Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client. The system allows for a plurality of clients to use the system substantially simultaneously while protecting the privacy and integrity of the client's proprietary data and results.

An online social network is provided. A sentiment is determined for each of a plurality of users of an online social network (OSN) in relation to a first product. A category is determined for each of the plurality of users based, at least in part, on the sentiment of each of the plurality of users, respectively. A group including a first user and a second user of the plurality of users is generated based, at least in part, on the category of each of the first user and the second user and a relationship within the OSN between the first user and the second user. An advertisement is presented to the first user. An indication is presented to the first user that the advertisement is also presented to the second user.

Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device. The first communication device presents the first advertisement within navigation content utilizing the navigation application prior to presenting the second advertisement within the navigation content based on the determination. Other embodiments are disclosed.

A method is disclosed for displaying dynamic media content on a vehicle-mounted display as the vehicle travels along a route. The dynamic content may be audio or video content, and is selected based in part on sensor data, which may pertain to contextual or environmental factors. The content may be dynamically adjusted during playback, such as by bouncing or sharply changing direction during a sudden change in velocity or acceleration. Aside from motion-related factors, other contextual and environmental factors include weather, visibility, traffic, location, and time of day.

A processor may generate, based on a predicted route of a user, a timeslot for presenting information to the user. The predicted route may be associated with a route segment, and the timeslot may be associated with the route segment. The processor may match one or more proposals to the timeslot associated with the route segment. The one or more proposals may be matched, at least in part, based on proposal criteria set by a proposal criteria user associated with the proposal. The processor may predict an acceptance potentiality of the user. The processor may select a subset of the one or more proposals. The processor may provide the selected subset of the one or more proposals. The selected subset may be provided, at least in part, based on the acceptance potentiality.

A system for controlling a device, comprising a user-controlled overlay configured to receive one or more user-entered controls and to generate a display on a screen of the device that includes a tab, a panel and a plurality of icons disposed within the panel. A touch screen controller configured to receive user-entered screen interface data from the screen and to generate coordinate data from the user-entered screen interface data. A processor coupled to the user-controlled overlay and the touch screen controller, the processor configured to modify the user-controlled overlay to generate a user-interface window for an application associated with a selected icon in response to the coordinate data. The user-controlled overlay includes a fly-out window associated with one or more of the icons, wherein the content of the fly-out window is generated from an alert received at a wireless interface of the device.

The present disclosure provides systems and methods configured to perform the stages of: receiving an initial device location; receiving a subsequent device location; determining a course of travel associated with the device; aggregating data associated with courses of travel for a plurality of devices; determining a plurality of commonly traveled paths based on the aggregated data; receiving an identification of a path of the plurality of commonly traveled paths; and defining content to be transmitted to at least one device traveling down the identified path.

Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution. The configuration data define a configuration for displaying a content of the candidate campaign on selected screens among the screens controlled by the computing device.

A creator of a media program is recommended to air an advertisement at a time or for a duration during an episode of the media program. The time or the duration are determined based on numbers of listeners to the episode of the media program, which may be predicted based on attributes of the creator or the media program, and attributes of other creators or other media programs, as well as listenership of episodes of the other programs. A machine learning model is trained to associate attributes of creators or media programs with listenership, and slots or other portions of an episode of a media program are identified for a creator of the episode of the media program based on outputs received from the machine learning model.

Methods and apparatuses are described for generating and managing electronic communication campaigns. A data storage container receives campaign data comprising electronic communication metadata and structured review data from a first computing device. A server prepares one or more electronic communications based upon the campaign data by partitioning the structured review data into one or more subsets, each associated with a user identifier, and generating, for each subset, an electronic communication addressed to a user corresponding to the user identifier and comprising a URL to access the review data. The server transmits the prepared electronic communications to one or more remote computing devices. The data storage container updates the structured review data using input received from each remote computing device after detecting activation of the URL transmitted to the remote computing device to access the review data.