System and method for improved marketing compensation by recognition of natural promotion elements in media content
View Patent ↗A system and method that provides a process of calculating marketing compensation based on the recognition of consumer consumption of natural promotion elements in media content. Generally, promotion elements included in content appear to be incongruent with the rest of the content, inauthentic, and do not deliver the promotional brand enhancement that is desired. Natural promotion elements in media content are more authentic and offer the desired brand enhancement. The described system and method provide media content creators or media content distribution platforms a process to be compensated for the creator's natural promotional endorsements of brands. The described system and method analyze the media content and its distribution to identify and measure the quality of the included natural promotional elements, the duration of the natural promotional elements, the number of impressions of the media content consumed, and the amount of time the identified natural promotional elements are consumed. Primarily based on these components compensation rates and amounts are calculated for content creators or distribution platforms.
1 . A system for calculating compensation associated with achieving at least one set of brand promotion goals through the use of at least one set of media content that contains at least one set of natural promotional elements while minimizing resource consumption, the system comprising:
at least one electronic database configured to store information related to at least one set of advertiser requested natural promotion elements in at least one set of media content;
at least one electronic database configured to store at least one set of media content;
at least one processor with software instructions stored therein that, when executed by the at least one processor, configure the at least one processor to execute:
(i) at least one media content analysis processor which is configured to analyze at least one set of media content to identify the sentiment of at least one set of natural promotion elements, wherein sentiment analysis evaluates a plurality of parameters including expressions and micro-expressions, pupil dilation, nostril flaring, eyebrow movement, and vocal tone, pitch, pace, pauses including placement of pauses and phrasing, to assess the naturalness, authenticity, and honesty of the presentation and to recognize feelings including honest, natural, organic, authentic, and sincere;
(ii) the at least one media content analysis processor which is configured to match at least one advertiser requested sentiment of at least one natural promotion element with at least one identified natural promotion element with at least one identified sentiment of at least one natural promotion element in at least one media content set;
(iii) at least one media content distribution rules engine configured to identify at least one distribution platform to transmit at least one media content set that contains at least one identified natural promotion element that matches at least one advertiser requested sentiment, wherein the rules include limiting playout rights including play or not play and only play certain sections, and take into consideration the network over which the media content is distributed including unlimited home Wi-Fi or pay-per-bit delivered mobile networks, and high bandwidth or low bandwidth networks, and the technical ability of a playout device, wherein the media content distribution rules engine omits transmission of nonqualifying sections of the at least one media content set;
(iv) at least one server configured to transmit at least one media content set towards a distribution platform;
(v) at least one media content distribution analysis processor which is configured to analyze the distribution of the at least one media content set, including keeping track of viewing bit rate, viewing resolution, the portion of the content that was distributed, and complete views, partial views, skips, view time, pauses, fast forwards, replays; and
(vi) at least one processor configured to calculate the compensation related to the distribution of the at least one media content set, based at least in part on the duration and proportion of authentically natural sentiment as determined by the media content analysis processor within the at least one media content set; wherein the system is configured to utilize artificial intelligence and machine learning systematic approaches to increase the efficiency and performance of the system, improving quality while reducing distribution server time, reducing network delivery bandwidth, associated energy, consumer time, and use of other system resources, and wherein, based on the analysis of the distribution including metadata, the system is configured to alter and refine remaining media content such that over time the media content at a given time is different than the media content that was initially created.
2 . The system according to claim 1 , wherein at least one media content business rules and goals processor is configured to provide at least one set of instructions for the creation of at least one set of new media content based on at least one historical result of the distribution of at least one media content set that contained natural promotion elements in media content.
3 . The system according to claim 1 , wherein the at least one set of media content is video with audio.
4 . The system according to claim 1 , wherein the at least one set of media content is video.
5 . The system according to claim 1 wherein the at least one set of media content is audio.
6 . The system of claim 1 , wherein the media content distribution rules engine omits transmission of sections that do not satisfy the advertiser-requested sentiment, and the media content distribution analysis processor records the portion of the content that was distributed.
7 . The system of claim 1 , wherein device capability comprises at least one of a speaker, an HD, 4K, 8K display, or a VR headset.