Systems and methods for analyzing social media posts and social media campaigns are provided. The system may be a social media post analyzer processor configured to communicate with a plurality of external servers and a plurality of external user devices for the purposes of obtaining data on a plurality of social media posts and interactions with that plurality of posts, and configured to store and compute results based on interactions with those posts. The system can generate analysis and reports based on those interactions and provide users with information to alter and improve social media posts and campaigns by optimizing social media strategy. The present invention solves problems with the currently available social media metrics by providing social media post and campaign analysis to help users reach their intended audience, and offer analysis of trends and correlations.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, stored in computer-readable media, for analyzing the impact of a plurality of social media posts on a plurality of target audience segments, and assessing the impact of a plurality of social media posts, or of a social media campaign, relative to expected values for the impact of or interactions with the plurality of social media posts or the social media campaign, from the perspective of the inventive system, the method comprising: a system receives a definition from a user of at least one targeted audience segment for at least one social media platform; then the system receives at least one social media post by the user on at least one social media platform; then the system calculates the ratio of the time analysis score to the expected time analysis score. 2. The method of claim 1, in which the definition from the user of at least one targeted audience segment for at least one social media platform includes a weighting to each plurality of social media users comprising a targeted audience segment, a non-targeted audience segment, and/or highly influential or highly regarded social media users. 3. The method of claim 1, in which after calculating the ratio of the time analysis score to the expected time analysis score, the system provides the ratio of the time analysis score to the expected time analysis score to the user. 4. The method of claim 1, in which the system iterates the PAER for a plurality of interactions at the particular time, for some or all M interactions with the social media post, for each interaction using the mth information about the mth interactor for the mth interaction with the social media post or posts. 5. The method of claim 1, in which the system iterates the PAER for a plurality of times, each time using new information about the social media post or posts, to create an effort analysis. 6. A method, stored in computer-readable media, for analyzing the impact of a plurality of social media posts on a plurality of target audience segments, and assessing the impact of a plurality of social media posts, or of a social media campaign, relative to expected values for the impact of or interactions with the plurality of social media posts or the social media campaign, from the perspective of an external user device, the method comprising: an external user device is used by a user to define at least one targeted audience segment for at least one social media platform; then the user device is used by the user to post at least one social media post to at least one social media platform; and then the user device is notified by a system that the PAER is computing the TAS, the ETAS, and the TAS/ETAS. 7. The method of claim 6, the method further comprising, after the user device is notified that the PAER is computing the TAS, the ETAS, and the TAS/ETAS, the user device receives the TAS/ETAS from the system. 8. The method of claim 6, the method further comprising the user device being notified by the system that the system has iterated or is iterating the PAER to compute the TAS/ETAS for an additional plurality of times for the social media post or a campaign comprising a plurality of social media posts, as the system creates an effort analysis. 9. The method of claim 6, the method further comprising the user device being used to assign different weights to one or more different pluralities of social media users comprising targeted audience segments, non-targeted audience segments, and/or highly influential or highly regarded social media users, and the user device sending such weighting to the system. 10. A method, stored in computer-readable media, for analyzing the impact of a plurality of social media posts on a plurality of target audience segments, and assessing the impact of a plurality of social media posts, or of a social media campaign, relative to expected values for the impact of or interactions with the plurality of social media posts or the social media campaign, from the perspective of a third party external to a system and a user device, the method comprising: the user device sends to the system a definition, as chosen by a user, of at least one targeted audience segment for at least one social media platform; then the system receives the definition of the at least one targeted audience segment, utilizing an input/output module; then the user device, or a social media platform, sends to the system information regarding at least one social media post; then the system thereafter receives from the user device or the social media platform information regarding the social media post; then the system uses the PAER to compute a TAS and an ETAS for the social media post at a particular time; and then the system calculates the TAS/ETAS. 11. The method of claim 10, the method further comprising the system sending to the user device the TAS/ETAS, and the user device receiving the TAS/ETAS from the system. 12. The method of claim 10, the method further comprising the system 700 iterating the PAER for a plurality of times for a given social media post or campaign comprising a plurality of social media posts. 13. The method of claim 12, the method further comprising the system sending to the user device notification that the system is iterating the PAER to create an effort analysis. 14. A method, stored in computer-readable media, for analyzing the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments, from the perspective of the inventive system, the method comprising: the PAER receives information, corresponding to a particular time Tn, about a social media post from a social media platform, utilizing an input/output module; then the PAER gathers a first information about a first interactor who has had a first interaction with the social media post; then the PAER assesses the first interaction with the first information about the first interactor; then the PAER combines the plurality of assessments for time Tn to arrive at a time analysis score for the social media post at the time Tn; then the PAER computes an expected time analysis score for the social media post at time Tn. 15. The method of claim 14, the method further comprising the PAER gathering a plurality of m informations about up-to M interactors, and assessing a plurality of the up-to M interactors with that interactor's respective informations, each time using the mth information about the mth interactor for the mth interaction with the social media post or posts. 16. A method, stored in computer-readable media, for communicating information related to the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments, from the perspective of a social media platform, the method comprising: a social media platform, at a particular time Tn, sends information about a social media post to a PAER, utilizing an input/output module; then the PAER receives the information; then the social media platform sends a first information about a first interactor who has had a first interaction with the social media post, and the PAER receives the first information; and the social media platform also sends data about the first interaction. 17. The method of claim 16, the method further comprising the social media platform iterating the sending of information about the social media post and the sending of information about the interactor, for some or all interactions with the social media post. 18. A method, stored in computer-readable media, for communicating information related to the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments, from the perspective of a third party external to a PAER, a social media platform, and a user device, the method comprising: the social media platform, at a particular time Tn, sends information about a social media post to the PAER, utilizing an input/output module; then the PAER receives the information; then the PAER requests a first information about a first interactor, and data about the first interaction; then the social media platform sends the first information about the first interactor 428, and data about the first interaction; and then the PAER receives the first information and the data. 19. The method of claim 18, the method further comprising the PAER requesting a plurality of informations, up to M informations, about a plurality of the up-to M interactors, and data on the plurality of interactions, and the social media platform sending to the PAER a plurality of the information on the up-to M interactors, which the PAER receives. 20. A system of communicably connected components for analyzing the impact of a plurality of social media posts on at least one target audience segment, the system comprising: a plurality of processors; a plurality of memories, which store a plurality of computer-readable instructions; a plurality of databases for storage of information related to social media posts and interactions; a plurality of computer-readable media for storing computer-readable instructions; and a plurality of input/out modules for communication with social media platforms and/or user devices. 21. The system of claim 20, in which the plurality of computer-readable instructions comprise instructions for one or more of: analyzing the impact of a plurality of social media posts on a plurality of target audience segments; or assessing the impact of a plurality of social media posts, or of a social media campaign, relative to expected values for the impact of or interactions with the plurality of social media posts or the social media campaign; or analyzing the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments; or communicating information related to the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments; or communicating information related to the impact of a social media post on a plurality of target audience segments at a time Tn by assessing the impact of the social media post relative to expected values for the impact of or interactions with the social media post by members of a target audience segment or segments. 22. Computer-readable instructions, stored in computer-readable media, for analyzing the impact of a plurality of social media posts on a plurality of target audience segments, and assessing the impact of a plurality of social media posts, or of a social media campaign, relative to expected values for the impact of or interactions with the plurality of social media posts or the social media campaign.