Described herein are methods and systems allowing a company to market and advertise its brands, products and/or services in a mobile platform by use of an application converting a user input into a corresponding branded icon, logo or image and displaying the same. The user input is in the form of a text entry from the device keyboard, e.g., a brand name or a generic search word, or a voice or sound input or audio demand from the device speaker. By providing various menu functions associated with the displayed icons, logos or images, the application combines mobile texting with online search or browsing to provide for a much simpler and more convenient mobile experience.

Technologies for identifying prospective marketing targets based on payment vehicle-based payment transactions processed over electronic payment networks are disclosed. Payment vehicle-based payment transactions are analyzed to determine historical purchase activity progressions. Consumer behavior can be mapped to a historical purchase activity progression so that future spend behavior of the consumer can be identified.

The present disclosure relates to methods, systems, and apparatuses for providing promotion recommendations using a promotion and marketing service. Some aspects may provide a method for providing a promotion recommendation framework. The method includes receiving, via a network interface, a promotion recommendation inquiry from a component of a promotion and marketing service, the promotion recommendation inquiry including electronic identification data identifying at least one of a consumer or a consumer characteristic. The method also includes identifying, via processing circuitry, promotion transaction information associated with the electronic identification data. The promotion transaction information includes electronic data identifying at least one transaction performed using the promotion and marketing service. The method also includes determining, via the processing circuitry, at least one promotion recommendation based on the promotion transaction information, and providing, via the network interface, the at least one promotion recommendation in response to the promotion recommendation inquiry.

In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system using predictive models derived from tiered feature data.

Methods and systems are described for providing advertising services to devices with a customized adaptive user experience. In one embodiment, a system includes a user interface (UI) configurator to provide a custom scripting framework to create and edit customizable ad formats for display on a device. The ad system receives an ad request from the device with the ad request including different types of information including publisher settings of a selected software application on the device, an application id to identify the selected software application, placement information for timing placement of at least one ad or interstitial ad to be displayed on the device. The ad system processes the ad request to determine an ad format and timing placement of the at least one ad or interstitial ad based on the information contained in the ad request.

Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.

A method and system for managing digital media campaigns accesses a set of programming data that contains various attributes of media assets that a media service provider will present to users. A media advertising campaign manager receives various criteria for the inclusion of advertisements in a particular entity's advertising campaign. The system uses the attributes in the data set to develop an advertising campaign that satisfies the entity's criteria. In various embodiments, the method system may consider the entity's preferences, seller criteria, and campaign requests for other entities.

A processor provided with hardware and a memory storing group consumption information containing group information containing a plurality of pieces of user information of a plurality of user terminals and consumption information associated with the group information are provided. The processor acquires notification information for performing notification about a store externally, retrieves the group consumption information based on the user information of the user terminals constituting a group, selects the notification information from the acquired notification information based on the retrieved group consumption information, and outputs the selected notification information.

The present disclosure provides enhanced techniques for dynamically monitoring and controlling user experiences on a website based on user activity of associated software applications. A system can offer a number of web pages to different user groups in an experiment. Each web page can describe respective configurations of an application, and each user group may receive a particular web page based on one or more criteria. An application installer and a resource identifier are transmitted to the client device in response to an installation request. A configuration file is also delivered to the client device based on the resource identifier. The configuration file causes the installation of a particular application configuration on the client device. The application configuration sends telemetry data indicating user retention data to a service. A usage report summarizing the telemetry data is generated and utilized to adjust the criteria for controlling one or more experiments.

In certain aspects, the disclosed implementations include methods and systems for providing transaction affinity merchant recommendation information performed by transaction affinity platform computing components that execute software stored in a memory. In certain aspects, the disclosed implementations may determine transaction affinity relationship data for transactions associated with a set of account records. Each account record in the set of account records may be associated with a set of users. The disclosed implementations may also determine transaction affinity relationship profiles based on transaction affinity profile parameters that are associated with the transaction affinity relationship data and first transaction data. Further, the disclosed implementations may determine one or more transaction affinity patterns based on the transaction affinity relationship data and the transaction affinity relationship profiles. In certain aspects, the disclosed implementations may further determine transaction affinity merchant recommendation information based on the one or more transaction affinity patterns.