A system and method receive a first signal at one or more processors of a tracking system that indicates automatic detection of presentation of a commercial. The system and method also determine a change in web traffic to a website associated with the commercial responsive to receiving the first signal. The first signal that is received can be imperceptibly encoded in the audio and/or video the commercial or other presentation.

Customers receive advertisements or impressions related to brick and mortar merchants while accessing online content. The merchants or other entities track which impressions correlate with customers coming to a physical store and conducting a transaction (e.g., making a purchase) by comparing transaction information with information about the customer that is provided by the source of online impressions. In one implementation, the merchant creates a hash from the customer's name and account number on a payment card. This hash is compared with a hash from the impression provider that is generated using the same technique. When a match is found, it is inferred that exposure to the online impression caused the customer to make a purchase at the physical store. Merchants may pay the impression providers an advertising or referral fee based on the matches.

Information describing deliveries of content items and user actions associated with the content items is stored. Each delivery is performed by an online publisher to a user. A user action associated with a content item performed by a target user is detected. Information describing a set of online publishers that delivered the content item to the target user is retrieved. For each online publisher of the set, a likelihood that the user action would have occurred without the online publisher's delivery of the content item to the target user is determined. An estimated increase in the likelihood that the user action occurred due to the online publisher's delivery of the content item to the target user is determined. A performance metric is determined for the online publisher, wherein ratios of performance metrics for the set of online publishers are related based on corresponding ratios of the estimated increases in likelihoods.

System and method for remarketing based on a prediction of how a user will interact with previously accessed third-party content based on how the user perceives content viewed on a third-party content provider's web property is presented. A remarketing system communicates a tag for triggering a user identifier and a computer executable code to a user via a third-party content provider system when the user computer accesses content on the third-party content provider system. The computer executable code measures user activities relating to how the user perceives the content. The remarketing system predicts how the user will react to previously accessed third-party content as a function of these measurements. In response to an affiliate web property requesting a third-party content, the remarketing system determines whether to select the previously accessed third-party content. Further, the remarketing system may allow the third-party content provider's bid for selection of the previously accessed third-party content to be adjusted to increase the likelihood of the previously accessed third-party content being selected.

An example involves, in response to a first request from a first client device, logging a first impression in association with a first identifier corresponding to media accessed by the first client device that generated the first request, and sending a communication to the first client device. The communication is to cause the first client device to send the first identifier to a database proprietor in association with a cookie identifier of the first client device. Second impressions are logged in response to second requests received from second client devices. The second impressions are associated with the first identifier and correspond to access to the media by the second client devices. A report is generated based on the first impression and corresponding first demographic information from the database proprietor, and based on the second impressions and corresponding second demographic information from an audience measurement entity different from the database proprietor.

Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned.

A system for tracking and analyzing consumption of consumer goods is disclosed. A transparent electronic display displays advertising content and a sensor tracks whether any of the consumer goods have been selected. A CPU in electrical communication with the sensor and the transparent electronic display stores consumption data regarding the content displayed on the transparent electronic display when the sensor detects that any of the consumer goods have been selected.

Methods and apparatus for determining a unique audience exposed to media while reducing memory resources of a computing device are disclosed herein. An example method includes receiving impression requests at a server from a plurality of client devices via a network; based on the impression requests, logging, with the server, a plurality of impressions corresponding to the media accessed at the client devices; obtaining a number of demographic impressions logged by a database proprietor; obtaining a number of registered users of the database proprietor exposed to the media; multiplying, by executing an instruction with a processor, a number of the plurality of impressions by a square of the number of the registered users to generate a product; dividing, by executing an instruction with the processor, the product by a number of the demographic impressions to generate a quotient; and determining, by executing an instruction with the processor, the unique audience based on a square root of the quotient.

A computer-implemented method of allocating offline advertising, the method including receiving an offer price for audience-member responses for an offline advertising campaign and campaign information describing the offline advertising campaign, comparing the received campaign information to one or more other advertising campaigns to determine a portion of offline advertising inventory to allocate to the offline advertising campaign, and allocating the determined portion of advertising inventory to the offline advertising campaign.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to predict effectiveness of content in electronic messages as a function, for example, modifiable portions of the content. In some examples, a method may include receiving data signals to cause formation of an electronic message, determining a component of the electronic message, identifying one or more message performance criteria, characterizing the component to identify a component attribute, predicting the component attribute matches at least one of the message performance criteria, and transmitting the electronic message.