Novel approach for publishing/streaming of Advertisements and distribution of revenue thereof

Abstract

The present invention discloses system and method of a digital advertising and content distribution platform to optimize ad placement, enhancing user engagement, and equitably distribute ad-generated revenue among all stakeholders, including users, content creators, and platform administrators assigning portions of ad revenue based on the interaction of specific users with specific ads during the broadcast of content, which allocates revenue to users based on their engagement with ads, which compensates content creators for hosting ads during their programs, which accrues to platform administrators for managing and maintaining the platform; and, which is dedicated to the ongoing maintenance of server wherein Ad Controller plays personalize content and ad streams adapting to user preferences and viewing habits but also ensures that content creators are incentivized to produce high-quality, engaging content integrating a real-time, user-centric revenue model that rewards user interactions, supports content quality, and maintains a high-performance delivery system.

Specification

Description:DESCRIPTION

FIELD OF INVENTION

[001] The present invention relates to the field of computer sciences and more specifically to the field of Content Distribution Networks.

BACKGROUND

[002] In the rapidly evolving digital landscape, the volume of advertisements across various platforms has surged significantly largely driven by the digital transformation of media consumption and the corresponding shift of advertising budgets from traditional media to online spaces. Every day, millions of ads are served across numerous platforms, targeting users who stream video content ranging from movies and TV shows to live events and user-generated content. While ads generate significant revenue for platforms and content creators, they often disrupt the viewing experience, leading to viewer fatigue and dissatisfaction. The typical user has limited control over the types of advertisements they encounter during their viewing sessions. Advertisements are usually placed in a one-size-fits-all manner, without considering individual preferences or interests not only diminishing the relevance of ads but also impacting the effectiveness of advertising campaigns. Most streaming platforms utilize a standard advertising model where ads are inserted into content streams at predetermined intervals, often without any input from the viewer. The choice of ads is dictated by algorithms designed to maximize overall revenue and efficiency, rather than viewer satisfaction or engagement.
[003] Moreover, the current advertising revenue model in digital streaming heavily favors the platform and content creators. Revenue generated from advertisements is distributed among the platform, network, or creators, with advertisers paying premium prices to capture the attention of a large audience. Meanwhile, viewers, who are essential for the success of any advertising campaign, do not receive any portion of this revenue. They are expected to consume content and ads passively, without any direct benefits despite their critical role in the advertising ecosystem. This imbalance has led to growing viewer discontent and ad fatigue, where users feel undervalued and overwhelmed by incessant and irrelevant advertising.
[004] US20230224551 describes a system and method of providing an advertisement through a streaming video is proposed. In the system of providing the advertisement through the streaming video, when advertisers registers advertisements on a streaming server, a streamer may select any one of the registered advertisements, and when the streamer activates an advertisement function, a real-time broadcast video of the streamer may be converted into an advertisement video of the advertisement selected by the streamer. A streamer selects any one of the advertisements registered by the advertisers, and provides advertising content to viewers by including an advertising content provision object, such as an advertising product information link, in a streaming video transmitted by the streamer.
[005] KR1020230112203 discloses a method for producing, by an electronic device, a live streaming video including an advertisement video, which may have an effect of efficiently providing an advertisement video while not harming the real-time property and visibility for viewing a video. The method comprises: a step of generating an image frame imaged in real time into a first layer video and overlapping a second layer video generated by a video filter program on the first layer video to generate a live streaming video; and a step of updating the second layer video of the live streaming video to output at least one advertisement image corresponding to advertisement identification information at an advertisement output location based on streaming channel information to which the live streaming video is transmitted, advertisement output location information, and the advertisement identification information
[006] US11159835 discloses the devices and methods are provided for using shadow impressions to control storage and delivery of streaming video content. The device may receive a request, the request associated with determining a group of streaming video advertisements for streaming video at a device. The device may determine, based on the request, a first advertisement, wherein the first advertisement is associated with a first number of impressions, wherein the first number of impressions includes a first number of shadow impressions. The device may determine not to include the first advertisement in the group of streaming video advertisements based on the first number of impressions exceeding a first playback threshold. The device may send the group of streaming video advertisements.
[007] There is a pressing requirement for a system that not only improves the targeting of advertisements but also enhances the user experience by actively involving them in the advertising process by allowing users to earn a share of the ad revenue, the system would incentivize viewers to engage with advertisements actively, thus increasing ad effectiveness but also fostering a more positive and interactive viewing experience, aligning the interests of all stakeholders advertisers, platforms, creators, and viewers alike and bridging the gap between effective advertising and consumer satisfaction, leading to a more balanced and equitable digital media environment.

SUMMARY OF THE INVENTION

[008] The present invention the system and method of streaming of advertisement and distribution of the advertisement revenue to optimize the delivery of advertisements and content across various media formats between users, content creators, advertisers, and platform administrators through a dynamic revenue sharing model facilitated by several key components. The Users interact with the platform via web, mobile, wearable, and AR/VR applications, entering data such as personal preferences, which is used to tailor the content and advertisements they receive. Commercials Database stores all advertising content, including image, video, and playable ads, which advertisers update through various applications. Program Database contains all video programs, live streams, and Vlogs, which content creators update to keep the content fresh and engaging, AI-Driven Ad Controller analyzes user data to dynamically adjust ad placement within the content, ensuring maximum engagement and effectiveness. Server Database manages all backend operations, including revenue distribution models and maintenance of the overall platform infrastructure. The dynamically distributed revenue generated from ad conversions directly to stakeholders based on their contribution and interaction with the platform encourages all parties to actively participate in the enhancement of the platform's effectiveness and efficiency.
[009] In one embodiment, the present invention describes a digital advertising and content distribution platform that utilizes a User/Client Database (501), accessible via web, mobile, wearable, and AR/VR applications. This database collects detailed user information, such as personal preferences and engagement history, which is used to customize the advertising content that users receive, enhancing the relevance and effectiveness of targeted ads.
[010] In one embodiment, the present invention describes an AI-Driven Ad Controller (504) that dynamically integrates ads into video content based on real-time analysis of user data. This controller optimizes ad placement within streamed content from the Program Database (505), ensuring that ads are shown at moments likely to generate maximum user engagement and retention.
[011] In one embodiment, the present invention describes a Commercials Database (503) that stores and manages all forms of advertisements, including image, video, and playable ads wherein the advertisers can update and adjust their ad campaigns through this database, using various interfaces, to respond swiftly to market changes and user feedback.
[012] In one embodiment, the present invention describes a revenue-sharing model facilitated by the Server Database (502), which calculates and distributes revenue generated from ad conversions among users, content creators, and platform administrators. This model is designed to incentivize each party based on their contribution to the advertising process, ensuring fairness and transparency.
[013] In one embodiment, the present invention describes the use of dynamic revenue sharing factors (Uijk, 𝐶𝑖𝑗𝑘, 𝐴𝑖𝑗𝑘, 𝑆𝑖𝑗𝑘) that adjust the distribution of ad revenue among users, content creators, and administrators based on real-time engagement metrics and system maintenance needs. These factors ensure that all stakeholders are compensated fairly, promoting sustained contribution and participation in the platform.
[014] In one embodiment, the present invention describes a Program Database (505) where content creators upload various types of digital media, including video programs and live streams. This database supports real-time updates and integrates seamlessly with the AI-Driven Ad Controller to ensure that content remains engaging and is effectively monetized through integrated advertisements.
[015] In one embodiment, the present invention describes a method for rewarding users directly for their engagement with ads through a calculated share of ad revenue (Uijk × AdRevenueijk), promoting a user-centric advertising approach. This method not only increases user engagement but also enhances the perceived value of ads by the viewers.
[016] In one embodiment, the present invention describes the integration of advanced server and AI tool maintenance funded by allocated ad revenue (𝑆ijk × AdRevenueijk) ensuring the platform remains technologically robust and capable of handling sophisticated data processing and ad delivery tasks efficiently.
[017] In one embodiment, the present invention describes the continuous feedback from users about ads is collected to further refine ad targeting strategies and content recommendations. This feedback loop, supported by the Server Database, helps in maintaining a high level of user engagement and satisfaction, ensuring the platform's adaptability and long-term success.

OBJECTIVES

[018] It is an objective of the invention to enhance the personalization of advertisements by leveraging user profile data to target ads based on individual interests and preferences.
[019] It is another objective of the invention to implement a revenue-sharing model wherein viewers are compensated for their engagement with ads, providing a direct benefit from ad consumption.
[020] It is yet another objective of the invention to improve the efficiency of ad spending for advertisers by reducing waste through targeted ad placements and more accurate feedback on ad performance through real-time engagement metrics from viewers.
[021] It is yet another objective of the invention to decrease viewer irritation and ad fatigue and encourage content creators and platforms to optimize ad integration without disrupting the viewing experience, maintaining audience interest and satisfaction.

DRAWINGS

[022] Other characteristics, details and advantages of the invention can be inferred from the description of the invention hereunder. A more complete appreciation of the invention and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying figures, wherein:
[023] Figure 1 illustrates the user/client interaction system.
[024] Figure 2 illustrates the advertiser and ad agency interface, showing how advertisers access the system.
[025] Figure 3 illustrates the content creator/program production house interface while managing viewer engagement and revenue sharing.
[026] Figure 4 illustrates the administrative and platform management interface, where the admin/creator uses the Server Database.
[027] Figure 5 illustrates the overall process flow of the advertising system, showing how the AI-driven Ad Controller interacts with various databases to manage content delivery, ad placement, and revenue sharing among stakeholders.
[028] Figure 6 illustrates the Real-Time Ad Impact Tracker, which monitors user behavior and updates the database with information and enhance ad targeting and user experience.








DETAILED DESCRIPTION

[029] It must be noted that the figures disclose the invention in a detailed enough way to be implemented, said figures helping to better define the invention if needs be. The invention should however not be limited to the embodiment disclosed in the description.
[030] Throughout the specification and claims, the following terms take the meanings explicitly associated herein unless the context clearly dictates otherwise. The meaning of "a", "an", and "the" include plural references. The meaning of "in" includes "in" and "on." Additionally, a reference to the singular includes a reference to the plural unless otherwise stated or inconsistent with the disclosure herein.
[031] The present invention presents an advertising and content distribution system designed to optimize user engagement and equitable revenue distribution among all stakeholders involved wherein the User/Client Database is accessible via web, mobile, wearable, and AR/VR applications and collects user data including personal preferences, demographic information, and engagement history. The Commercials Database manages all forms of advertisements such as image ads, video ads, and playable ads. Advertisers access this database through a variety of platforms to update and manage their advertising campaigns. This database works in conjunction with the AI-Driven Ad Controller, which employs advanced algorithms to analyze user data from the User/Client Database and dynamically place ads within the content streamed from the Program Database hosting an array of content including video programs, live streams, and vlogs, updated regularly by content creators to ensure continual engagement. Further, the Server Database manages the details of the revenue-sharing model and oversees the maintenance of the platform's infrastructure ensuring that the revenue generated from ads is fairly distributed among users, content creators, and administrators based on predefined dynamic factors that reflect each party's contribution to the overall advertising process. Thus strategically placing the addvertisement to capture maximum user attention but are also designed to provide financial incentives to users and content creators.
[032] In one embodiment the present invention as shown in Figure 1 provides the user/client interaction within the advertising system through various application interfaces and the User/Client Database wherein the User/Client (101) connecting to the system via several types of applications: Web Application (102), Mobile Application (103), Wearable Application (104), and AR/VR Devices/Application (105). This multi-platform approach ensures that users can interact with the system through their preferred devices, enhancing accessibility and user experience. These applications serve as the communication link between the user and the User/Client DB (106), facilitating the seamless exchange of information. Within the User/Client Database (106), several key pieces of information are stored and managed. These include the User ID (107) and Password (108) for security and identification, as well as detailed profile elements such as Interests (109), History (110), Ads Preferences (111), and Preferred Time of Consumption (112). Additionally, the database records Payment Details (116) for transactions or rewards, Ad View Counter (115) to track engagement, and Achievements (113) to gamify the ad viewing experience. The User Tier Info (114) categorizes users based on their engagement level, which influences the type and frequency of ads served to them, as well as the revenue-sharing model approach helps in maintaining high user engagement rates and maximizing ad revenue opportunities, creating a win-win scenario for both advertisers and users.
[033] In one embodiment the present invention as shown in Figure 2 describes out the interaction between advertisers or ad agencies (201) and the Commercials Database (D/B) (206), highlighting the infrastructure that supports ad management and deployment across various platforms. This diagram effectively illustrates how advertising content is administered and placed to reach the target audience through a technologically diverse pathway wherein advertisers and ad agencies accessing the Commercials D/B through multiple digital avenues of Web Application (202), Mobile Application (203), Wearable Application (204), and AR/VR Devices/Application (205) for a versatile and extensive reach, accommodating the preferences and accessibility of different advertisers. These platforms serve as communication links that enable seamless interaction with the database, ensuring that advertisers can update and manage their campaigns efficiently. Within the Commercials Database, the advertisement management process comprises Image Ads (207), Video Ads (208), and Playable Ads (209) represent the types of content that can be uploaded and managed within the system. Each ad type caters to different user engagement strategies and campaign goals, providing a versatile toolkit for advertisers to engage their audience. Ad Bidding (211) allows advertisers to compete for premium ad placement, ensuring that the most relevant and highest bidding content reaches the audience while Ad Cost Parametrics (212) and Pricing Model (213) dictate the financial aspects of ad placements, which are crucial for budget management and ROI optimization. Additionally, the ability to define Frequency (210) and Target Audience (214) allows advertisers to fine-tune their campaigns based on user engagement and demographic data, enhancing the precision and effectiveness of ad targeting providing a responsive advertising environment that adapts to the needs of targeting, budgeting, and content management features, the platform empowers advertisers to create highly effective ad campaigns that are both user-centric and cost-effective. The structure not only facilitates the easy upload and management of ads but also ensures that these ads are as impactful and relevant as possible, maximizing engagement and the potential for conversion.
[034] In one embodiment the present invention as shown in Figure 3 describes the interface and workflow through which content creators and program production houses (301) interact with the Content Database (D/B) (306) fundamental in managing and distributing digital content such as video programs and live streams to the audience, aligned with an AI-driven system that enhances viewer engagement through smart content and ad integration wherein the content creators accessing the Content D/B via a diverse range of applications comprising Web Application (302), Mobile Application (303), Wearable Application (304), and AR/VR Devices/Application (305). These access points ensure that content creators can interact with the system seamlessly across multiple device types, enhancing the flexibility and reach of content management activities. This multi-platform approach allows content creators to upload, manage, and modify their content from virtually anywhere, fostering a dynamic and responsive content delivery ecosystem. Within the Content Database (306), several components are crucial for content management and monetization. Video Programs (307) and Live Streaming (308) represent the main types of content managed within the system, catering to a broad range of viewer preferences and ensuring a continuous supply of fresh and engaging material. Viewer Engagement Data (309) is collected to monitor how audiences interact with the content, which is instrumental for optimizing content strategies and improving viewer retention rates. The Revenue Sharing Model (310) integrated into the database ensures that revenue generated from content and embedded advertisements is appropriately distributed among content creators and other stakeholders, aligning incentives and promoting a sustainable content ecosystem thus showcasing the way content creators and production houses are integrated into the digital advertising and content delivery platform.
[035] In one embodiment the present invention as shown in Figure 4 provides a structured overview of the administrative interface and data architecture supporting the AI-driven Ad Controller system wherein the Admin/Creator (401), who plays a pivotal role in managing and overseeing the entire system's functionality. The Admin/Creator interacts with the system through a variety of applications, enabling robust and flexible access points which include a Web Application (402), Mobile Application (403), Wearable Application (404), and AR/VR Devices/Application (405). These interfaces ensure that the Admin/Creator can efficiently manage and monitor the system from virtually any device, enhancing operational flexibility and responsiveness. The Server Database (DB) (406) act as the repository for all critical data including the Revenue Sharing Model (407), Content Play Model (408), and Ad Play Model (409) allowing for meticulous control and alteration of core parameters that dictate how content and ads are delivered and monetized across the platform. Each model serves a distinct purpose as the Revenue Sharing Model outlines how ad revenue is distributed among stakeholders, the Content Play Model dictates the integration and display of content, and the Ad Play Model focuses on the deployment and performance tracking of advertisements. This segmentation ensures clarity and precision in handling the various aspects of the system's operations. The integration of these models within the Server DB is crucial for the sustainable management of the system. It allows the Admin/Creator to update and refine the models based on real-time data and evolving business needs, ensuring the platform remains competitive and effective. The Revenue Collected/Distributed Data (410) captures and analyzes the financial transactions and distributions, providing a transparent view of the economic interactions within the ecosystem. This data is essential for maintaining fair practices and ensuring all participants in the system, from content creators to advertisers, are compensated appropriately based on their contributions and audience engagement.
[036] In one embodiment the present invention as shown in Figure 5 describes the entire process flow of the AI-driven advertising system, orchestrating interactions between various databases and user roles to optimize content delivery and revenue generation through targeted advertising wherein the User Database (DB) (501) and the Server DB (502) serve as the central repositories for user information and system operations respectively. Users access their database via diverse platforms (web, mobile, wearable, AR/VR), updating their profiles with personal preferences and other relevant details, which informs the targeting mechanism of the ad system. The Server DB oversees the entire functionality of the system, holding crucial operational data and controlling the flow of information across the system. The AI-driven Ad Controller (504), interacts directly with the Commercials DB (503) and the Program DB (505). The Commercials DB houses all the advertisement content, including image ads, video ads, and playable ads, which are inputted by advertisers through their respective interfaces. These advertisements are then dynamically served based on user profiles and content engagement, which is managed by the AI-driven Ad Controller. The Program DB stores all the digital content such as TV shows, movies, and live streams that are made available to the user. The Controller selects appropriate ads to be displayed alongside this content, optimizing user engagement and ad effectiveness. The process culminates in the display of content (506) and advertisements (507), which leads to revenue generation (508) from engaged users. This revenue is then distributed (509) among the stakeholders involved, including users/consumers (510), content creators/broadcasters (511), and the admin/creator (512).
[037] In one embodiment the present invention as shown in the Figure 6 delves into the workings of the Real Time Ad Impact Tracker (601) which plays a critical role in enhancing the advertising system by closely monitoring user interactions and feedback regarding advertisements. The tracker interfaces with two main databases including the Commercials DB (602) which houses all the advertisement data, and the User/Client DB (603) which contains detailed profiles and historical data of the users. The Commercials DB (602) serves as the repository for all ad-related content that the platform uses to serve targeted ads to users. This includes tracking the likes and dislikes (604) of users regarding specific ads. This feedback is crucial as it influences future ad placements and optimizations, making the advertisements more engaging and relevant to the user's preferences. The User/Client DB (603) records detailed user data including user tier info (605) and achievements (606). These elements are essential for the AI-driven Ad Controller to decide on the quality and frequency of ads served to a specific user. High-tier users, or those who frequently engage with content and ads, can receive more premium ad content, which is likely to generate higher revenue. This incentivization encourages users to engage more actively with the ads they are shown, benefiting from better content and potentially earning rewards or points as outlined in the system's revenue sharing model.
[038] In one embodiment the present invention comprises the revenue sharing formula designed to allocate advertising revenue among various stakeholders based on their respective contributions and roles within a digital content distribution platform. The formula for calculating the total revenue generated from a specific advertisement shown to a particular user during the broadcast of content from a particular creator is given as follows AdRevenueijk = (Uijk × AdRevenueijk) + (𝐶𝑖𝑗𝑘 × AdRevenueijk) + (𝐴𝑖𝑗𝑘 × AdRevenueijk) + (𝑆𝑖𝑗𝑘 × AdRevenueijk) wherein each term in the formula represents a portion of the revenue distributed to different stakeholders, defined dynamically based on the ad's performance and predetermined sharing agreements. Uijk represent the User/Client Revenue Sharing Factor determining the portion of revenue allocated to the user (Userk) who views the ad (Adi) during the content (CCreatorj). It is a dynamic value adjusted according to user engagement and interaction with the ad, rewarding users for their participation and influence in the advertising success. The 𝐶𝑖𝑗𝑘 represents Content Creator Revenue Sharing Factor defining the revenue share for the content creators or production houses (Cj) based on the performance of ad (Adi) during their program or stream viewed by the user (Userk). This incentivizes creators to maintain engaging content that supports effective ad placements. The 𝐴𝑖𝑗𝑘 is the Admin/Platform Revenue Sharing Factor representing the portion of the revenue is retained by the platform's administrators or creators, reflecting their role in managing and facilitating the ad delivery and content distribution system. The 𝑆𝑖𝑗𝑘 represents System Maintenance Revenue Sharing Factor accounting for the costs associated with maintaining the server infrastructure and AI-driven ad controller that supports the broadcasting and ad display operations. The multiplication of each factor by the total ad revenue (AdRevenueijk ) generates the actual dollar amount each party receives. These calculated revenues lead to further aggregated totals, which provide a comprehensive view of revenue distribution across different levels wherein the User Revenue (UserRevenuek) represents the cumulative revenue shared with a specific user over a defined period, across various ads and content pieces, showing the user's direct financial benefit from engaging with ads, Creator Revenue (CreatorRevenuej) represents the total revenue accrued to content creators over a period, emphasizing the economic benefits of producing appealing content that effectively integrates advertisements. Admin Revenue and Maintenance Charges reflect the revenue retained by the platform administrators for operational costs and system maintenance, ensuring the platform's sustainability and efficiency.
[039] In one embodiment the present invention comprises the formula for AdRevenueijk capturing how revenue generated from a particular advertisement (Adi) is distributed among various stakeholders when it is viewed by a particular user (UserRevenuek) during content (CreatorRevenuej) broadcast. This formula not only quantifies the financial outcome of an ad display but also delineates the sharing of this revenue to ensure each contributing party receives a fair portion reflective of their contribution and stake in the process. The formula AdRevenueijk = (Uijk × AdRevenueijk) + (𝐶𝑖𝑗𝑘 × AdRevenueijk) + (𝐴𝑖𝑗𝑘 × AdRevenueijk) + (𝑆𝑖𝑗𝑘 × AdRevenueijk) dynamically allocates ad revenue based on predefined factors. Uijk represents the share of the ad revenue allocated to the user (Userk). This share acknowledges the user's role in engaging with the ad, thereby recognizing the user not just as a passive viewer but as an active participant whose interaction directly affects the effectiveness of the ad. 𝐶𝑖𝑗𝑘 determines the portion of the revenue that goes to the content creator (CCreatorj), whose content provided the platform for the ad. It underlines the value of quality content that attracts and retains viewers, thereby creating opportunities for ad placements. 𝐴𝑖𝑗𝑘 represents the share of the revenue is retained by the platform's administrators or the system's owner, reflecting their role in maintaining and managing the infrastructure that enables ad delivery and content broadcasting. 𝑆𝑖𝑗𝑘 is the final portion is allocated towards the operational costs associated with maintaining the server and the AI-driven ad controller.
[040] In one embodiment the parameter Uijk within the revenue sharing model is a dynamic factor that represents the portion of revenue from a specific advertisement (Adi) allocated to a particular user (Userk) during the viewing of content produced by a specific content creator (CCreatorj). This component of the revenue sharing formula is crucial as it directly incentivizes user engagement with advertisements, acknowledging the integral role users play in the success of advertising campaigns. The value of Uijk is determined dynamically, which means it can change based on various factors such as the user's engagement level, the nature of the interaction with the advertisement, and possibly the user's historical interaction with similar ads. For instance, if a user frequently interacts with ads by clicking or watching them fully, Uijk might increase to reflect the high value this user brings to advertisers. Conversely, if a user typically ignores ads, the value might be lower. The range of Uijk, set between 0 and 1 (where 0 ≤ Uijk < 1), ensures that while the user receives a portion of the revenue, they do not receive the entirety, preserving shares for other stakeholders such as content creators and the platform administrators. The upper limit of less than 1 guarantees that there is always a fraction of the revenue allocated to other parties involved in the process, maintaining a balanced distribution system that supports the ecosystem's sustainability. This dynamic adjustment of Uijk not only makes the revenue model responsive and fair but also promotes active participation from users. Knowing that their interactions with ads increase their share of the revenue might encourage more consistent and meaningful engagement with the content. Moreover, this system allows advertisers to see a direct correlation between the effectiveness of their ads and the engagement they receive, potentially leading to better and more user-focused ad content. Thus, Uijk is pivotal in creating a user-centric advertising model that rewards engagement and supports the economic goals of all stakeholders within the digital content and advertising ecosystem.
[041] In one embodiment the revenue sharing factor 𝐶𝑖𝑗𝑘 is a dynamically defined element within the revenue distribution formula that specifically allocates a portion of the ad revenue generated by a particular advertisement (Adi) to the content creator (CCreatorj) whose program or live stream facilitated the ad exposure to the user (Userk). This factor underscores the symbiotic relationship between the content provided by creators and the ads that are embedded or displayed alongside this content. It recognizes and financially rewards content creators for their role in creating an engaging viewer environment conducive to successful ad placements. The value of 𝐶𝑖𝑗𝑘 is dynamically adjusted based on various performance indicators which may include the viewership numbers of the content, the engagement rates such as time spent viewing, and the direct interactions with the ads that occur during the content's broadcast. By tying the revenue share to these metrics, the system ensures that content creators are motivated to produce high-quality, engaging content that not only attracts and retains a large audience but also supports effective advertising. This dynamic approach allows for the compensation of creators to reflect the actual value they bring to the advertising process, encouraging a higher standard of content production. The range for 𝐶𝑖𝑗𝑘, set between 0 and just below 1 (0 ≤ 𝐶𝑖𝑗𝑘 < 1), ensures that while content creators receive a fair share of the revenue generated, there is also a retention of a portion of the revenue for distribution among other stakeholders in the ecosystem, including the user and the platform administrators. The cap below 1 is crucial to maintaining a balance where content creators are rewarded for their contribution without monopolizing the revenue, thereby supporting a sustainable business model where all participants receive appropriate compensation for their contributions. In sum, 𝐶𝑖𝑗𝑘 serves not only as a financial incentive for content creators but also as a mechanism to enhance the overall quality of the digital content landscape.
[042] In one embodiment the revenue sharing factor 𝐴𝑖𝑗𝑘 plays a crucial role within the framework of the proposed advertising and content distribution system. This factor determines the proportion of the ad revenue generated from a specific advertisement (Adi) that is allocated to the platform's administrators or creators (Admin). It captures the value contributed by the platform's operational and strategic frameworks which enable the broadcasting of video programs or live streams from content creators (CCreatorj) and the delivery of targeted advertisements to users (Userk). 𝐴𝑖𝑗𝑘 is dynamically adjusted, reflecting the admin's role in not just hosting and distributing content but also in maintaining the infrastructure that supports the precise targeting and seamless delivery of advertisements. The dynamics of this factor might be influenced by various criteria, including the overall viewership metrics, the efficiency of the ad delivery system, and the technical support provided for uninterrupted streaming services. By directly tying this revenue share to performance indicators, the system ensures that the administrators are incentivized to continually optimize and enhance the platform's capabilities, leading to an improved user experience and more effective ad placements. The range for 𝐴, set between 0 and less than 1 (0 ≤ 𝐴𝑖𝑗𝑘 < 1), ensures that while the administrators or creators receive a justified share of the generated ad revenue, they do not monopolize the profits. This cap ensures that sufficient revenue is also distributed among other stakeholders, including the actual content creators and the users, fostering a balanced and sustainable ecosystem where the incentives of all parties are aligned. The upper limit being less than 1 is critical in maintaining a system where collaboration and fair distribution are key to mutual success, encouraging ongoing investment in system improvements and innovations that benefit all users and contributors. In essence, 𝐴𝑖𝑗𝑘 reflects a comprehensive understanding of the contributions made by the platform's administrators towards facilitating a conducive environment for both advertisers and content creators. This factor not only recognizes the operational roles but also underscores the importance of continuous system enhancements and user experience optimizations that drive the platform's overall success and attractiveness to all parties involved.
[043] In one embodiment the revenue sharing factor 𝑆𝑖𝑗𝑘 is a critical component of the financial model within the proposed digital advertising and content distribution system, directly addressing the operational costs associated with the technical infrastructure. This factor allocates a portion of the revenue generated from a specific advertisement (Adi) towards the maintenance and support of the server and the AI-driven Ad Controller that facilitate the broadcasting of video programs or live streams by content creators (CCreatorj) to users (Userk). The dynamic nature of 𝑆𝑖𝑗𝑘 allows for real-time adjustments based on the specific demands and costs associated with maintaining robust server operations and sophisticated AI functionalities. These systems are essential for ensuring high-quality, uninterrupted content delivery and effective ad targeting, which are fundamental to user satisfaction and advertising efficacy. The variability of 𝑆𝑖𝑗𝑘 ensures that funding for infrastructure maintenance is scaled in response to actual usage and wear, which helps maintain an optimal balance between operational costs and system performance. The range set for 𝑆𝑖𝑗𝑘, from 0 to less than 1 (0 ≤ 𝑆𝑖𝑗𝑘 <1), ensures that while a necessary portion of the ad revenue is allocated to technical upkeep, it does not overshadow the revenue shares of other stakeholders such as users, content creators, and platform administrators. The upper limit being less than 1 is strategically important to prevent the diversion of excessive funds away from content and user incentives, thereby maintaining a healthy ecosystem where investment in infrastructure supports, rather than dominates, the platform's economics. In sum, 𝑆𝑖𝑗𝑘 underscores the importance of sustaining a high-performance technical backbone for the platform, which supports all other functions from content delivery to ad presentation. It acknowledges that continuous investment in technology not only enhances the platform's operational efficiency but also contributes to the overall attractiveness and competitiveness of the system.
[044] In one embodiment the term Uijk × AdRevenueijk represents the specific amount of ad revenue shared with a user or client (Userk ) from an advertisement (Adi) during the broadcast of video programs or live streams by a content creator (CCreatorj). This formula encapsulates a novel approach to digital advertising, where users are not merely passive recipients of content and ads but are active, rewarded participants in the advertising ecosystem. The factor Uijk is a dynamically adjusted coefficient that reflects the extent to which a user's interaction contributes to the success of an advertisement. It could be influenced by several factors such as the user's engagement with the ad-whether they watched it completely, interacted with it, or clicked on it. The adjustment of this factor is based on real-time data analytics that measure how effectively the ad resonates with the user, thereby assigning a more personalized and fair share of revenue to the user. This dynamic adjustment ensures that users are motivated to pay attention and engage with the ads, knowing that their interactions directly impact the financial rewards they receive. The multiplication of Uijk by AdRevenueijk quantifies the user's share in monetary terms. This amount represents a direct transfer of value from the advertisers to the users, aligning the interests of the users with the goals of the advertisers and the platform. By financially incentivizing users to watch and interact with ads, the system not only increases ad effectiveness but also enhances user satisfaction and loyalty. Users who feel rewarded for their engagement are more likely to view advertising as a beneficial aspect of their content consumption experience rather than as an interruption.
[045] In one embodiment the term 𝐶𝑖𝑗𝑘 × AdRevenueijk within the revenue sharing model signifies the amount of advertising revenue allocated to content creators or program production houses (Cj) from the successful display and interaction with an advertisement (Adi) during the content consumed by a user or client (Userk). This allocation method directly links the revenue earned by content creators to the effectiveness of the ads that are integrated into their video programs or live streams, thereby aligning the interests of content producers with the advertisers and enhancing the overall synergy within the platform. The factor 𝐶𝑖𝑗𝑘 is a dynamically calculated coefficient that adjusts based on the level of engagement that the content manages to elicit from its viewers, particularly in relation to the advertisements embedded within or displayed alongside the content. The degree to which content can retain viewer attention and foster interaction with the advertisements directly impacts this coefficient. Factors influencing 𝐶𝑖𝑗𝑘 may include viewer retention rates, the relevance of the content to the audience leading to higher engagement, and the seamless integration of ads that do not disrupt the viewing experience but instead complement the content. The product of 𝐶𝑖𝑗𝑘 and AdRevenueijk determines the actual revenue passed on to the content creators, providing them with direct compensation for their role in the advertising process. This method of revenue sharing motivates content creators to design and structure their content in ways that not only attract and retain viewers but also enhance the viewers' receptivity to advertisements. By incentivizing content creators in this manner, the system ensures that both content quality and advertising efficacy are maintained at high standards, driving up the overall value of the platform for all stakeholders involved.
[046] In one embodiment the term 𝐴𝑖𝑗𝑘 × AdRevenueijk in the revenue sharing model describes the proportion of ad revenue that is retained by the platform's administrators or creators (Admin) from the successful display of an advertisement (Adi) during content viewed by a user (Userk) that was created by a content producer (CCreatorj). This financial mechanism highlights the administrative role's critical involvement in facilitating and managing the overall advertising process within the platform, recognizing their contribution through direct revenue participation. The factor 𝐴𝑖𝑗𝑘 dynamically reflects the administrative contribution toward maintaining and enhancing the platform that hosts the advertisements and content. This involves not only the technical support for the server and the AI-driven ad controller but also encompasses the strategic oversight, marketing, legal compliance, and customer support that are essential for running an advanced digital advertising platform. The dynamic nature of 𝐴𝑖𝑗𝑘 means that it can be adjusted based on factors such as overall ad performance across the platform, the efficiency of ad delivery systems, and the success rates of ad conversions which are indicative of the platform's operational effectiveness. The calculation 𝐴𝑖𝑗𝑘 × AdRevenueijk quantifies the revenue attributed to the administrators, underlining their vested interest in ensuring the platform is conducive for both advertisers to reach their target audience effectively and for content creators to generate engaging media. This financial incentive encourages the administrators to continuously innovate and improve the platform's capabilities, which directly impacts the user experience and the attractiveness of the platform for further ad placements and content development.
[047] In one embodiment the revenue-sharing component 𝑆ijk × AdRevenueijk crucially delineates the portion of advertising revenue allocated specifically for the maintenance and continual enhancement of the server infrastructure and the AI-driven tools that power the advertising and content delivery systems on the platform. This allocation underscores the indispensable role of robust technical support and innovative technologies in facilitating the seamless delivery of both content and advertisements, essential for the platform's overall efficacy and user satisfaction. The 𝑆 factor dynamically adjusts based on the operational demands and technological advancements necessary to keep the server and AI tools running at optimal efficiency. These tools are not only fundamental in managing data flow and user interactions but also in analyzing vast amounts of engagement data to optimize ad targeting and content recommendations. The dynamic adjustment of 𝑆𝑖𝑗𝑘 allows for flexible allocation of funds that can respond to varying degrees of technological wear and tear, updates required by new software capabilities, or scaling operations to accommodate increasing user traffic and data processing needs. The calculated product, 𝑆ijk × AdRevenueijk represents the actual financial investment funneled back into the technological backbone of the platform. This reinvestment is critical for ensuring that the platform remains on the cutting edge of digital advertising technology, which includes maintaining high-speed server capabilities, data security measures, and the sophisticated algorithms of the AI ad controller. By earmarking this specific portion of the ad revenue for technological upkeep and advancement, the platform ensures sustained high performance, reliability, and scalability. It supports a proactive approach to system maintenance and innovation, ensuring that the platform can handle the ever-evolving demands of digital content delivery and advertising, ultimately enhancing the overall user experience and the effectiveness of the ad placements. In essence, the allocation of 𝑆ijk × AdRevenueijk serves as a vital financial strategy for securing the long-term functionality and competitiveness of the platform. It acknowledges that continuous investment in technology not only supports the day-to-day operations but also drives the platform's capacity to grow, adapt, and thrive in a rapidly changing digital landscape.
[048] In one embodiment the formula for calculating the total revenue shared with a particular user (Userk) over a defined period captures the comprehensive benefit that the user derives from engaging with advertisements across various content broadcasts. This formula, UserRevenuek = ∑pj=1∑ni=1(Uijk × AdRevenueijk), aggregates the revenue shares from multiple ads (Adi) displayed during multiple content streams or broadcasts (CCreatorj) that the user engages with. This model not only personalizes the ad experience but also quantifies the financial rewards accruing to the user, thereby incentivizing active engagement. In this formula, Uijk represents the dynamic revenue sharing factor for each user per ad, per content item, reflecting how user interactions with specific ads during particular programs contribute to the ad's success. This factor adjusts based on the user's interaction level-such as clicks, views, and overall engagement with the ad-thus directly linking the user's activity to their earnings. AdRevenueijk is the total revenue generated from each ad, with the user's share being calculated by multiplying this with Uijk. The summation across all ads (n) and all content items or broadcasts (p) ensures that every instance of user engagement is accounted for, providing a comprehensive view of their total earnings from ad interactions over the period. This approach fosters a user-centric advertising environment where users are seen as active contributors to the advertising process. By monetarily rewarding users based on their direct engagement with ads, the platform not only enhances user experience but also boosts the effectiveness of the ads themselves. Users who are aware that their interactions influence their earnings are likely to pay more attention to the ads, leading to higher interaction rates and potentially more valuable feedback for advertisers. Ultimately, the calculation of Userk serves multiple strategic purposes: it incentivizes users to engage more deeply with content and ads, it provides a transparent mechanism for users to understand how their interactions translate into earnings, and it helps the platform maintain a dynamic balance between user satisfaction and advertising efficacy. This financial incentive is crucial in building a sustainable model where users are treated as essential stakeholders in the advertising ecosystem, whose participation is crucial for the success of the platform's business model.
[049] In one embodiment the formula CreatorRevenuej = ∑mk=1∑ni=1 (𝐶𝑖𝑗𝑘 × AdRevenueijk) strategically quantifies the total revenue accrued to a specific content creator or production house (Cj) over a defined period, based on the cumulative success of advertisements (Adi) displayed during their video programs or live streams viewed by different users (Userk). This formula reflects the collaborative nature of digital advertising, where content creators are rewarded not just for the content itself but also for their role in facilitating effective advertising platforms that resonate well with the audience. The variable 𝐶𝑖𝑗𝑘 within the formula denotes the revenue sharing factor assigned to each content creator for each ad displayed, adjusted dynamically according to the ad's performance and its integration with the content. This factor takes into account various metrics such as the relevance of the ad with the content, the engagement rates of the audience during ad playback, and the overall contribution of the content environment to the ad's success. AdRevenueijk represents the total revenue generated from each advertisement, and by multiplying these two factors, the formula calculates the portion of revenue attributable to the content creator from each ad, based on the unique contribution of their content to the ad's performance. Summing up these products over all ads (n) and all users (m) who have viewed these ads ensures that every interaction and its resultant revenue contribution is captured. This comprehensive aggregation highlights the broad impact of content creators in driving ad revenue and underscores their integral role in the advertising ecosystem. By directly linking a portion of ad revenue to the performance metrics of content engagement, this model incentivizes content creators to not only produce high-quality, engaging content but also to think strategically about how ads can be seamlessly integrated to enhance viewer experience without interrupting the narrative flow. This revenue-sharing model fosters a mutually beneficial relationship between advertisers and content creators. It encourages production houses to maintain a high standard of content that attracts and retains a dedicated audience while also supporting effective advertising.
[050] In one embodiment the formula for calculating the total revenue retained by the platform's administrators or creators, AdminRevenue, encapsulates how revenue is centralized from the distribution of advertisements across a variety of content and a diverse user base. Specifically, AdminRevenue = ∑pj=1∑mk=1∑ni=1 (A𝑖𝑗𝑘 × AdRevenueijk) aggregates the earnings from each ad (Adi), displayed during the content produced by various creators (CCreatorj), and interacted with by different users (Userk). This revenue is reflective of the administrative and operational efforts that underpin the platform's functionality. The 𝐴𝑖𝑗𝑘 factor within this formula represents the share of each ad's revenue that is attributed to the platform's administrators, adjusted dynamically based on several factors such as the efficiency of the ad delivery system, the platform's capacity to engage users effectively, and the overall management of content streams. This ensures that the administrators are financially compensated for their role in maintaining a high-performance environment that facilitates seamless content delivery and effective ad integration. AdRevenueijk is the total revenue generated from specific ad placements, reflecting the economic output of the platform's advertising operations. Summing these values across all advertisements (n), all users (m), and all content streams (p) ensures a comprehensive calculation that captures every instance of revenue generation where the administrators had an influence. This broad aggregation underscores the scale of the platform's operations and the extensive role that the administrators play in ensuring the system's overall profitability and sustainability. It reflects a direct correlation between the platform's administrative governance and the financial outcomes of its advertising strategy.
[051] In one embodiment the formula for Maintenance Charges = ∑pj=1∑mk=1∑ni=1 (𝑆𝑖𝑗𝑘× AdRevenueijk) quantifies the total revenue that is earmarked specifically for the upkeep and enhancement of critical infrastructure, including server capabilities and AI-driven advertising tools. This calculated amount represents a dedicated fund that is necessary for the technological stewardship and operational excellence of the platform, supporting the broadcasting of video programs or live streams by content creators (CCreatorj) to a diverse audience base (Userk) across a range of advertised products (Adi). The component 𝑆𝑖𝑗𝑘 within this formula is a dynamically adjusted factor that allocates a portion of each ad's revenue toward the technical maintenance and enhancement of the platform. This includes routine server maintenance, upgrades to hardware and software to handle increasing loads and data demands, and the development or enhancement of AI algorithms that drive ad placement and user engagement strategies. By linking this factor to ad revenue, the platform ensures that the maintenance budget scales with its operational and advertising success, maintaining system health proportionate to its growth and the strain placed upon it by increased activity. The comprehensive nature of this formula, aggregating contributions from all ads, all users, and all content sessions, underscores the all-encompassing approach to maintenance funding. It ensures that no part of the platform's infrastructure is neglected and that funds are available to address needs as they arise, whether they be sudden issues requiring immediate attention or long-term projects aimed at future-proofing the system against evolving technological requirements. This revenue allocation strategy is crucial for the sustainability of the platform. It guarantees that the infrastructure supporting the platform's core functionalities-content delivery, ad serving, user interaction-is robust and capable of supporting current and future demands.
[052] In one embodiment the present invention describes the process comprising diverse array of user interface options, including web, mobile, wearable, and AR/VR applications. The inclusion of various technological platforms ensures that users can access and interact with the system using the device that best fits their lifestyle and preferences, thereby enhancing user engagement and accessibility wherein upon signing up, users enter personal details such as their name, which serves as basic identification within the system. More importantly, they provide information about their advertising preferences and interests, as well as the types of products they are likely to purchase. This data is crucial as it directly influences the kinds of ads that the AI-driven system will display to the user. By understanding the user's preferences and purchasing intentions, the system can tailor the advertising content to be more relevant and appealing, thereby increasing the chances of ad interaction and conversion. Additionally, users specify their preferred times for ad consumption. This information allows the system to schedule ads at times when users are most likely to be receptive, thereby maximizing viewer attention and engagement. Users also input payment details which are used to handle transactions related to revenue earned from interacting with ads. This aspect of the system underscores its user-centric approach by not only personalizing the ad experience but also rewarding users for their engagement.
[053] In one embodiment the present invention describes the process comprising advertisers and ad agencies continually updating and managing their advertising content through an advanced, technology-driven interface. This is facilitated by the access they have to the Commercials Database (D/B) via a variety of platforms, including web, mobile, wearable, and AR/VR applications. These diverse access points ensure that advertisers can manage their campaigns efficiently, regardless of their location or the device they are using, enhancing the flexibility and responsiveness of advertising strategies. Upon accessing the Commercials D/B, advertisers and agencies have the ability to upload different types of advertisements, including image ads, video ads, and playable ads. Each type of ad caters to different viewer preferences and engagement strategies, thereby broadening the scope for creative advertising and allowing brands to tailor their messages in various interactive formats. This diversity in ad formats helps to capture the attention of a broader audience and enhances the engagement rates by appealing to different sensory preferences and interaction styles of the user base. Moreover, the participation of advertisers in an auction system for ad placements introduces a competitive and dynamic element to the ad serving process. Advertisers bid for prime advertising slots within the content streams, and this process is governed by metrics such as Cost per Mile (CPM) and Cost Per Click (CPC). These metrics are crucial as they help determine the financial viability and potential return on investment for each ad placement. By bidding on these metrics, advertisers can strategically place their ads in segments that align closely with their target audience's interests, age group, and demographics, thereby maximizing the effectiveness of their advertising spend. The system's ability to dynamically update these bidding details based on real-time data ensures that advertisers can adapt to changing viewer behaviors and market conditions, maintaining the relevance and efficiency of their ad campaigns. This sophisticated interaction between advertisers and the digital advertising platform serves to optimize ad placement, enhance viewer engagement, and ultimately, drive higher conversion rates.
[054] In one embodiment the present invention describes the process comprising the Content creators and program production houses distribute their content and also integrate and optimize advertising within that content. Access to the Commercials Database (D/B) through a variety of platforms such as web, mobile, wearable, and AR/VR applications ensures that content creators can conveniently and efficiently manage their content and associated advertising from any location and on any device. This flexibility is essential in today's fast-paced media environment where timely content updates and responsiveness to audience preferences can significantly impact viewer engagement and content success. Upon accessing the Commercials D/B, content creators and production houses have the ability to upload a wide range of digital content types, including video programs, live streams, and vlog videos. This variety allows them to cater to diverse audience tastes and consumption habits, enhancing the reach and impact of their content. For instance, video programs might appeal to viewers looking for in-depth entertainment or educational content, live streams can attract real-time interaction from audiences during events or performances, and vlogs offer a more personal and direct form of communication with viewers. Each content type offers unique opportunities for embedding advertisements in a manner that feels natural and engaging to viewers. The integration of this content into the Commercials D/B not only streamlines the management and distribution of digital media but also facilitates the strategic placement of advertisements by aligning ad spots with the most appropriate and contextually relevant content. This alignment is crucial for maintaining viewer engagement during ad breaks and maximizing the effectiveness of advertisements by placing them within content that shares similar themes or audience demographics. Moreover, by updating the D/B, content creators can continually refine their content offerings based on viewer feedback and engagement data, ensuring that their content remains dynamic and responsive to audience needs. This continuous updating and optimization process is vital for sustaining viewer interest and engagement in a competitive digital landscape, where content preferences can shift rapidly.
[055] In one embodiment the present invention describes the process further comprising AI-driven Ad Controller activates user or client login to the network, marking a significant point of interaction within the digital content delivery system. The AI-driven Ad Controller operates by analyzing the comprehensive user profile data stored in the User/Client Database. This data includes detailed information about user preferences, past behaviors, and interaction patterns with previous content and advertisements. By leveraging machine learning algorithms and data analytics, the Ad Controller synthesizes this information to understand and predict what types of programs or live streams each user might find most appealing. This approach ensures that every user is presented with content that is not only of interest but also timed to fit their viewing habits, thereby maximizing engagement and satisfaction. The term "waterfall of programs/live streams" suggests a continuous, flowing presentation of content options tailored to the user's stated and inferred preferences, much like a curated stream that seamlessly aligns with their tastes. This system's capability to dynamically adjust the content feed in real-time is a key benefit, allowing the network to respond instantly to changes in user behavior or shifts in interest. For example, if a user starts watching more of a certain type of show or genre, the AI system can immediately begin to suggest similar content, keeping the user engaged and improving the overall viewing experience. This responsive content curation not only enhances user satisfaction but also increases the potential for higher advertisement engagement and revenue generation, making the platform highly effective for advertisers and content providers alike. Once a user selects a video program or live stream from the personalized content offerings curated by the AI-driven Ad Controller, the selected content is immediately played. This seamless transition from selection to viewing plays a critical role in maintaining user engagement and satisfaction. The immediacy of the playback ensures that the momentum of user interest is capitalized on without any delay, which is crucial for retaining the attention of the modern digital audience accustomed to instant gratification. The selection process itself, influenced by the AI's algorithms, ensures that the content displayed to the user is already highly tailored to their interests. This not only enhances the likelihood of user engagement with the content but also with the advertisements integrated into or placed alongside the video programs or live streams. By matching the content with user preferences, the system maximizes the relevance of both the content and the ads, thereby creating a more cohesive and engaging viewing experience that can lead to higher ad conversion rates and increased viewer retention. Furthermore, the playback of selected content involves sophisticated backend operations which ensure the streaming quality is optimized for the user's current internet speed and device capabilities.
[056] In one embodiment the present invention describes the process of placement of advertisements within the streaming content managed by an AI-driven Ad Controller determines the most effective moments to introduce advertisements to the viewer, doing so at predefined intervals that are optimized to maximize viewer engagement and minimize disruption. This strategic placement is crucial, as it balances the necessity of ad monetization with the importance of maintaining a positive user experience wherein the AI-driven Ad Controller leverages a sophisticated algorithm to analyze viewer engagement metrics-such as viewing duration, interaction rates, and historical preference patterns-to identify the optimal times for displaying ads. These intervals are not arbitrary but are instead calculated to align with natural breaks in the content or at moments when viewer attention is predicted to be most receptive to advertisements. For instance, transitioning to an ad break right after a cliffhanger moment in a video program can capture the heightened attention of the audience effectively, thereby increasing the likelihood of ad engagement. Furthermore, the system's ability to adapt these intervals in real-time based on ongoing viewer feedback and engagement data adds a layer of dynamism to the advertising strategy. If the AI system detects changes in viewer behavior or dips in engagement, it can adjust the ad timings accordingly to better suit the audience's preferences. This adaptive approach not only helps in maintaining viewer interest throughout the session but also supports higher ad effectiveness, ultimately enhancing the revenue potential of the advertising slots.
[057] Various additional modifications of this invention may occur to those skilled in the art. All deviations from the specific teachings of the several embodiments of this specification that basically rely on the principles and their equivalents through which the art has been advanced are properly considered within the scope and ambit of the invention as described and claimed.
[058] As discussed in more detail above, using the above embodiments, with little or no modification and/or input, there is considerable flexibility, adaptability, and opportunity for customization to meet the specific needs of various parties under numerous circumstances.
[059] The present invention has been described in particular detail with respect to specific possible embodiments. Those of skill in the art will appreciate that the invention may be practiced in other embodiments. For example, the nomenclature used for components, capitalization of component designations and terms, the attributes, is not significant, mandatory, or limiting, and the mechanisms that implement the invention or its features can have various different names, formats, or protocols. Also, particular divisions of functionality between the various components described herein are merely exemplary, and not mandatory or significant. Consequently, functions performed by a single component may, in other embodiments, be performed by multiple components, and functions performed by multiple components may, in other embodiments, be performed by a single component.
[060] It should also be noted that the language used in the specification has been principally selected for readability, clarity, and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, the disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the claims below.
[061] In addition, the parts shown in the figures, or as discussed herein, are identified using a particular nomenclature for ease of description and understanding, but other nomenclature is often used in the art to identify equivalent operations.
[062] Therefore, numerous variations, whether explicitly provided for by the specification or implied by the specification or not, may be implemented by one of skill in the art in view of this disclosure.
, Claims:We Claim,
1. An advertisement streaming and revenue distribution system comprising:
 a User/Client Database (501) configured to store user-specific data accessed via web, mobile, wearable, and AR/VR applications;
 a Commercials Database (503) for storing and managing various forms of advertisements including image ads, video ads, and playable ads;
 a Program Database (505) configured to host and manage digital media content such as video programs and live streams;
 an AI-Driven Ad Controller (504) programmed to analyze user data from the User/Client Database and dynamically integrate advertisements from the Commercials Database into content from the Program Database based on the analysis;
 a Server Database (502) configured to manage a revenue-sharing model that distributes ad revenue generated from user interactions with advertisements among users, content creators, and platform administrators.
2. The system of claim 1, wherein the User/Client Database further comprises real time ad impact tracker (601) input feedback on advertisements, which is used by the AI-Driven Ad Controller to further tailor future advertisement integrations.
3. The system of claim 2, wherein the real time ad impact tracker further comprises Likes/Dislikes unit (604) in the commercial database (503) for tracking the user likes and dislikes.
4. The system of claim 2, wherein the real time ad impact tracker further comprises user tier info (605) for categorization of the frequent interacting users and achievement (606) for storing the revenue generated by the interacting users stored in user/client database (501).
5. A method of advertisements streaming and revenue distribution comprising:
 collecting user data regarding ad preferences and engagement history from a User/Client Database (501);
 storing advertisements in a Commercials Database (503);
 selecting advertisements from the Commercials Database (503) based on the collected user data;
 integrating the selected advertisements into video content from a Program Database (505);
 displaying of dynamic ads (507);
 calculating the revenue generated (508) from the advertisements and distributing the revenue (509) among users, content creators, and administrators based on predefined revenue-sharing factors.
6. The method of claim 5, wherein analyzing user interaction data includes tracking user clicks, views, and duration of engagement with previous advertisements.
7. The method of claim 5, wherein distributing the revenue (509) further comprising the distributing the revenue to the broadcaster/content creator (511).
8. The method of claim 5, wherein distributing the revenue (509) further comprising the distributing the revenue to the user/consumer (510).
9. The method of claim 5, wherein distributing the revenue (509) further comprising the distributing the revenue to the admin/creator (512).
10. The method of claim 5, further comprising updating the revenue-sharing factors in real-time based on changes in advertisement performance and user engagement metrics.
11. The method of claim 5, wherein displaying of ads (507) further comprises the step of dynamically embedding advertisements includes adjusting advertisement playback volume to match the audio settings of the ongoing content stream.
12. The method of claim 5, wherein feedback collected from users regarding advertisement relevance and enjoyment is used to refine future advertisement selections and integrations.
13. The method of claim 5, wherein calculating the revenue (508) further comprises method of user revenue allocation further comprising Receiving a total advertisement revenue generated from the display of the advertisement to the user during the broadcast by the content creator; Multiplying the total advertisement revenue by a user revenue sharing factor, wherein the user revenue sharing factor is dynamically defined for the conversion of the advertisement with the particular user during the broadcast; and allocating the calculated revenue to the user.
14. The method of claim 5, wherein calculating the revenue (508) further comprises the method of content creator revenue distribution further comprises receiving a total advertisement revenue generated from the display of the advertisement during the broadcast by the content creator to the user; Multiplying the total advertisement revenue by a content creator revenue sharing factor, wherein the content creator revenue sharing factor is dynamically defined for the conversion of the advertisement during the broadcast to the particular user; and allocating the calculated revenue to the content creator.
15. The method of claim 5, wherein calculating the revenue (508) comprises the method of retaining Ad revenue by Admin further comprises receiving a total advertisement revenue generated from the display of the advertisement during the broadcast by the content creator to the user; Multiplying the total advertisement revenue by an admin revenue sharing factor, wherein the admin/creator revenue sharing factor is dynamically defined for the conversion of the advertisement with the admin/creator during the broadcast; and Retaining the calculated revenue by the admin.
16. The method of claim 5, wherein calculating the revenue (508) comprises allocating advertisement revenue for maintenance purposes further comprising Receiving a total advertisement revenue generated from the display of the advertisement during the broadcast by the content creator to the user; Multiplying the total advertisement revenue by a maintenance revenue sharing factor, wherein the maintenance revenue sharing factor is dynamically defined for the conversion of the advertisement for maintenance of server and AI-driven ad controllers during the broadcast; and allocating the calculated revenue for maintenance purposes.

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