Advertising Revenue Share Earnings Model

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This diagram models the complex ecosystem of a digital content sharing and advertising platform with a focus on how user interactions generate revenue and how attention resources are used across various media channels. At the core of the system are various types of content and advertisements such as "Digest-to-Earn," "Gossip-to-Earn," "Worlds.News Shared Content," "Advertisements Viewed," and advertisement impressions, each represented by pool nodes storing resources that symbolize user engagement or content dissemination. Source nodes like "Feed Native Ads," "User Attention Resource," and "Feed Boost Ads" continuously introduce new resources into the system, representing the influx of user attention and advertising content.

The system also highlights how these resources are transferred between different media outlets, including "Traditional Radio," "Satellite Radio," "Music Streaming," "Billboards," "Mobile OOH," "Over-the-Top," and "Traditional TV," demonstrating a comprehensive approach to utilizing user attention across various platforms. Key processes like "Advertisement Impressions Report" indicate how user engagement with ads across these outlets is tracked and reported. Machination registers like "User Total Earnings (USD)," "Worlds.News Revenue," and "Kochava Fee" calculate monetary values based on interactions and views, translating user engagement and content sharing into quantifiable revenues and expenses. The diagram showcases the dynamism of digital advertising and content sharing, revealing how user engagement not only contributes to the user's earnings but also drives the platform's revenue through a sophisticated network of content dissemination and advertisement viewership.