A device receives, from a client device, a first request associated with target audience criteria and a time constraint. Based on the target audience criteria, the device sends, to an information device, a network state request. In response to the network state request, the device receives, from the information device, a network state response including user data associated with user devices. Based on the network state response, the device determines a predicted network state, including predicted user data associated with the user devices, associated with the time constraint. Based on the predicted network state and the target audience criteria, the device determines a predicted quantity of user devices associated with both the target audience criteria and the time constraint. The device sends, to the client device, a first response based on the determination of the predicted quantity of user devices.

Disclosed is a method and system (collectively platform) of geolocation and time-based advertising. The platform may include receiving, using a communication interface, a first geolocation from a client device. Further, the platform may include, receiving, using the communication interface, an advertisement content from the client device. Additionally, the platform may include creating, using the processor, an association between the first geolocation and the advertisement content. Further, the platform may include storing, using a storage device, each of the first geolocation, the advertisement content and the association. Furthermore, the platform may include receiving, using the communication interface, a second geolocation from a client device. Additionally, the platform may include comparing, using the processor, the second geolocation with the first geolocation. Further, the platform may include transmitting, using the communication interface, the advertisement content to the client device based on the comparison.

A computer-implemented method of generating recommendations based on predicted activity includes: receiving transaction data associated with a first transaction initiated by a user; determining, based on the transaction data, that the first transaction is associated with a travel purchase; in response to determining that the first transaction is associated with a travel purchase, identifying itinerary information associated with a trip; and automatically initiating at least one target action based on the itinerary information. A system and computer program product for generating recommendations based on predicted activity is also disclosed.

Among other things, videos and commercials are downloaded to a mobile device for storage on the mobile device and later playout on the mobile device. The downloading includes downloading of metadata associated with the commercials and based on which the mobile device can select commercials for insertion into videos being played back to the user of the mobile device. The commercials to be downloaded are selected based on one or a combination of any two or more of the location of the user, the type of mobile device, and personally-identifiable information about a user of the mobile device.

The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as modeling data). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.

A wireless device is enabled to provide offers. The wireless device receives card data for a financial account card and stores the card data in a memory associated with the wireless device. Responsive to using the card data in a transaction at a first merchant location, the wireless device receives transaction line-item data from a computing system associated with the first merchant location. The wireless device determines merchant information for a second merchant location and determines an offer associated with the second merchant location based on the line-item data and the merchant information for the second merchant. The wireless device presents the offer when the wireless device is near the second merchant location.

Server and method for synchronizing display of a digital content on a plurality of computing devices. The server transmits a synchronization request, including a digital content identifier for identifying the digital content, to the devices. The server determines a number of negative responses received from the devices in response to the synchronization request. Each negative response is indicative of one among the plurality of devices not being capable of displaying the digital content. The server transmits a new synchronization request to the computing devices if the number of received negative responses reaches a threshold. The server transmits a display command to the devices for displaying the digital content on their respective displays if the number of received negative responses does not reach the threshold. For example, the method applies to a digital signage server synchronizing display of a digital signage content on a plurality of digital signage players.

A content delivery platform may deliver program content segments and advertising content segments to multiple user devices. The content delivery platform may deliver a program content segment to a primary user device of a user for presentation on the primary user device. The content delivery platform may retrieve an advertising content segment from an advertising content store for presentation. The advertising content segment is provided by an advertiser that is sponsoring the presentation of the program content segment on the primary user device. The content delivery platform may send the advertising content segment to a secondary user device of the user for presentation at the secondary user device.

Techniques for automatically merging multiple content item queues are provided. In one technique, a first set of content items of a first type is identified. A second set of content items of a second type that is different than first type is identified. The the first set of content items and the second set of content items are merged in a content item feed. Such merging involves, for a particular slot in the content item feed: determining a previous slot that contains a first content item from the first set; determining a number of slots between the previous slot and the particular slot; based on the number of slots, generating a score for a second content item from the second set; and based on the score, determining whether to insert, into the particular slot, the second content item or a third content item from the first set of content items.

Systems and methods for measuring brand uplift in a computer networked environment are provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.