Abstract: A system and method that engages consumers in a consumer game experience that isolates member preferences and fills in the social graph/personal profile of the consumer, to aid in the targeting of various forms of content to the consumer.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of accessing purchase information history from a website of an online retailer, training a first machine learning model configured to obtain first population demographic data for first products, coordinating a display of an advertisement associated with the first products on social media webpages of new users corresponding to at least a portion of the first population demographic data, receiving an indication that some of the new users selected the first advertisement, accessing additional information of the new users, training a second machine learning model configured to obtain additional data for the one or more first products, and coordinating a display of the first advertisement associated with the first products on additional social media webpages of additional new users.

Abstract: Various approaches enable the detection of “viewed” content. For example, in digital advertising, when a user visits a web page, the web page can be rendered with an advertisement. Content is considered viewable when a user is given enough opportunity to view the content. Approaches described herein attempt to determine whether a user was given an opportunity to view such of such content by determining and using at least one of a viewability metric, performance activity level metric, snapshot of the content, or combination thereof.

Abstract: A mobile loyalty system for preventing fraudulent redemption of a reward is disclosed which comprises a mobile communication device having a screen and configured to run a mobile application for obtaining a code representative of a visit to a merchant, the mobile application for transmitting information associated with obtaining the code representative of the visit to the merchant and for receiving information associated with a reward to be redeemed at the merchant, the screen for displaying the reward to be redeemed and a motion element for preventing fraudulent redemption of the reward.

Abstract: A system and method for providing personalized recommendations or promotional information to consumers based upon a recommendation algorithm selected from a number of recommendation algorithms, by matching personal contextual information of each consumer to detailed contexts in which each recommendation algorithm exhibits optimal performance with regard to particular business performance measures.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives.

Abstract: According to a preferred aspect of the instant invention, there is provided a system for effective monetization of product marketing in software applications by monitoring audio content preferably on mobile devices. A developer of applications for mobile devices is provided with the ability to integrate the system into the application. The audio content is analyzed, recognized and send to a server, on which data associated with the current product marketing campaign and related to the detected data is selected and send to the application, on which the data is automatically integrated into a plurality of different product marketing capabilities for example the provision of a quiz, or of advertisement graphics requesting interaction from the consumer. The data from that interaction is send back to the server wherein it is further processed and analyzed. Additionally the consumer receives a defined value providing an incentive to participate.

Abstract: Systems and methods for engagement-based routing transportation services are disclosed. A method includes establishing a communication session between a server computing device, client computing device, and plurality of geographic routing entities. The method further includes receiving a request for the geographic routing system from the client computing device. The method further includes identifying ones of the geographic routing entities within a determined geographic distance of the client computing device and obtaining a plurality of scores and a plurality of geographic distances from the client computing device. The method further includes transmitting the request to one or more of the identified geographic routing entities. The method further includes receiving acceptances of the request from at least a subset of the identified geographic routing entities.

Abstract: A method and system for presenting a promotional offer based on detected data. Data that is generated by at least one device detecting one or more physical actions performed by a person is obtained. The device is located in a same physical environment as the person. The data is analyzed to determine that a probability of an undesired action, by the person, is above a threshold value. Responsive to determining that the probability of the undesired action is above the threshold value, a promotional offer is presented to the person. The promotional offer lowers the probability of the undesired action by the person.

Abstract: Certain embodiments herein relate to dynamically updating a software application to utilize new advertising capabilities or features at runtime. A software application may be developed using libraries in a software development kit (SDK) that include particular functionality related to advertising. As new ad related features become available (such as displaying or handling new ad types or tracking new metrics associated with ads), the new features may be injected or loaded into the application at runtime. Such loading may configure a device running the application to take advantage of the new ad features without re-downloading, reinstalling, or performing other initialization functions associated with the application and/or its library functions.

Abstract: Technologies are provided herein for distributed promotion management. According to a method for distributed promotion management, a device identification may be provided by a consumer electronic device that may comprise a dispensing device. An event notification may be received at the consumer electronic device. The event notification may be based upon the provided device identification. A promotional screen may then be displayed. The promotional screen may comprise a limited time offer section displaying a limited time offer. The limited time offer may be based on the received event notification.

Abstract: Databases storing digital fingerprints of physical objects enable enhanced security and collaborative authentication. Digital fingerprints enable reliable identification of an object without the need for attaching or associating physical tags, labels or other identifying materials with the object; and serialization for identification also is obviated. By combining digital fingerprinting and data collaboration in one process, parties to the data collaboration can gain a level of certainty that data attributed to an object by different parties or at different times is attributed to only that object and not erroneously attributed to an incorrect or counterfeit object. Collaborative authentication platforms and processes, combining digital fingerprint databases with associated incentive databases, contribute enhanced information to the authentication databases, and provide unparalleled reliability and enriched metadata to supply chain tracking, detecting counterfeit objects, and other applications.

Abstract: Systems and methods for facilitating online to offline commerce are disclosed. In one embodiment, a system configured to receive a request to check-in a customer at a merchant facility is disclosed. The system receives a request to access real-time pre-sale transaction data associated with a first customer and transmits the real-time pre-sale transaction data associated with the first customer to a mobile client device. The request to check-in and the request to access the real-time pre-sale transaction data are transmitted by the first mobile client device. The system is configured to authenticate the request to check-in at the merchant facility, process the request to access the real-time pre-sale transaction data, and responsively access the real-time pre-sale transaction data associated with the first customer from a point of sale device located at the merchant facility.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: Methods and systems for predicting content consumption are provided herein. An application log of a user, comprising a user's application data, and a viewing log of the user, comprising the user's viewing data (e.g., television programs watched by the user), may be evaluated over a time period to construct a model. The model may comprise a correlation between the viewing log and the application log during the time period (e.g., what applications the user interacts with while watching a program). Second application data, regarding application usage of a second user, may be extracted. The model may be applied to the second application data to identify an expected viewing action of the second user (e.g., what program the second user is likely to watch during the time period based upon applications used by the second user). The second user may be provided with content related to the expected viewing action.

Abstract: Various systems and apparatus for using quick response codes on negotiable instruments are described herein. A request may be received at a server from a user device, wherein the webpage request includes a sequence identifier, wherein the sequence identifier is associated with a two-dimensional barcode printed on a negotiable instrument. An advertisement from a plurality of advertisements may be selected based on the sequence identifier in the webpage request. The advertisement may be placed within an advertising portion of a webpage and the webpage may be transmitted to a user device.

Abstract: A system and method for modeling customer behavior determines an identified merchant engagement level of at least one customer with respect to an identified merchant based at least partially on transaction data associated with a plurality of transactions between the at least one customer and the plurality of merchants. A peer merchant engagement level of the at least one customer with respect to the at least one peer merchant is determined based at least partially on the transaction data. A loyalty segment of the at least one customer is determined based at least partially on the identified merchant engagement level of the at least one customer and the peer merchant engagement level of the at least one customer. A target action associated with the identified merchant with respect to the at least one customer is automatically initiated, or caused to be initiated, based at least partially on the loyalty segment of the at least one customer.

Abstract: Techniques for providing notifications may be described. In particular, responses to past notifications transmitted from a computer system to a user device associated with a user account may be accessed. A notification profile for the user account may be generated based on the responses. The notification profile may include sequence of time slots to transmit notifications within a time period. A notification topic may also be determined based on past interactions of the user device with the computer system. Notifications corresponding to that notification topic may be scheduled for transmission to the user device based on the notification profile. A response to a transmitted notification may be analyzed to determine whether to change the notification topic. If so, remaining notifications may be updated based on the change before transmittal.

Abstract: Disclosed herein are systems, methods, and devices for generating efficacy metrics. Systems may include a data object aggregator configured to receive a plurality of advertisement data objects characterizing online advertising content associated with at least one online advertisement campaign. Systems may also include an efficacy metric generator configured to generate a plurality of efficacy metrics characterizing an estimate of a probability of at least some of the plurality of advertisement data objects interacting with a target audience, where the generating is based on one or more properties of the plurality of advertisement data objects. Systems may further include a report generator configured to generate at least one report based on the plurality of efficacy metrics.

Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.