A method and system for generating a modified input/output (I/O) device policy in response to external promotional events. The method includes generating a modified policy based on a request to promote at least one service, wherein the modified policy is generated based on at least one service currently defined in an initial policy of the I/O device and similar to the at least one service to be prompted; determining a current state of a user of the I/O device based on a collected dataset related to a user of the I/O device; and executing, based on the current state, at least one plan defined in the modified policy, wherein executing the at least one plan further includes causing the I/O device to activate at least one service to be prompted.

A method includes sending an encrypted first hash value set to a data provider; receiving an encrypted second hash value set and a double-encrypted first hash value set from the data provider; re-encrypting the received encrypted second hash value set to obtain a double-encrypted second hash value set; calculating an intersection of the double-encrypted first hash value set and the double-encrypted second hash value set to determine one or more shared users shared with the data provider; and recommending or providing a service to the one or more shared users.

Systems, methods, and computer-readable media are disclosed for systems and methods for automated graphic generation for data sets identified using artificial intelligence. Example methods may include determining a set of user accounts that are similar to a second user account, determining first historical performance data for a first set of digital content associated with the first user account, determining second historical performance data for a second set of digital content associated with the second user account, and generating a first score for the first user account. Example methods may include determining a first number of search queries associated with the first user account, determining a second number of search queries associated with the second user account, generating a second score for the first user account, causing presentation of the first score and the second score at a user interface, and generating an action recommendation for the first user account.

Methods and systems are described for providing communications to devices with a customized adaptive user experience. In one embodiment, a system includes a storage medium to store one or more software programs and a format and targeting builder unit to create and edit customizable ad formats and create target user segments. The system includes processing logic that is configured to execute instructions of at least one software program of the format and targeting builder module to receive biometric data from devices of users and provide the options of custom scripting for creating and editing ad formats and targeting user segments with different categories.

Methods, systems and media for presenting media content that was advertised on a second screen device using a primary screen device are provided. In some implementations, a method for advertising media content to a user is provided, the method comprising: receiving an advertisement request from a computing device; receiving association information indicating that the computing device is associated with a media presentation device; receiving user account information associated with the user account; in response to the advertisement request, selecting an advertisement for media content based at least in part on the association information and the user account information; determining whether an indicator of subscription status of the user account to a service is to be presented in connection with the selected advertisement; causing the advertisement to be presented by computing device, wherein the advertisement is associated with instructions that, in response to interaction with the advertisement, cause the computing device to instruct the media presentation device to present the media content and the indicator of subscription status; receiving input indicating that the indicator of subscription status has been selected; causing an application associated with the service to be transmitted to the computing device; and updating the subscription status of the user account in connection with the service.

Disclosed herein are systems, methods, and apparatuses for upselling customers on mobile device services and hardware. In one embodiment, the method comprises creating a catalog associated with a mobile device; recording data associated with the mobile device and storing the data in the catalog; creating a profile associated with the mobile device based on the catalog; comparing the profile to one or more peer profiles to determine if at least one new item can be offered to a user of the mobile device; identifying one or more new items to offer to the user of the mobile device; and transmitting an offer to the mobile device, the offer including the one or more new items.

Gift givers typically find the process of selecting a personalized gift for a gift recipient to be time consuming with a low likelihood that the selected gift will be positively received by the recipient. The present disclosure describes analyzing a gift recipient's transaction history using machine learning techniques. Based on the analysis, one or more gift recommendations are provided to the gift giver. The one or more gift recommendations may comprise links to purchase products associated with the one or more gift recommendations. Additionally or alternatively, the one or more gift recommendations may comprise information about where the product may be purchased. This may improve the overall accuracy of the gift giving process, while reducing the stress surrounding gift giving. Additionally, the commercial opportunities of businesses may be expanded by partnering with sites that host the analysis.

Methods and apparatus for delivering content to an audience member via one or more mediums based on an audience member profile are disclosed. Profile data for audience members may be initially collected from an offline source, such as a registration or subscription database. The profile data may be stored in a dedicated database. The initial profile data may be supplemented periodically with data reflecting online activity by the audience member. The combined offline and online profile data may be used to group the audience members into segments. Audience member segments may be used to identify audience members who are targeted to receive like content. An audience member's inclusion in a segment may be indicated by storing a segment-targeting cookie on the audience member computer. Content may be delivered to the audience member based on identification of the segment in the segment-targeting cookie.

A computer-implemented method for controlling content distribution includes forwarding information associated with a user to a device operated by the user, the information being configured for use in selecting content from any of multiple content providers for a content distribution to the user. The method includes receiving, in response to the information, an edit of the information forwarded from the device. The edit identifies a first content provider and including a first modification of the content distribution regarding the first content provider. The method includes storing the edit in association with the information such that the first modification is taken into account in the content distribution. The method can be implemented using a computer program product tangibly embodied in a computer-readable storage medium.

First information associated with a first anonymous user, which indicates activities related to interactions of the first user with a first website, is obtained using a cookie. Second information associated with a second anonymous user, which indicates activities related to interactions of the second user with a second website, is obtained using a cookie. The first information and the second information are correlated to determine commonalities between the first information and the second information. In response to identifying at least one commonality, the first user identifier is associated with the second user identifier, and the first information is aggregated with the second information, based on the association. The aggregated information is stored in a profile associated with a single user, who is classified based on the aggregated information. The user, who may still be anonymous, is provided content based on the aggregated information.