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.

An online system communicates a lead generation message to a client device associated with a user. The lead generation message includes a selectable option authorizing a third-party entity to open a channel of communication with the user. If the online system receives from the client device an interaction with the selectable option, the online system sends a notification to the third-party entity indicating that the user associated with the client device interacted with the lead generation content item. The third-party entity may then send a request to the online system to send a message to the user via a messaging system controlled by the online system. The online system thus enables the third-party entity to communicate with the user via the messaging system. The online system then uses information about the communication to train a model to optimize the selection of lead generation messages to users.

The present invention relates to systems and methods for nutrient scoring according to labelled nutrients on a food or beverage product. The advantage of the present invention and its systems and methods for nutrient scoring is that it permits a simplified way of assessing the nutrient profile of a food or beverage product only based on the labelled nutrients.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

Systems, methods, and computer-readable media for cooperative decision making in a social network include identifying a potential match between a first individual and a second individual based on interests of the first individual, receiving, from a first client device associated with the first individual, a request for input regarding the potential match, and, in response to the request, identifying other individuals for providing input to the first individual regarding the potential match, supplying profile information for the second individual to client devices associated with the first individual and the other individuals, enabling network communication between the first individual and the other individuals for providing the input to the first individual regarding the potential match, and receiving a vote to connect the first individual with the second individual from the first client device or at least one of the other client devices.

A non-transitory storage medium stores a program causing a computer to implement a process. The computer is a user terminal connected via a network to a first server that distributes contents and a second server that transmits a push notification. The process includes: generating key information that defines validity of distribution reception of the contents to a first server in response to an access to a web page of a site where the first server distributes the contents; storing the generated key information in a storage unit; receiving a push notification from a second server; detecting an operation for linking to an advertisement page from the push notification; and updating the key information on the basis of the detection of the operation.

A method comprises receiving an ad event data including data about a plurality of ad events, and including a user ID and an ad ID for each ad event in the ad event data set, where the ad event data set has been anonymized applying a one-way encryption key for each user ID in the ad event data set, and a two-way encryption key for the ad ID in the ad event data set. The attribution processor receives a customer data set including data about a plurality of customers, including a user ID and a customer value for each customer, where the customer data set has been anonymized using the one-way encryption key for each user ID in the data, and a private encryption key for the customer value. Without decrypting the received ad event data set and the received customer data set, the processor then matches ad events for each conversion by comparing the user IDs in the encrypted ad event data set to the user IDs in the encrypted customer data set to create a set of contributing ad events, assigns a share of the customer value to each relevant ad event, sums homomorphically the encrypted customer values for contributing events, and determines a recommendation for serving advertisements.

A method is provided. The method comprises: obtaining, from a data source computing system and by a data filter analytics computing system, event information associated with one or more events; determining, by the data filter analytics computing system, a dynamic data filter for the event information; generating, by the data filter analytics computing system, customer information based on filtering the event information using the dynamic data filter; and causing, by the data filter analytics computing system, display of the customer information on a user device, wherein the customer information comprises a configurable graphical representation of the customer information.

Systems and methods are provided for providing targeted marketing to goods and services provides and consumer resource management services to consumers. An example system and method for targeted marketing comprises collecting transaction data from point-of-sale (POS) terminals and using a consumer identifier in the transaction data to access stored information about the consumer. This information may be used to target offers and advertisement to the consumer. In an example system for consumer resource management, a consumer may configure a consumer account on the enterprise infrastructure via a web-site. The consumer may use the consumer account to purchase and configure gift cards that may be used for purchasing goods and services. A universal transaction identifier may be associated with the consumer account and used to purchase goods and services from more than one selected goods and services providers.

According to some aspects, disclosed methods and systems may include storing, in a local storage of a device, a plurality of advertisements; and outputting for display first content comprising a first portion of a first set of advertisements associated with a first campaign period. The disclosed methods and system may also include, in response to an expiration of the first campaign period, outputting for display second content comprising a second portion of the first set of advertisements based on a first set of one or more advertising rules.