A device may use a device discovery process to automatically determine a configuration of a home network system of the user. A device may store data representative of the determined configuration of a home network system of the user in a data repository. A device may use the data representative of the determined configuration of the home network system of the user to automatically verify a compliance by the user with a condition for receiving the targeted advertisement. A device may provide the targeted advertisement to the user when the determined configuration of the home network system of the user is determined to be in compliance with the condition for receiving the targeted advertisement.

Items are sold via a wireless mobile telecommunications network in which multimedia presentations describing items offered for sale are broadcast for reception by wireless mobile devices. Users of the devices can transmit responses indicating requests to buy the items or bid for them in auctions.

Aspects of the subject disclosure may include, for example, a device including a memory and a processor for performing operations including accessing a user persona comprising a plurality of attributes and a plurality of content preferences of a user of a communication device, presenting at an interactive site a plurality of content suggestions that are generated according to the user persona, receiving a content selection from a presentation of the plurality of content suggestions at the interactive site, and updating the plurality of content preferences of the user persona according to the content selection. Other embodiments are disclosed.

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.

This Application sets forth techniques for syndicating customizable content (e.g., marketing materials) to syndication recipients (e.g., online store providers). In particular, the techniques enable each syndication recipient to individually customize various aspects of the customizable content such that their customized content can be incorporated into respective content provided (to end users) by the syndication recipients.

Methods are disclosed that include receiving electronic content data associated with an electronic content provider comprising: a content campaign identification associated with a virtual token, and provider-identified platform identifications that identify platforms on which the content campaign may be initiated; receiving input from the user comprising: a user identification, a virtual token identification, a campaign identification that identifies the content campaign associated with the virtual token, and user-identified platform identifications that identify the platforms on which the user consents to be targeted by the content campaign; determining, based on the received electronic content data and user data, the content campaign and platforms the user consents to; and generating a notification to initiate a content campaign targeting the user on the platforms on which the user consents to be targeted; and outputting the generated notification to the platforms on which the user consents to be targeted.

A dynamic digital advertising content system having a front end system and a back end system, and used to present product content to a user's computing device in the form of a digital circular. The back end system provides retailers and third party access to upload, and update, product content information for the digital circular, including videos and animations. The dynamic digital advertising content system can include integrations for third-parties such as digital coupon providers and loyalty program providers. The system permits users the ability to share with other users merchandise displayed in the digital circular and/or selected for a shopping list. Such shared content can be dynamically arranged for subsequent presentation on a computing device of the recipient. The digital circular is further customizable for individual retailers or retailer locations, as well as customizable based on detected histories and/or characteristics of the user receiving the digital circular.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (machine representation); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (machine representation); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.