Abstract: The device according to the present invention is configured to be able to communicate with a managing device managed by a retail company that sells a product, and the device comprises: delivery means for delivering an instruction that at least describes promotion work for promoting a sale of the product, to the managing device; reception means for receiving one or more evidences showing a result of the promotion work performed at the retail company according to the instruction, from the managing device; and calculation means for calculating a degree of achievement of the promotion work at the retail company based on the one or more evidences.

Abstract: The pull-type searching system provides an effective and efficient way to navigate deals and assist the user in identifying a deal for selection. The pull-type searching system further enables identification of one or more alternative deals to present to the user when no deals are identified for the selected search criteria. The pull-type searching system includes a method and apparatus. The method includes communicating ordered selectable search criteria, the search criteria including one or more categories, subcategories and deal types based on a user profile or available deals, or redemption goals. The method further includes receiving a selection from the search criteria and searching a deals database for results associated with the selection. Further, the method includes communicating the results associated with the selection, one or more alternative categories, or one or more alternative deals. A similar apparatus is provided.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers.

Abstract: Systems, apparatus, and methods for providing promotion sharing between consumers are discussed herein. Some embodiments may include a system including circuitry configured to generate an incentive token for a promotion of a merchant. The incentive token may be associated with a first consumer account and provided to a first consumer device associated with the first consumer account for sharing with other consumers. Upon receiving the incentive token form a second consumer device associated with a second consumer account, the circuitry may be configured to enable the second consumer account to receive an incentive value of the incentive token if various conditions are satisfied. For example, the second consumer may be asked to purchase the promotion, create a new consumer account, or the like.

Abstract: Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting content items for presentation along with publisher resources. In one aspect, a method includes receiving a request for a content item for presentation at a user device with a publisher resource; receiving, from a content item provider a first selection value for each of a plurality of content items provided by the content item provider; determining, for each of the content items and using accessed distribution parameters, a second selection value distinct from the first selection value; and determining, for each of the content items and independent of a bid corresponding to the content item, a combined selection value based on the first selection value for the content item and the second selection value for the content item.

Abstract: Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

Abstract: A data enrichment system for enriching requests for advertising opportunities. The data enrichment system is configured to aggregate and index data to provide end user insights to marketers based upon information supplied by publishers in regards to advertising opportunities passed along in requests. The system is configured to take attributes passed along in a request associated with the advertising opportunity and provide enriched data based upon the attributes received in the request. The attributes can then identify corresponding enriched data that can be passed along to the marketers.

Abstract: In one embodiment, an analytics tracking system is disclosed that comprises an interface in electronic communication with one or more consumer devices configured to enable a corresponding consumer to access the interface via a mobile application. The system further comprises a consumer data store comprising data regarding at least one consumer, a movement data store comprising data regarding locations and/or movement of the at least one consumer, and an online behavior data (OBD) data store comprising data associated with browsing and/or application data histories of the at least one consumer. The system further comprises a dynamic analysis system configured to analyze data from the consumer data store, the movement data store, and the OBD data store to generate at least one of custom information for the at least one consumer or identify a location for presentation of information to the at least one consumer.

Abstract: Methods and systems for serving advertisement objects on an advertising platform are disclosed. The advertising platform detects invalid activity related to advertisement objects served in response to a request, and identifies a source associated with the invalid activity. In response to detection of the invalid activity, at least one decoy advertisement object is served in response to further requests originating from the identified source. The decoy advertisement object is an advertisement object that is processed by the advertising platform differently from regular advertisement objects that are served by the advertising platform in response to requests from other sources.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers.

Abstract: A network server for providing web pages to user terminals which access through user identifications (IDs) may include: a communicator connected to a network; and a processor configured to communicate with the user terminals through the communicator. The processor may be configured to score first convertibility points corresponding to the respective user IDs, according to whether actions of the user terminals on the web pages are matched with predetermined user events, select one of the plurality of message types according to whether the first convertibility point of one user ID among the user IDs is higher than a threshold value, when the one user ID accesses through a user terminal, and provide the selected message type including the selected object to the user terminal of the one user ID.

Abstract: Systems and methods for displaying mobile ads on a mobile device of a user are disclosed. In various embodiments, a mobile application (app) is provided to the mobile device for installation, where the mobile app is configured to display mobile ads to a device screen of the mobile device. A server communicatively coupled to the mobile device tracks a reward associated with the user where the reward is based on enabling the mobile device to receive mobile ads. The server transmits one or more mobile ads to the mobile device, which, upon receipt at the mobile device, causes the mobile app to display the one or more mobile ads outside of the mobile app.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

Abstract: A system, method, and computer-readable medium are disclosed for management of a distributed ledger technology customer loyalty program, by establishing a distributed ledger technology network of customer and entity nodes. The entity nodes support products and/or services purchased by customers, providing a distributed ledger technology platform accessible by the nodes. Transactions between nodes go through the distributed ledger technology platform. A distributed ledger technology ledger which tracks the transactions. Coins/credits are provided to customers based on their transactions.

Abstract: Devices and methods are provided for using an interactive wrapper for media content. A method may include identifying, by a first device, a software container including a call to action. The method may include identifying non-interactive advertising content. The method may include generating an interactive advertisement by adding the advertising content to the software container, and sending the interactive advertisement to a second device for presentation. The method may include receiving an indication of a user interaction with the interactive advertisement, and determining, based on the user interaction, an action. The method may include sending data associated with the action to the second device or a third device for presentation.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system based on an analysis of previous consumer behavior. One aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving data representing a user, the data including user identification and historical data; receiving a set of promotions recommended for the user; assigning the user to a consumer lifecycle model state based in part on the historical data and the user identification; selecting a ranking algorithm associated with the consumer lifecycle model state; and ranking the received set of promotions based on a predicted promotion relevance value associated with each promotion, the predicted promotion value being calculated using the ranking algorithm.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.