Abstract: This invention relates to marketing and creation of digital content (text, voice, video, imagery, etc.) and understanding what topics are most relevant for an intended audience, its size, the type of content that audience wants to consume, and the optimal distribution method (social media, email, podcasts, voice assistants, web pages, mobile apps, etc.), and leveraging machine learning to automatically create content with a high chance of success.
Type:
Grant
Filed:
September 6, 2022
Date of Patent:
July 23, 2024
Assignee:
Data Skrive, Inc.
Inventors:
Brad Weitz, Jason Flores, Richard Sanchez
Abstract: This invention relates to marketing and creation of digital content (text, voice, video, imagery, etc.) and understanding what topics are most relevant for an intended audience, its size, the type of content that audience wants to consume, and the optimal distribution method (social media, email, podcasts, voice assistants, web pages, mobile apps, etc.), and leveraging machine learning to automatically create content with a high chance of success.
Type:
Application
Filed:
September 6, 2022
Publication date:
August 3, 2023
Applicant:
DATA SKRIVE, INC.
Inventors:
Brad Weitz, Jason Flores, Richard Sanchez
Abstract: This invention relates to marketing and creation of digital content (text, voice, video, imagery, etc.) and understanding what topics are most relevant for an intended audience, its size, the type of content that audience wants to consume, and the optimal distribution method (social media, email, podcasts, voice assistants, web pages, mobile apps, etc.), and leveraging machine learning to automatically create content with a high chance of success.
Type:
Grant
Filed:
August 30, 2019
Date of Patent:
October 11, 2022
Assignee:
DATA SKRIVE, INC.
Inventors:
Brad Weitz, Jason Flores, Richard Sanchez