Abstract: An online system receives multiple candidate components for including in content items to be presented to online system users. Upon identifying an opportunity to present content to a subject user of the online system, the online system dynamically generates an optimal content item for presentation to the subject user that includes one or more candidate components. Candidate components included in the optimal content item are selected by predicting an affinity of the subject user for each candidate component. The affinity of the subject user for a candidate component may be predicted using a machine-learned model that is trained using historical performance information about content items including the candidate component that were presented to viewing users of the online system having at least a threshold measure of similarity to the subject user. Components of content items used to train the model may be selected using a heuristic (e.g., Thompson sampling).

Abstract: Systems, apparatus, and methods for providing promotions based on consumer interaction data are discussed herein. Some embodiments may include a system and/or apparatus including circuitry configured to provide electronic user interfaces (or impressions) of promotions to consumer devices and receive consumer interaction data indicating consumer interaction with the impressions. The system may be further configured to determine a selected promotion for providing in a subsequent impression based on the consumer interaction data. For example, the system may be configured to determine a promotion score of available promotion based on consumer interaction data indicating consumer responses to the available impressions. The promotion score may provide a rating by which available promotions may be selected and may be determined based on various criteria discussed herein to provide selected promotions to consumer devices.

Abstract: Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.

Abstract: A device, that is part of a network of nodes that has access to a blockchain, may receive, from a user device associated with an entity, a request for campaign information for a campaign. The request may include data identifying campaign parameters. The device may interact with smart contracts associated with the blockchain to identify individuals to target for the campaign. The smart contracts may be configured to receive the campaign parameters as input and to output an indication of whether campaign preferences are compatible with the campaign parameters. The device may generate the campaign information to include information identifying the individuals targeted for the campaign and information identifying particular campaign preferences found to be compatible with particular campaign parameters. The device may provide the campaign information to the user device to permit the user device to use the campaign information to target the individuals for the campaign.

Abstract: A method, apparatus and computer program product are provided for identifying a service need via a promotional system, and offering the service need to a third party. Promotions may be offered via a promotional system for a consumer to purchase in exchange for a discounted product or service from a provider. Demand information, which may be collected based on promotions and/or other sources. A residual demand may be calculated based on the demand information and available inventory. The residual demand may be utilized to identify a service need. The service need may be identified in a geographic area having a similar demographic to a geographic area having an associated successful promotion. A service need may be provided to a third party or provider, and may indicate the need for a new business or expansion of a current business.

Abstract: The present disclosure is directed toward systems and methods for identifying user segments. In particular, the systems and methods described herein evaluate user session logs to gather media content consumption history information associated with a plurality of users. Additionally, the systems and methods described herein analyze items of media content to identify keywords, genres, and other attributes, and further represent the items of media content as vectors. The systems and methods follow an algorithm to group items of media content into clusters and, based on the clusters of media content, further group users of media content into user clusters (e.g., user segments).

Abstract: In an implementation, guiding a service flow is described. Historical behavior data of one or more users who use a target service is obtained for the target service. The historical behavior data is analyzed to obtain one or more user features. One or more target users are selected from one or more users who do not use the target service based on the one or more user features. Each target user has at least one of the one or more user features. Service flow guiding information is sent to each target user. The service flow guiding information guides each target user to use the target service.

Abstract: The invention pertains to the means of providing advertising and information services and can be used in various environments, where a potential consumer is present and where there is an identifiable mobile device on condition that the advertising media are placed mainly on stands, posts, in and/or on buildings or other structures. In this method, a beacon (beacons) is placed in at least one advertisement medium, which generates a signal at a given periodicity, registers beacon signals with consumer mobile devices, and generates signals initiating the transfer of advertising packages to display advertisements in the advertising medium.

Abstract: A mower may be specifically recommended for a user based on received data associated with a yard of the user. The method may include providing a computing device for a user, and receiving, using the computing device communicating with a computer over a network, particular parameters about the user's yard. The user's yard parameters may be compared with product parameters of mowers stored on a database associated with a retailer. Using the particular parameters about the user's yard received from the computing device, at least one mower matched with the user's needs. The recommendation of the at least one mower may then be provided to the user.

Abstract: Techniques for maintaining information that identifies an association of a virtual asset to an item, updating the association of the virtual asset to a user profile, and generating a recommendation for another item based on the updated association may be described herein. For example, data may be received in response to a user device interacting with a machine-readable identifier of an item. An association of a virtual asset may be updated to reflect that the virtual asset is associated with a user profile instead of the item in response to receiving the data. In some embodiments, a recommendation may be generated and provided to the user device that identifies other vendors or items based at least in part on the updated user profile.

Abstract: Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotions for a provider as well as generating and providing analytics data regarding currently offered promotions in real-time. In providing such functionality, the system can be configured to, for example, monitor and analyze various promotions, including current promotions and analytics data about promotion-related purchases, that enable the system to determine the relative successfulness of a promotion for a provider and/or category of provider. Upon determining what has been more successful or is expected to be a more successful promotion for a provider, the system can present the promotion to the provider for approval and/or make the promotion to consumers programmatically.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the generation of promotions based on promotion templates for the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive promotion data, determine promotion parameters, determine provider service categories, associate at least one promotion template with at least one service category, generate a promotion for a provider, and transmit a proposed promotion to a provider.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: A system and method determine rewards or other incentives for market participants submitting orders for financial instruments on a financial exchange. The system and method determine if orders submitted by one or more market participants are eligible for a reward or other incentive by identifying orders that are at a best bid or offer for a corresponding financial instrument. The system and method determine a number of eligible orders submitted by each of the one or more market participants and applies a reward or other incentive to a particular market participant with the most eligible orders or greatest aggregate size of eligible orders.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: A method, apparatus, and computer program product are disclosed to score elements of a structure database. The method includes accessing a structure database comprising one or more promotion options, one or more promotion option structures, and one or more promotion structures, wherein each promotion structure comprises one or more of the promotion option structures, each promotion option structure corresponds to one or more of the promotion options, and each promotion option is associated with at least one service. The method further includes generating a promotion option score for each promotion option in the structure database, generating, by a processor, a promotion option structure score for each promotion option structure in the structure database, and generating a promotion structure score for each promotion structure in the structure database. A corresponding apparatus and computer program product are also provided.

Abstract: Contextual awareness is used to reveal non-verbal expressions. A current context of a device is evaluated to infer a user's body posture and emotional state. The user's body posture and emotional state may then be used for improved services and targeted advertising.

Abstract: Systems and methods of correlating an online content interaction with an offline content interaction are provided. A data processing system can identify an online conversion by a first computing device of a content item associated with a content provider, provide an online conversion identifier to an offline conversion identification unit, receive from the offline conversion identification unit detection data indicating that the offline conversion identification unit has detected the online conversion identifier on one of the first computing device and a second computing device, and provide the detection data to a content provider computing device associated with the content provider.

Abstract: Enhanced shared media experiences allow viewer's personal devices to receive targeted content. Targeting advertisements and other content to personal devices is cheaper and more effective than broadcast delivery. Advertisers may still target their advertisements during popular programming with purchasing expensive broadcast advertising slots.

Abstract: The rewards program system and method provide an efficient and effective way for customers to enroll in rewards programs, and accrue and redeem rewards at participating merchants. The system generates promotions, analyzes transaction data to identify whether a customer used a promotion, issued by the system (e.g., promotions provider), with a merchant. When the customer redeems a promotion, the system accrues reward amounts in a customer account, and allows the customer to redeem accrued rewards amounts. The system generates credit card profiles and customer profiles, and offers customers subsequent promotions based on the transaction data and/or the customer's customer profile. The system issues the customer subsequent promotions when the amount credited to the rewards account satisfies a redemption threshold. The subsequent promotions may be redeemable at merchants that have promotions issued by the promotion provider, including the merchant where the promotion was used that resulted in the credited amount.