In some aspects, a system for enhancing performance of directed information delivery is provided. In one example, an advertising recommendation server receives an advertisement request including an advertisement for display on at least one of a plurality of webpages and a requested performance of the advertisement. The server extracts context data from the advertisement, and provides the extracted context data to a data model useable to generate predictions of performance of the advertisement when displayed on each of a plurality of webpages, trained based on performance data associated with previous displays of one or more previous advertisements on one or more of the plurality of webpages and context data from the one or more previous advertisements. A webpage is identified that meets expected performance, and a recommendation is provided to a decision platform.

Methods, apparatus, systems and articles of manufacture to estimate and deduplicate audiences are disclosed herein. An example apparatus includes a controller to determine a subunion of at least first and second marginal audiences of media based on of panel data and census data, the panel data including a panel impression count and a panel audience size, and the census data including a census impression count, an audience size calculator to determine a census audience size of the at least the first and second marginal audiences based on the panel impression count and the panel audience size and determine a subunion census audience size, the subunion census audience size corresponding to an overlap between the at least the first and second marginal audiences; and a report generator to generate a report including the census audience size and the subunion census audience size.

Methods, systems, and media for estimating the causal effect of different content exposure levels are provided.

A system for providing loyalty points to one or more customers is described. The system comprises, one or more business devices, one or more customer devices, and a loyalty reward system, where the loyalty reward system communicatively coupled to the one or more business devices and the one or more customer devices. The loyalty reward system is configured to generate digital promotional content based on obtained information associated with one or more attributes of one or more promotional offers provided by a business. The loyalty reward system is further configured to track customer activities associated with the generated digital promotional content. Upon receiving a request from the business device, the loyalty reward system provide loyalty points to the respective one or more customer device, when the one or more customer activities meet predefined activity conditions.

To provide an information distribution management device configured to analyze distribution in consideration of the number of unique users.

An advertisement management device 100 includes a heat map generation unit 101 configured to generate a heat map indicating the necessity of advertisement distribution to a designated target layer for each of a plurality of units of digital signage 300 and for each time slot, a reach curve generation unit 103 configured to function as a viewing estimation unit that estimates the viewing frequency of unique users of the target layer for the digital signage 300 to which the heat map is applied, and an evaluation unit 104 configured to evaluate the heat map on the basis of the number of viewers who are unique users of the target layer (equivalent to viewing frequency) and the total number of viewers who are all users to whom the heat map is applied (viewing frequency).f

A performance internet marketing self-optimizing, anthropomorphic, artificial intelligence-based system and method to quote, compare and purchase products from a provider, including personal lines insurance, commercial lines insurance, property insurance and casualty insurance. The system and method collects information from an online advertising platform during the process and returns the collected information to the online advertising platform for improvement of the online advertising platform.

A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.

Methods and apparatus to incorporate saturation effects into marketing mix models are disclosed. An example apparatus includes means for converting adstock data associated with an advertising campaign into effective reached realized (ERR) data based on a first saturation curve, the adstock data corresponding to adstocked gross rating points generated from marketing mix input data. The apparatus further including means for performing regression analysis to: identify the first saturation curve from among a plurality of plausible curves based on a fit of different ones of the plurality of plausible curves to the marketing mix input data, the first saturation curve to define a relationship indicative of saturation effects of the advertising campaign on a target audience of the advertising campaign; and determine an impact of the advertising campaign on sales during a period of interest based on a regression analysis of the ERR data relative to sales data.

A method to solicit a user generated response to determine if a consumer made a purchase is provided. The method includes retrieving a transaction information when a consumer is in a point of sale at a retail store. The transaction information is indicative of a purchase of one or more items identified with a unique product code. The method also includes providing, to the consumer, a transaction card indicative of at least a portion of the transaction information; requesting, from the consumer, a validation of the purchase and providing the transaction information to a server when the purchase is validated by the consumer. The method also includes allowing the consumer to modify the transaction information upon request. A system and a non-transitory, computer-readable memory storing instructions to perform the above method are also provided.

Apparatuses, methods, and systems for warming new accounts. One system includes a server electronically networked with a user and a plurality of recipients of an electronic mail campaign of the user, the server operating to obtain an initial contact list, check the initial contact list to determine that the initial contact list satisfies an initial set of engagement rules, generate an active contact list comprising modifying the initial contact list when the initial contact list does not satisfy the initial set of engagement rules, electronically send an electronic message campaign to the active contact list, analyze a success of the electronically sent campaign, and adaptively adjust the active contact list according to active engagement rules based on an evaluated success of the electronically sent campaign.