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.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

The embodiments disclose a database and file management system including a digital platform configured to receive at least one advertiser digital initiative, a remote server configured to receive at least one advertiser digital initiative, a plurality of databases with a file management system configured to store known measurable metrics as files of at least one advertiser digital initiative message displayed for at least one health care provider, a processor configured to measure existing metrics of the at least one health care provider after the digital initiative message is displayed to the at least one health care provider and an intent to prescribe processor configured to calculate an intent to prescribe score based on comparing the known measurable metrics with existing the measured metrics and analyzing the comparison to determine a predetermined range of the intent to prescribe score for the measurable metrics for use by the advertiser.

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 apparatus, including computer programs encoded on a computer storage medium, for adjusting physical location usage for a plurality of particular locations. Methods can include obtaining a three-dimensional (3D) representation of the given geographic area, wherein the 3D representation depicts a view of the given geographic area from a specified viewing perspective. For the given geographic area, traffic data is obtained indicating different traffic volumes during different time periods and one or more traffic characteristics. The 3D representation is segmented into a plurality of particular locations. For each particular location among the plurality of particular locations and based on the traffic data, a viewability score is determined that indicates an aggregate amount of time that the particular location is viewable by traffic passing the different locations. Physical location usage is then adjusted based on the viewability scores for the plurality of particular locations.

Systems, methods and computer-readable storage media for determining an outcome of a content promotional message are described. For example, a media network may be configured to transmit content to a plurality of content playback devices, such as a television or a computing device. The content may include a content promotion message configured to promote content, such as a television program or a website, available through the media network. The content promotion message and the content may be associated with network identifiers generated by the media network for tracked content. When the content is played by the content playback device, a device identifier may be generated for the content. The device identifiers may be compared with the network identifiers to determine which, if any, content tracked by the media network has been played by the plurality of content playback devices.

Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.

Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.

Anonymized data including multiple ad events is received at an attribution processor, along with a user ID and an ad ID. Each user ID has been anonymized with a one-way encryption key, and each ad ID has been anonymized with a two-way encryption key. A user ID and a customer value is received for a plurality of customers, the customer data being anonymized using the one-way encryption key for each user ID, and the two-way encryption key for each ad ID. Matching ad events are identified per conversion by comparing the user IDs in the encrypted ad data set to the user IDs in the encrypted customer data set. A customer value is then assigned to each ad event, and the customer values are summed for each ad ID across contributing events to create a converting ads data set. A recommendation is determined based on the summed values.

An information processing system includes: an acquirer that acquires first information relating to an advertisement; a determiner that determines, based on the acquired first information, whether or not to create a product to be created by an image forming apparatus as a product of which an advertising effect of the advertisement can be measured; and an output section that outputs a result of the determination.