In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

The disclosed methods and apparatus relate generally to the use of electronic devices to interact with electronic tags associated with objects, services, places, people, or animals (“objects”) in order to access programming material related to these objects. The invention discloses the input of keywords, phrases, preferences, or interests into a user's device to search a plurality of electronic tags within a given physical range to access programming material from the tags—or via data links provided in the tags—that matches the keywords, phrases, preferences, or interests. Furthermore, the invention locates, maps, and labels the objects associated with this programming material on the user's display.

Systems and methods for data communication using audio patterns are described. The methods include encoding a message into an audio pattern, mixing the audio pattern with an audio content to obtain a mixed audio content, wherein the audio pattern is inaudible in the mixed audio content, and transmitting the mixed audio content.

Disclosed are various embodiments for defining subcategories of items to be used in merchandising. The subcategories may be defined on the basis of item data and/or sales data for the items. Based on a distribution of the items in accordance with one or more of the item and/or sales data, implicit groups or subcategories can be identified and selected for merchandising purposes.

Computer-implemented systems and methods disclosed herein disclose features for determining the frequency of exposure to real-world products embedded with Internet-Of-Things (IoT) hardware and determining a comprehensive targeting profile identifying the interests of users based on their exposure to real-world products. A computing device carried by a user wirelessly receives product exposure data from a nearby IoT-enabled device upon entering within a certain proximity of the IoT-enabled device. The computing device further compiles the product exposure data with previous product exposure data for IoT-enabled devices to which the computing device was previously exposed. Based on the compiled product exposure data, a server device determines a frequency of exposure to a product corresponding to the IoT-enabled device over a period of time. The server device further transmits an electronic communication promoting the product corresponding to the IoT-enabled device if the frequency of exposure increases over a threshold value.

Providing a purchase incentive to a mobile device based for example the user's location, predicted route of travel, and prior transactions. A tracking server computer determines a number of locations of a mobile device as it travels along a route and an associated timeframe when it is at each of the locations. The tracking server computer records the locations and associated timeframes in a location log and analyzes the location log to predict a subsequent location and associated timeframe that the mobile device will be at that location. The tracking server computer then determines a merchant proximate to the predicted subsequent location of the mobile device and generates a purchase incentive for use at the merchant and delivers the purchase incentive to the mobile device. In the alternative, the incentive may be generated by a merchant computer or the mobile device.

The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method comprises: receiving, by a computing device of a cloud-based campaign system, a campaign for products or services from a marketing system via a network; providing, by the computing device, the campaign to one or more participants on the network; obtaining, by the computing device, feedback from the one or more participants regarding the campaign; analyzing, by an artificial intelligence tool of the computing device, the feedback to generate marketing analytics information; and providing, by the computing device, the marketing analytics information to the marketing system via the network.

Methods, systems and computer program products for prompting web-based user interaction are provided. Aspects include determining a plurality of items of interest based on data associated with a user. Aspects also include associating an emotion with each item of the plurality of items of interest. Aspects also include associating an emotion with each digital media clip of a plurality of digital media clips. Responsive to detecting an internet browsing action performed by the user, aspects include displaying a selected digital media clip of the plurality of digital media clips and a selected item of interest of the plurality of items of interest. The selected digital media clip and the selected item of interest are associated with a same emotion.

A method of augmenting a telecommunications call, the method comprising: detecting a telecommunications call event at a user telecommunications device; selecting an item of media content, the item of media content being associated with the calling party; augmenting the call with the item of media content; detecting a user interaction with the device in response to the item of media content; and transmitting information relating to the user interaction to the calling party.

Subject innovations are directed towards a platform architecture, system, and special purpose software and hardware that employs a machine learning approach using transactional behavioral events and data about customers to allow a telecommunications marketer to express a set of configurable business rules and constraints, and within a dynamic optimization approach, derive solutions or marketing approaches to optimize delayed key performance indicators. In one embodiment, this is obtained using marketing experiments that seek to learn and influence long term behaviors of customers.