An attention application measures a user's attention focused on publisher content and advertisements to create an attention metric. Attention can be measured via hardware sensors or by user interactions with input/output hardware. A user attention metric profile can be used to modify content, content presentation, and/or match ads. Aggregate attention metrics can be used by publishers or third parties. Attention consumers may reward attention with a digital asset. A proof-of-attention can be made based on secure attention sensor hardware and/or a zero-knowledge proof.

In one aspect, an example method includes (i) obtaining historical content consumption data for a content-presentation device; (ii) determining, using the historical content consumption data, a first probability of the content-presentation device viewing at least a first amount of a first advertisement segment and a second probability of the content-presentation device viewing at least a second amount of a second advertisement segment; (iii) determining a first estimated value of serving the first advertisement segment based on the first probability and a first cost of the first advertisement segment; (iv) determining a second estimated value of serving the second advertisement segment based on the second probability and a second cost associated with the second advertisement segment; (v) selecting the first advertisement segment based on the first estimated value being greater than the second estimated value; and (vi) causing the first advertisement segment to be transmitted to the content-presentation device.

A method of managing use of a digital billboard. The method comprises determining, by an analysis application executing on a computer system, a plurality of mobile viewsheds for each of a plurality of mobile communication devices, where a mobile viewshed comprises a location, a speed, a direction of travel of the mobile communication device, accessing demographic and profile information of a subscriber associated with the device, determining an arcscore for each of the mobile viewsheds that intersect a static viewshed of the digital billboard based in part on the speed of the mobile viewshed and the angular alignment of the direction of travel of the mobile viewshed with an orientation of the static viewshed of the digital billboard, and rotating content presentation on the digital billboard at a rate determined in part based on the arcscores and based on the average traffic speed.

Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

Aspects of the subject disclosure may include, for example, providing to a user device a video content item including at least one scene which includes a plurality of advertisement placement opportunities and determining a preference profile for an individual associated with the user device. Aspects further include selecting a group of matching advertisements having advertisement profiles that match the preference profile for the individual and determining a relative prominence score for each advertisement placement opportunity. Aspects further include ordering the matching advertisements according to prominence information specified for each matching advertisement, wherein the prominence information corresponds to a relative desired prominence specified by an advertiser associated with the matching advertisement. Aspects further include providing the ordered matching advertisements to the user device according to the respective prominence information so that a matching advertisement having a greatest desired prominence is displayed in the video content item at an advertisement placement opportunity having a highest relative prominence score. Other embodiments are disclosed.

Systems and methods of dynamically varying the intensity of providing content items in a remarketing campaign based on tracking client device interactions are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre conversion model, responsive to receiving a second interaction. The system can assign, the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for the account identifier based on the post-conversion model. The system can store the account identifier into an interest cluster based on the intent index.

Systems and methods are presented for managing the cadence (e.g., frequency or rate) that electronic promotion correspondence is sent to a consumer. A system may access a target cadence indicator associated with a consumer that indicates of a target rate for sending electronic promotion correspondence to the consumer. The system may also determine an actual cadence indicator for the consumer over a predetermined period of time and analyze a potential electronic promotion correspondence for sending to the consumer. The system determines whether to send the electronic correspondence to the consumer based on the target cadence indicator, the actual cadence indicator, and the analysis of the electronic promotion correspondence.

The disclosure relates to securing and enabling user control of profiling data, blockchain-driven matching of users and advertiser-identified anonymous profiling data records of interest, and smart contracts encoded by blockchain for executing transactions. The system may include an anonymized database of profiling data, which is unlinked to any user. The system may implement a private blockchain to store user-defined settings that provide user control over whether and how the profiling data may be used. If a grant to use the data is received, a link is stored that allows the system to identify a user associated with the anonymous profiling data records. If the grant is revoked, the link may be removed. The system may also implement public blockchain technology to record a public information relating to grants, online marketing transactions, making them verifiable, immutable, and transparent for various stakeholders including advertisers, publishers, and users.

Aspects of the subject disclosure may include, for example, a method in which a processing system obtains physical and social environmental data for a communication device user, and provides content for presentation at the device. First reaction data, obtained via sensors associated with the user, indicate the user's reaction to presentation of the content; the data is analyzed to determine user affinity for the content in a context of the physical and social environments. The content is modified during the presentation; second reaction data is obtained and analyzed to determine a second user affinity for the modified content. If the affinity is enhanced, the modified content is sent to other users' equipment via a social network. Affinity responses regarding the modified content are analyzed, and a set of users is identified as an affinity group; additional content is transmitted to equipment of the affinity group. Other embodiments are disclosed.

In one aspect, a computing apparatus is configured to represent offer rules based on requirements for the detection of predefined types of events and actions scheduled to be performed in response to the detection of each occurrence of the events. The events are independent from each other in processing and are linked via prerequisite conditions to formulate the requirements of an offer campaign. The computing apparatus is configured to store data indicating the completion statuses of the events and process the events, including the scheduled actions, if any, in an atomic way. Thus, the offer rules can be changed on-the-fly during run time execution by the computing apparatus.