Methods and systems for providing targeted marketing include using consumer-centric indices to identify users who are most conversant with marketing communications. In particular, one or more embodiments generate a model that indicates a probability of user interactions based on dynamic data. The dynamic data indicates a time to action for each user interaction with a marketing communication within an observation window. The model fits the dynamic data to a distribution and determines the parameters of the distribution. Using the parameters of the distribution, one or more embodiments calculate interest scores for users who have received marketing communications. One or more embodiments select a set of users as a target audience based on the interest scores and provide marketing communications to target audience.

Aspects of the subject disclosure may include, for example, a method that include combining an offer with media content to generate a notice within a portion of the media content, providing the notice in the designated portions of the media content with the notice during a media content presentation at equipment of a user, receiving an indication of interest in the portion, retrieving marketing information for the portion of the media content based on the user profile including location based information, time based information, and activity information, monitoring an activity of the mobile communication device to determine when the mobile communication device information satisfies a location, time, and activity information that matches the marketing information and determining a communication for the user based on the marketing information and the monitoring of the activity of the mobile communication device. Other embodiments are disclosed.

A persona aggregation and interaction system comprising a consolidation engine, a persona engine, an interface engine, an interaction engine, and a reward engine. The consolidation engine is configured for acquiring external information regarding various entities from various platforms. The persona engine is configured for aggregating said external information to create a personas associated with multiple platforms. The interface engine is configured to display to a user a first persona icon associated said first persona. The interface engine invites the user to select the first persona icon to view said first persona. The interaction engine is configured to present the user with an option to interact with the first persona and receive an indication of interactions by the user. The reward engine is configured for providing the user with an incentive based upon said indication of interaction.

Methods and systems for performing non-linear optimization of reach are described herein. The methods and systems may be used to compute the reach associated with different advertisement campaigns involving different combinations of spots. The method includes computing probabilities that a user will access a certain spot. The method includes retrieving a weight associated with the targeted user demographic. The method includes computing a first reach value using a first non-linear function, and a second reach value using a second non-linear function. The method includes comparing the two reach values to each other and to a predetermined reach threshold. The higher reach value larger than the predetermined reach threshold is selected and information associated with the selected reach value is provided to the user.

Methods and systems for matching a consumer to benefits offered by enabling organizations provide flexibility and utility to consumers in the marketplace for various products. Information about benefits and enabling organizations are provided and stored in a memory of a computer system. A search query including consumer interest data of a consumer, or results of such a search query, are received. The enabling organization information, benefit information, and search query or information related to the search query results are analyzed automatically in the computer system to provide analysis results, to determine whether any enabling organization to which the consumer is affiliated is offering a benefit for the consumer that is applicable to the said consumer interest data. A message is sent to the consumer including a list of venues ordered according to a search score.

Obtaining, by a central system, a plurality of first data messages over a network from a plurality of first remote systems; generating first information based on the first data messages; receiving a second data message including second information from a second remote system; comparing the second information with at least a portion of the first information; determining whether a patient associated with the second information is eligible for a promotion based on the comparing; if eligible, generating a third data message authorizing the second remote system to provide a discount based on the first information; and providing the third data message to the second remote system; if ineligible, generating a fourth data message, the fourth data message indicating the patient is not eligible to receive a discount; and providing the fourth data message to the second remote system.

Exemplary embodiments relate to techniques for determining social networking or messaging user affinity and engagement coefficients (e.g., a measure of the connectedness between two people in a network). The described techniques are particularly well-suited to cases in which only limited information is available, such as when a new user joins a network and only the user's contacts list is available. The available information may be used to determine a group of existing users to which the new user is connected. Some embodiments relate to calculating scores among these existing users in order to infer an affinity for the new user to the existing users. Other embodiments involve calculating bilateral scores that reflect a degree of mutual affinity between two users.

Electronic advertisements and other types of electronic information are distributed based on user profiles and in particular, collections of widgets. User profiles may be generated based on a combination of user entered information and information inferred or derived from user behavior and interaction patterns. The use and collection of various widgets may also be recorded by a user profile to determine a user's preferences and interests. An advertisement may be distributed by segmenting a user population according to user profile information and one or more attributes of the advertisement. Users may further interact with the widgets in a variety of ways including requesting additional information about the advertised product or service and/or requesting communications with an advertiser without compromising their privacy.

A client device can receive, from a data processing system, first data, the first data selected by the data processing system based on second data generated by at least one IoT device with which the client device is associated, and the first data indicating at least one advertisement. The client device can access the at least one advertisement using the first data indicating the at least one advertisement. The client device can add the at least one advertisement to the content accessed by the client device. The client device can present the content with the at least one advertisement added to the content.

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.