Systems and methods are disclosed herein for providing contextually relevant incentives in real-time to consumers. In one example, the method may include receiving, from a data repository, one or more raw data streams of real time data and determining an identity of the end user based on the one or more raw data streams. The method may further include filtering, using contextual filtering parameters, the received one or more raw data streams to produce filtered data. The method may also include applying a set of rules correlating the filtered data with incentive programs relevant to the filtered data to generate correlated data, and querying the data repository for historical data associated with the end user. The method may also include calculating a propensity score of the end user, and ranking the correlated data. The method may also include sending one or more incentives based on the correlated data ranking.

A digital brand asset system is provided enabling a brand owner to create, distribute, maintain, manage, merchandise and analyze smart brand assets. The system enables distribution and sharing of smart brand assets across the websites. The websites can host webpages containing codes representing the smart brand assets. When a user device retrieves a webpage from one of the websites and renders the webpage, it executes the codes and requests the content of the smart brand assets from a brand asset server. Through the brand asset server, a brand owner can control the content and the presentation of the smart brand asset hosted by the websites, based on various factors such as previous click through rates, aggregated shopper behaviors, geographical locations of the websites or website visitors, categorized types of websites, blacklist of websites.

Methods and corresponding systems for automatic frequency capping provide an automated decision-making process that decides dynamically how often the content of electronic communications from an entity should be sent to any specific customer or potential customer for a particular campaign. An individual customer's or potential customer's optimal electronic communication frequency is determined using machine learning and is based on behavior data. The method may comprise receiving from an entity, content and an audience, that includes at least a particular customer or potential customer, for use for generating electronic communications for the particular campaign; training a model to learn a personalized frequency for sending the electronic communications to each of the audience; based on the trained model, the content, and the audience, creating electronic communications to send to each of the audience; and causing the electronic communications to be sent to each of the audience at a frequency that is personalized.

There is provided a method of calculating a set of sequential adjustments, comprising: designating content variations to clusters of target entities that are compliant with defined target entity feature(s) according to a set of decision rule(s), calculating performance outcome(s) based on an analysis of data collected from execution of the decision rule(s), calculating sequential adjustment(s) of the decision rule(s), according to an analysis of a predicted performance outcome calculated based on assigning content variation(s) to respective target entities according to an adjusted set of decision rules, and wherein each sequential adjustment includes alternative decision rule(s) designating content variation(s) to a respective cluster of target entities that are compliant with entity feature(s), and presenting the sequential adjustment(s) including the target entity feature(s) with which the cluster of target entities is compliant, and alternative decision rule(s) including content variation(s) designated to respective clusters of target entities.

A portable billboard is presented including a portable media projection subsystem to selectively project media and to supply an enablement signal in response to the media being projected. A location device supplies a geographic location of the media projection subsystem. A verifier receives the enablement signal and the geographic location, and supplies verification information responsive to the media being projected from a stationary location for a predetermined minimum duration of time. A communications subsystem receives verification information and either stores the information for subsequent downloads, or transmits the information to a central controlling server. A targeting subsystem permits an entity to select a target stationary location from a plurality of value weighted target stationary locations. The targeting application typically provides a reward in response to a value of the selected target stationary location.

Aspects of the subject disclosure may include, for example, a method, operating at a processing system including a processor, can include receiving a reply message from a communication device responsive to a query signal and including audio information collected at a presentation area, determining consumer presence information at the presentation area according to the audio information collected at the presentation area, determining a probability of a consumer advertising experience according to the consumer presence information, selecting first advertising media from a set of advertising media according to the probability of consumer advertising engagement, and presenting the first advertising media to the presentation area via the presentation system. Other embodiments are disclosed.

Electronic correspondence that includes one or more promotions may be generated for presenting to a consumer. In order to determine whether to present the electronic correspondence to the consumer, the promotions included in the electronic correspondences may be analyzed in terms of a probability the consumer will accept the promotions, a relevance level between the promotions and attributes of the consumer, a relevance level between the promotions and the consumer, a relevance level between the promotions and a set of goals or rules, among other similar terms. After the analysis, a determination may be made whether to send the electronic correspondence to the consumer. Similarly, the analysis may compare multiple electronic correspondences, and determine, based on the comparison, which of the multiple electronic correspondences to send to the consumer.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing a provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.