Abstract: An advertisement mediating system includes: a communicator configured to receive, from a first device, information about content into which an advertisement is to be inserted and information about an inventory included in the content, and transmitting, to one or more second devices, the information about the content and the information about the inventory; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instruction to perform, when a request for inserting the advertisement into the inventory is received from the one or more second devices, a control operation of selecting advertisement content from among a plurality of pieces of advertisement content corresponding to the one or more second devices, receiving the selected advertisement content, and transmitting the advertisement content to a third device that executes the content.

Abstract: Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Abstract: Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

Abstract: In one aspect of the present disclosure, a device includes one or more memories having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive, over a period of time, information regarding transactions conducted in association with a user account; identify a category associated with one or more of the transactions based on the information, wherein identifying yields a number of categories; generate a ranking of the categories based on a transaction parameter; assign a different number of points to corresponding transactions in one or more of the categories based on the ranking, with a highest number of points assigned to the corresponding transactions in at least one category with highest ranking; and apply the corresponding number of points to the user account.

Abstract: A shopper information processing system may include a shopper device associated with a given shopper, and a shopper information processing server. The shopper information processing server may be configured to store shopper information associated with the given shopper on a blockchain, cooperate with the shopper device to store shopper permissions for selectively accessing, on the blockchain, the shopper information, and permit at least one loyalty program to access the selected shopper information on the blockchain based upon the shopper permissions. The shopper information processing server may also be configured to generate a digital coupon based upon an amount of shopper information permitted to be selectively accessed by the at least one loyalty program, and communicate the digital coupon to the shopper device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to improve the impact of digital media. One of these methods includes providing a non-affiliated advertisement to a plurality of users. The method includes receiving indications that a subset of the plurality of users have viewed the non-affiliated advertisement. The method also includes creating a control group for an advertisement from the subset of the plurality of users that received the non-affiliated advertisement.

Abstract: The present disclosure presents systems and related methods for creating real-time predictions. One such method comprises receiving, by a computing device, a first set of data and a second set of data, wherein the first set of data comprises a plurality of items available from a first source for a first set of users and the second set of data comprises transaction purchase data for a second set of users that have reward accounts, utilizing a predictive data model that determines a propensity score for a user from only behavior data that is not attributed to the user; receiving a third set of data from a third source comprising social media channel data for a third set of users; and updating the predictive data model to determine the propensity score for the user based at least in part on the third set of data.

Abstract: A promotion processing system may include a user device associated with a given user, and a promotion processing server configured to generate promotional content. The promotional content may include a link to a given image corresponding to a digital promotion. The promotion processing server may also communicate the promotional content to the user device. The user device may communicate a request to the promotion processing server for the given image based upon the link, and communicate a user identifier associated with the given user to the promotion processing server. The promotion processing server may select the given image based upon the link and the user identifier, communicate the given image to the user device for viewing with the promotional content, and save the corresponding digital promotion to a digital wallet associated with the given user based upon the image being displayed at the user device.

Abstract: A device may receive and transform metric data and share of voice data, associated with digital marketing by an entity, into transformed data, may generate model data from the transformed data, and may divide the model data into training data, test data, and validation data. The device may train models, with the training data, to generate training results, and may process the test data, with the models, to generate test results. The device may process the validation data, with the models, to generate validation results, and may select a first model, a second model, and a third model based on the results. The device may utilize the first model to predict a share of voice, and may utilize the second model to predict a click through rate. The device may utilize the third model to predict a conversion rate, and may perform actions based on the predicted data.

Abstract: Systems and methods are described for identifying a subset of interest from a general population and for monitoring a database of daily activity logs associated with the general population in order to identify database entries indicative of an occurrence of a pre-defined trigger event that is associated with a member of the subset of interest. In particular, systems and methods are described that allow a massive database of daily activity logs to be monitored to identify trigger events that have occurred within the past twenty-four hours or other very recent time period. Embodiments are described that may be advantageously used by a provider of credit-related products and/or services who wishes to accurately target prospective customers, identified by the system, based on occurrence of a trigger event, as being in a decision-making phase of credit shopping, for purposes of making a timely and targeted offering relevant to the customers' current activities.

Abstract: Systems, methods, and media are disclosed for tracking viewability of content, such as Internet content, by associating a color-changing animated image file with the content and determining, based on whether color of an image is changing, whether the content is in a viewable region of a browser.

Abstract: A system and method for processing a transaction in connection with a loyalty rewards program comprising identifying at least one individual associated with said transaction, communicating associated information to a processing component that includes rules and logic associated with said loyalty rewards program, determining an eligible amount associated with said transaction for at least one promotion, determining at least one reward based on said eligible amount and said at least one promotion, and storing detailed, comprehensive, line item information associated with the transaction. Said system and method may further comprise determining an owed amount associated with at least one loyalty provider based on said rules and logic and charging said at least one loyalty provider for said owed amount.

Abstract: Systems and methods for subscription-based product referrals are provided. In example embodiments, a user request to refer a subscription is received. A user selection of a social network connection having a social network relationship with the user on a social network service is received. A referral request is transmitted to a device of the social network connection. Acceptance of the referral request is determined. Based on determining acceptance of the referral request, a credit is provided to the user.

Abstract: This disclosure relates to providing content (e.g., marketing content) to an individual based on a psychographic profile of an individual. The method includes obtaining a psychographic profile of an individual. The psychographic profile comprises one or more psychographic dimensions associated with the first individual and a psychographic profile group. A psychographic dimension corresponds to at least one of an interest, an attitude, an opinion, a value, a behavior, or an activity of the individual. Content (e.g., marketing content) is received, the content being associated with a psychographic profile group corresponding to the psychographic profile of the individual. The content is provided to the individual based on the associated psychographic profile group of the content and the associated psychographic profile group of the individual.

Abstract: A product exchange system may include a first purchaser device associated with a first purchaser, and a second purchaser device associated with a second purchaser having a shipping address. The system may also include a product exchange server configured to obtain image data of a purchased product for return from the first purchaser device, and determine, using a machine learning algorithm, a product condition of the purchased product for return based upon the obtained image data. The server may also determine, using the machine learning algorithm, a resale price of the purchased product for return based upon the determined product condition, and operate an electronic marketplace for resale of the purchased product for return at the resale price. The server may also communicate the shipping address to the first purchaser device based upon a purchase of the purchased product for return by the second purchaser in the electronic marketplace.

Abstract: The present disclosure relates to systems and methods for automatic attribution modeling and measurement. In aspects, a system may receive identification information associated with profiles and electronic devices that were exposed to a certain piece of targeted content. The demographic and device data associated with the individuals who were exposed to the targeted content are used to create a control group of individuals who were not exposed to that targeted content. The real-world visit rates of the exposed group and the control group to one or more locations may be monitored over a period of time (or campaign) and evaluated to assess the effectiveness of the targeted content.

Abstract: A system for using metadata from a video signal to associate advertisements therewith, comprising (i) a segmentation system to divide the video signal into video clips, (ii) a digitizing system for digitizing the video clips, (iii) a feature extraction system for extracting audio and video features from each video clip, associating each audio feature with respective video clips, associating each video feature with respective video clips, and saving the audio and video features into an associated metadata file, (iv) a web interface to the feature extraction system for receiving the video clips, and (v) a database, wherein video signals and associated metadata files are stored and indexed, wherein the associated metadata file is provided when a video player requests the corresponding video signal, enabling selection of a relevant advertisement for presentment in conjunction with respective video clips based on the associated audio and video features of the respective video clip.

Abstract: Methods for creating and updating rules for distribution of an online advertising inventory. The methods can include generating a rule conditions section of a GUI that is configured to display a plurality of parameters of a rule condition of a rule for distribution of an online advertising inventory. Each displayed parameter of the rule condition can be graphically represented by a basic shape (e.g., a hexagon). And, each basic shape of the rule condition can be labeled with an alphanumerical indication of the graphically represented parameter and can also be clustered together in the GUI. The methods can also include generating a rule summary section of the GUI that is configured to display a plurality of rule conditions of a rule. The methods can also include generating a rules list section of the GUI that is configured to display a plurality of rules for distribution of inventory.

Abstract: A smart, movable closure system that allows access to the interior from the exterior of the cabinet, is disclosed. In some embodiments, the movable structure may be coupled with a cabinet interior that is adapted to be kept at a temperature cooler than the exterior cabinet ambient temperature, for example, to store perishable consumer goods in a retail setting. In particular, the smart, movable closure system may include electronic components that display graphical renderings corresponding to one or more products stored in the retail product container. In addition, the smart, movable closure system may include a controller that that determines an inventory status of products in the closure system, and based on the determined inventory status, controls the graphical renderings.

Abstract: A method for processing a transaction initiated using an electronic wallet application may include storing a virtual payment device configured to initiate a transaction. A rewards inquiry may be communicated to an issuer. A rewards inquiry response may be received from the issuer containing a rewards amount associated with the virtual payment device. The rewards amount may be displayed. A transaction may be initiated with a merchant using the virtual payment device. A redemption request may be communicated to the issuer. A redemption response including an updated rewards amount may be received from the issuer and include a difference between the rewards amount and the rewards amount applied toward the transaction. A system and computer program product are also disclosed.