A numbering system is provided having an identifier with hexadecimal, vigesimal, quadrivigesimal, or any other suitable alphanumeric characters includable on a card and an account identifiable using the identifier. The card can be a gift card, a customer loyalty card, or a customer incentive card. An interface may be connected to a communications network that is accessible to associate the identifier with an account and manage funds associable with the account. Funds data may be associable with the account and storable on the remote server, the funds data relating to the funds transferred by a user to a card issuer. The identifier may be storable on the card in an electronically readable format, and may be included on the card via printing and/or imprinting. A method is provided for using the numbering system.

Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: requesting an artificial intelligence (AI) engine for a plurality of prompts to create a social media post on a social media platform; selecting one prompt in the plurality of prompts returned by the AI engine; requesting the AI engine for social media post content based on the selected prompt; selecting a textual content and a non-textual content; combining the selected textual content and the selected non-textual content according to pre-configured settings to create one social media post; repeating selecting the textual content and the non-textual content and combining, to create a plurality of social media posts; generating a schedule for each one in the plurality of social media posts; and automatically posting each one in the plurality of social media posts on the social media platform according to the schedule.

Systems and methods for determining whether and how to present digital animations in a user interface are disclosed. According to certain embodiments, the systems and methods may facilitate the identification of a set of products or services purchased by an individual, and the determination of a reward level associated with the set of products or services. The systems and methods may select a digital animation, from a set of digital animations that is predetermined based on a set of probabilities, corresponding to the reward level, and present the digital animation in a user interface.

The present disclosure is directed to models for predicting customer behavior, including the use or adoption of products by current customers and prospective customers of a service platform offering multiple service products.

A system that analyzes a user's communications to select a promotion that is presented to the user. The analysis may occur in two stages: a first stage analyzes a single communication from a user to determine whether the user is a potential target for a promotion; for potential targets, a second stage analyzes a history of communications from the user to generate a user profile. The system may then select a promotion based on the profile. The profile may include a set of profile tags that are considerably more detailed and granular than traditional demographic data; tags may for example indicate user affiliations with groups or ideas (such as religions or political parties), or user life cycle stages. Using these rich, detailed user profile tags, the system may achieve promotion response rates far above those from traditional advertising, which relies on cookies or simple demographic categories.

A system is provided for providing action inducers to target consumer entities. The system accesses transactions relating to actions involving a consumer entity and a provider entity. The system generates training data based on the transactions. The training data includes a feature vector for each consumer entity that includes values for features derived from the transactions involving that consumer entity and a provider entity. Each feature vector is labeled with an outcome that indicates whether a previously provided action inducer induced the consumer entity to take an action. The system trains a classifier based on the training data, generates a target feature vector for a target consumer entity, applies the classifier to the target feature vector to generate a predicted outcome for the target action inducer, and when the predicted outcome satisfies an inducement criterion, provides the target action inducer to the target consumer entity.

Described is a system for the placement of digital content items on a digital content item space for a point of care (POC) facility by identifying a display interface for a point of care (POC) facility, the display interface including a digital content item space to display a digital content item, identifying one or more digital content item providers for the digital content item space; accessing a selection of the one or more digital content item providers, and identifying a set of digital content item providers for the digital content item space based on the selection. The system then causes display of the digital content item on the display interface based on the identified set of digital content item providers.

Systems and methods are disclosed to update ads on user devices that may connect to a network only intermittently by predicting and tracking various metrics associated with ads delivered to the user devices. An example method may include determining a first set of ads that were presented at a first semi-connected device while the first semi-connected device was disconnected from a network, determining a first device identifier associated with the first semi-connected device, and determining, based at least in part on the first device identifier, a first estimated number of ad impressions for a first ad. Example methods may include determining, based at least in part on the first estimated number of ad impressions, that the first semi-connected device is to be updated with the first ad, causing the first ad to be sent to the first semi-connected device, and causing at least one ad of the first set of ads to be removed from the first semi-connected device.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

An advertisement delivery method and device are provided. The method includes: obtaining advertisement information and target audience of a specific product; determining multiple advertisement attributes and determining multiple input combinations accordingly; and generating multiple corresponding first advertisement creatives based on the multiple input combinations and delivering the multiple first advertisement creatives to the target audience.