Artificial intelligence prediction of high-value social media audience behavior for marketing campaigns

US11494811B1 · kind B1 · utility

Assignee

• Isolation Network, Inc. · US

Inventors

• Shantanu Sharma · Ephrata, US
• Yu-Chien Huang · Taoyuan, TW
• James Parks · Antioch, US
• Daniel Cownden · Victoria, CA
• Jia Wen Tian · Victoria, CA

Key dates

• Filing date: Feb 24, 2022
• Grant date: Nov 8, 2022
• Expiry date: Feb 24, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A marketing analytics pipeline includes an opportunity detection analytics hub and a marketing platform, wherein the opportunity detection analytics hub is configured to use trend data reports from a consumption database to fit statistical models based on streaming consumption and interaction patterns of social media UGC (user generated content) and to send growth and re-engagement opportunities to a marketing action analytics hub, and wherein the marketing platform is configured to interact with the marketing action analytics hub to create targeted marketing campaigns based around high growth potential audiences. In a further aspect, the opportunity detection analytics hub includes an offline prediction model generation component and an online opportunity detection component that receives both current streaming consumption and social media UGC interaction data for a plurality of media IP assets and identifies opportunities from the combination of these two data sources that could not be detected if analyzed separately, inclusive of a case where significant changes are detected in social media UGC interaction patterns, but are not yet detected in streaming consumption.