Systems and Methods for Fan Evaluation and Community Development
AssigneeFandomIQ
InventorsPhilip Mordecai, Gary B. Fogel
Life of this patent
Estimating the term…
Abstract
Novel systems and methods to determine a person's status as a fan of a product and/or service through machine learning for the purpose of customer management, community management, product development, directed marketing, and branded content entertainment in a dynamic, real-time, and optimized manner. These novel systems and methods also for optimizing the delivery of marketing and non-marketing content to fans making use of an ecosystem, such as an embargo hub, for the analysis and understanding of fan behavior in terms of fan-content interaction, fan-community interaction, and their combination.
Claims20
A system for the improved understanding and use of fans, fandom, and fanness, the system comprising:
- a secured marketing ecosystem and data storage system for storing information about content, fans, and their behavior, wherein internally or externally derived content is distributed to fans of any chosen degree of fanness;
- wherein fans are clustered based on their fandom relative to the associated content and brand;
- wherein specific fans of a known fan community and/or fandom are invited to the secured marketing ecosystem to engage with content, with data captured about the fan cohorts, content, and their interaction and non-interaction;
- further wherein fandom metrics are quantified and dynamically updated based on such captured data;
- and wherein the quantified fandom metrics are used to inform, including dynamic matching of content to at least one selected from the group consisting of individual fans, fan clusters, fan communities, content modeling, content generation, assembly, content timing, distribution, fan community size, fan behavior, fan clustering, fandom, and fanness.
A method for the improved understanding and use of fans, fandom, and fanness, the method comprising:
- providing internal or external content through distribution tools, providers, and channels via a secured platform consisting of a marketing ecosystem wherein content is provided interactively to fans of any chosen degree of fanness, wherein data is captured about the interaction and non-interaction of fans and content within the marketing ecosystem, identifying and clustering fans and possible fans on a spectrum of fandom from least to most relative to brand and content;
- quantifying metrics about fans, fan communities, and fandoms based on the captured data;
- dynamically updating the quantified metrics over time;
- and using information from the marketing ecosystem to identify new likely fans, invite fans to the ecosystem, and provide appropriate content to the new likely fans based upon the quantified metrics, wherein the fan and content interaction informs at least one selected from the group consisting of content modeling, content generation or assembly, content timing, distribution decisions, and evolution of fan community dynamics for the improved understanding of fandom and its trajectory.
A system for dynamic content assembly, production, and deployment based on fandom metrics, the system comprising:
- a multi-source ingestion layer configured to receive content inputs from live, recorded, distributed, or swarm-based sources;
- a scoring component configured to evaluate the dynamic content relative to the fandom metrics;
- an environment evaluation component configured to assess contextual or environmental conditions affecting distribution;
- a matching component configured to match the dynamic content to individual fans, fan clusters, or fan communities;
- and a feedback mechanism configured to update the fandom metrics and content models in real time.
Dependencies are inferred from the claim text.