Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotions for a provider as well as generating and providing analytics data regarding currently offered promotions in real-time. In providing such functionality, the system can be configured to, for example, monitor and analyze various promotions, including current promotions and analytics data about promotion-related purchases, that enable the system to determine the relative successfulness of a promotion for a provider and/or category of provider. Upon determining what has been more successful or is expected to be a more successful promotion for a provider, the system can present the promotion to the provider for approval and/or make the promotion to consumers programmatically. In some embodiments, the system may be further configured to revise the promotion programmatically and/or upon receiving the provider's approval of the programmatically generated proposed edits to the promotion parameters.

A performance internet marketing self-optimizing, anthropomorphic, artificial intelligence-based system and method to quote, compare and purchase benefits products from a benefits provider. The system and method collects information from an online advertising platform during the process and returns the collected information to the online advertising platform for optimization of the online advertising platform.

Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.

A business accesses a campaign server and inputs information relevant to a marketing campaign. The server sends invitations to social media influencers, who then post content to various platforms to influence customers to act in ways beneficial to the business, either by further advancing the marketing campaign or by actually generating revenue for the sponsor. The system tracks the social media reactions of customers (likes, shares, etc.), as well as real-world activity (product purchases, physical attendance at advertised locations, etc.), attributable to each influencer, and points are awarded based on the activity they generate among customers. The points are weighted according to the type of activity generated and/or the social media platforms on which the activity is generated, and the running point totals of the influencers are published to foster competition among them. A total reward is allocated and paid to the influencers according to their relative total accumulated points.

An on-line marketplace provides systems and methods for a mutually beneficial messaging campaign with one or more merchants, in order to promote the merchants' products. One aspect of the messaging campaign includes augmenting the merchants' budgets across multiple commercial channels. The channels may include merchant-operated channels, marketplace-operated channels, and/or third party channels. The marketplace selects when and how to augment the merchants' budgets. The augmented budget comprises an overall content budget for the messaging campaign, including a first budget portion provided by the merchant(s) and a second budget portion provided by the on-line marketplace. The augmented budget may be determined based on a weighted combination of goals of the marketplace and one or more merchants. The augmented budget may be segmented into static and dynamic portions, in which the dynamic portion is varied between channels to determine variables to optimize budget allocation and message performance.

Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.

A storage unit stores broadcast contact information indicating a degree of contact from receivers for each of a plurality of pieces of broadcast information broadcasted by a broadcast medium. A calculation unit calculates a statistic by using broadcast contact information of first broadcast information included in the plurality of pieces of broadcast information and broadcast contact information of second broadcast information broadcasted after the first broadcast information. The statistic to be calculated is a statistic having a larger contribution of the broadcast contact information of the second broadcast information than a contribution of the broadcast contact information of the first broadcast information. A prediction unit determines predicted contact information indicating a degree of contact from receivers for broadcasting-scheduled broadcast information based on the statistic.

An advertisement distribution guarantee apparatus 10, includes; a viewing certificate generation unit 11 that causes a viewer terminal to generate a viewing certificate for a viewed advertisement content on condition that the advertisement content is viewed on the viewer terminal; a viewing certificate recording unit 12 that makes the generated viewing certificate visible to the advertiser of the advertisement content and causes the viewer terminal to record the generated viewing certificate in a blockchain database.

Advertisement systems may have an administration server, a broadcast system, a receiver, and a consumer device. The receiver may be configured to receive an advertisement with a call-to-action code. The receiver may also be configured to broadcast the advertisement with the call-to-action code to a consumer. The receiver may have an input mechanism. The consumer device may be in communication with the receiver and the administration server. The consumer device may be configured to receive the call-to-action code from the receiver when the consumer engages the input mechanism. The consumer device may include a software application. The software application may be configured to parse the call-to-action code with the administration server into call-to-action instructions. The software application may be further configured to permit the consumer to selectively integrate the call-to-action details into a third-party application on the consumer device.

A scene of a portion of a simulated environment within a field of view of a virtual camera from a virtual camera point of view (camera POV) is displayed on a display. The scene displayed is changed during a user's interaction with the simulated environment. A revised virtual camera path is generated that places more of an advertising target within the field of view of the virtual camera. The advertising target is characterized by a field of attraction of the camera POV.