Among other things, advertisements are received for brands or products of brands. Criteria for placement of the advertisements are received at online retail sites. The online retail sites are controlled independently from one another. Inventory data for the products at the online retail sites is received and stored. Data about propensities of the consumers to favor one or more of the brands or one or more products of the brands, from activities of consumers on the online retail sites, is stored. Activity data about current activities of the consumers on the online retail sites is received. One or more of the advertisements are placed on pages served to the online retail sites based on the placement data, the inventory data, the propensity data, and the activity data. Conversion data is received indicating that consumers engaged in conversion events with respect to products associated with the brands or products of brands being advertised. The brands are charged based on the placing of the advertisements and the conversion events. The online retail sites are paid for the placing of the advertisements and the conversion events.

In general, embodiments of the present invention provide systems, methods and computer readable media for collecting pre-feature data for a promotion, performing analytics on the pre-feature data, predicting the promotion sales velocity based on applying an odds model to the pre-feature data, and determining a quantity of goods to source based at least in part on the promotion sales velocity.

An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented. A machine learning model may be trained using a training dataset comprising features selected from the impression data and tokenized claims data records, to predict bid values or other parameters for use in updating, optimizing or modifying operation of the DSP for the original campaign or for other campaigns.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.

A method for determining a condition under which a sign has been viewed includes receiving a uniform resource locator from a user endpoint device, where the uniform resource locator is embedded in a machine-readable code displayed on the sign, and extracting information from the uniform resource locator, where the information describes the condition under which the sign was viewed by a user of the user endpoint device. A method for transmitting information describing a condition under which a sign is currently viewable includes generating the information describing the condition under which the sign is currently viewable and inserting the information in a uniform resource locator, where the uniform resource locator is embedded in a machine-readable code displayed on the sign.

Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example method includes installing a monitoring enabled application on a media device. Configuration information to instruct the monitoring enabled application to enable monitoring functionality is accessed. A media presentation event is identified within the monitoring enabled application. A media identifier corresponding to the media presentation event when the monitoring functionality is enabled is determined. At least one of a user identifier or a device identifier associated with the media device is determined when the monitoring functionality is enabled. A record is transmitted including the media identifier and the at least one of the user identifier or the device identifier to the audience measurement entity when the monitoring functionality is enabled.

The present disclosure relates to analysis of content to determine an equity index of a brand by building a data record by procuring input data from at least one platform; enriching the data record to remove noise from the input data to obtain an enriched data record; classifying the enriched data record into at least one category of one or more categories to obtain a classified data record; determining a sentiment ratio for the classified data record; determining an engagement metrics for the brand; and determining the equity index for the brand based on the at least one category and the sentiment ratio, the sentiment ratio and one or more variables.

An advertising campaign may be carried out using moving outdoor advertising. Advertisers typically like to manage and track the success of their advertising campaigns. Aspects of the present application may be seen to assist with such management and tracking by providing impression analytics, location analytics, time analytics and frequency reports. Furthermore, aspects of the present application may be seen to provide an ability to augment a moving outdoor advertising campaign with a mobile device retargeting advertising campaign. Then, such metrics as return on investment, profit and gross profit may be tracked. In some aspects, Wi-Fi signals and Bluetooth signals may be collected from mobile devices that are in the range of a Moving Impression Analytics Tracking Device.

In general, this specification relates to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of presenting an ad within a mobile application interface of a mobile device; receiving a user selection of the ad; determining that a browser session is to be initiated in response to the user selection of the ad; generating a request URL, using one or more processors, where the request URL includes a device identifier for the mobile device; and submitting the URL request using the browser including: determining whether an ad cookie associated with the ad exists on the browser, and if the cookie associated with the ad exists, sending an ad cookie identifier along with the request. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.