce

Dongxia Chen

Akintunde A Ehindero

Keisha Daruvalla

A system and method are disclosed for analyzing return on investment (ROI) for social commerce interactions. User data associated with a target group of social media users is collected and processed to generate a first set of social commerce metrics. The user data comprises a first set of social media interaction data corresponding to a first set of social commerce interactions with the target group of social media users. The user data is further processed to generate a second set of social commerce interactions, which are then performed. The performance of the second set of social commerce interactions generates a second set of social commerce interaction data, which in turn is processed to generate a second set of social commerce metrics. The first and second sets of social commerce metrics are then processed to generate social commerce ROI metrics.

Social commerce return on investment

A method and system are disclosed for providing near-real-time actionable insights associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of Social Network Advocacy Pulse (SNAP) data in near-real-time. The resulting first and second sets of SNAP data are then processed to generate a first and second set of actionable insight data, which respectively indicate a near-real-time measurement of sentiment and advocacy related to a predetermined business aspect. The first and second sets of social pricing index data are then processed to generate a set of actionable insight differential data, which indicates a corresponding improvement or decline in sentiment or advocacy related to the business aspect.

Method and apparatus to create a mash-up of social media data and business data to derive actionable insights for the business

A method and system are disclosed for providing a near-real-time measurement of sentiment and advocacy associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of social network advocacy (SNA) data in near-real-time. The resulting first and second sets of SNA data are then processed to generate a first and second set of SNA Pulse (SNAP) metric data, which respectively indicate a near-real-time measurement of sentiment and advocacy for a given aspect of an organization. The first and second sets of SNAP metric data are then processed to generate a set of SNAP metrics differential data, which indicates a corresponding improvement or decline in sentiment or advocacy.

Method and apparatus to calculate real-time customer satisfaction and loyalty metric using social media analytics

Growing community of inventors

Austin, TX, United States of America

Munish Gupta