Abstract: Systems and methods are provided to generate a user interface conveying subscriber behavior of subscribers within a membership platform. Exemplary implementations may: obtain subscribership information for content creators of a membership platform, the subscribership information characterizing subscribership of individual subscribers to individual ones of the content creators for individual intervals of time; determine, based on the subscribership information, values of a behavior attribute representing behavior of the individual ones of the subscribers with respect to the individual ones of the content creators for the individual ones of the intervals of time; effectuate presentation of a user interface based on the values of the behavior attribute; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for determining tax classification of benefits offered to subscribers of a membership platform.

Abstract: Systems and methods to facilitate quality control of benefit items created for subscribers of a membership platform are described herein. Exemplary implementations may: obtain subscribership information; obtain quality control information; effectuate presentation of a reward fulfillment user interface; obtain input information; calculate levels of quality of digital assets; determine sets of subscribership criteria that correspond to the calculated levels of quality; authorize fulfillment of physical benefit items; and/or perform other operations.

Abstract: Systems and methods are provided for recommending benefit types of benefit items to offer within a membership platform.

Abstract: Systems and methods are provided for facilitating resolution of work items within a fraud resolution workflow. Exemplary implementations may: manage fraud workflow information, the fraud workflow information specifying a queue of work items, individual work items representing individual fraud resolution tasks associated with individual content creators of a membership platform flagged for fraud, individual work items being associated with work items records; effectuate presentation of a user interface for displaying individual work item pages through which the users access the individual work items for resolution, wherein the user interface facilitates access to individual ones of the work item records of the individual work items associated with the individual work item pages; and/or perform other operations.

Abstract: Systems and methods are provided to process payments for subscribership within a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain payment processor information characterizing payment processing entities; obtain transaction information characterizing requested transactions between the content creators and the subscribers; determine which of the payment processing entities should process the requested transactions; execute the requested transactions using the payment processing entities; and/or perform other operations.

Abstract: Systems and methods to generate creator page recommendations for content creators within a membership platform based on classification of content creators are described herein. Exemplary implementations may: obtain new creator information; obtain existing creator information; classify individual existing content creators into modality classes and/or genre classes based on the existing creator information; classify individual new content creators into the modality classes and/or the genre classes based on the new creator information; generate relationship information establishing relationships between the new content creators and the existing content creators; generate one or more creator page recommendations based on the relationship information; effectuate presentation of the one or more creator page recommendations; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for facilitating resolution of work items within a fraud resolution workflow. Exemplary implementations may: manage fraud workflow information, the fraud workflow information specifying a queue of work items, individual work items representing individual fraud resolution tasks associated with individual content creators of a membership platform flagged for fraud, individual work items being associated with work items records; effectuate presentation of a user interface for displaying individual work item pages through which the users access the individual work items for resolution, wherein the user interface facilitates access to individual ones of the work item records of the individual work items associated with the individual work item pages; and/or perform other operations.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.

Abstract: Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods to facilitate quality control of benefit items created for subscribers of a membership platform are described herein. Exemplary implementations may: obtain subscribership information; obtain quality control information; effectuate presentation of a reward fulfillment user interface; obtain input information; calculate levels of quality of digital assets; determine sets of subscribership criteria that correspond to the calculated levels of quality; authorize fulfillment of physical benefit items; and/or perform other operations.

Abstract: Systems and methods are provided for determining tax classification of benefits offered to subscribers of a membership platform.

Abstract: Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.

Abstract: Systems and methods are provided for identifying subscribers and/or content creators to each other while attending a real-world/live event. The real-world/live event may be in furtherance of content creation or in furtherance of providing preferential access to subscribers. Identification in the case of subscribers can be based upon subscribership information, commonality of one or more aspects of the subscribers and/or the content creators. For example, a subscriber may be identified with a level of prominence commensurate with the level at which he/she subscribers to a content creator to. Notifications and/or recommendations may be presented in an augmented reality experience along with augmented reality identifications of subscribers and/or content creators.

Abstract: Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

Abstract: A system and method is provided for generating subscription recommendations suggesting ways that one or more creators of content may increase subscribership and/or prominence of the one or more creators. Subscription recommendations can involve changing and/or updating subscription levels offered by a content creator to potential, existing, or previous subscribers of the content creator. Current and/or historical performance data associated with the content creator, other content creators, and/or the consumers making up a community of subscribers may be analyzed in order to generate subscription recommendations.