Systems and methods are disclosed for determining an estimate of available user impressions on a network, comprising receiving a request for an estimate of available user impressions for viewing one or more media elements on a network, the request comprising one or more viewer demographic group limitations. A request may be received to include deterministic users and probabilistic users in the estimate of available user impressions. A number of deterministic users may be determined based on query results from a deterministic user data set. A number of probabilistic users may be determined based on query results from a probabilistic user data set, and the estimate of available user impressions may be determined based on the number of deterministic users and the number of probabilistic users.

An advertising effect prediction device includes: a construction unit that converts layout information of delivered manuscript into a graph structure through collation with a flow line of a user using a scheme related to a GNN based on delivery setting information and delivered manuscript information, derives a feature quality of each node in the graph structure, and performs machine learning using the feature quantity as an explanatory variable and a click through rate performance value of each delivery as an objective variable to construct a prediction model for predicting a click through rate; and a prediction unit that converts the layout information of the delivered manuscript into a graph structure using the same scheme based on the delivery setting information and the delivered manuscript information and inputs the feature quantity to the prediction model, to obtain a click through rate prediction value related to a target delivery.

An information processing device includes a video obtaining unit that obtains a video of the outside of a vehicle as taken by a camera installed in the vehicle; a position information obtaining unit that obtains the position information of the vehicle; a person detecting unit that detects persons based on the face images included in the video obtained by the video obtaining unit; an eye gaze direction determining unit that determines the direction of eye gaze of each person detected by the person detecting unit; a degree-of-interest determining unit that, based on the directions of eye gaze as determined by the eye gaze direction determining unit, determines the degrees of vehicle interest with respect to the vehicle; and a route setting unit that associates the position information and the degrees of vehicle interest, and sets a route that should be taken.

Systems and methods are provided for discovering advertisements on publisher web pages and for identifying placement pathways by which discovered advertisements have been placed on the publisher web pages. An advertisement tracking and discovery system may use multiple web crawler applications to explore multiple publisher websites. The web crawler applications may gather advertisement data that includes times associated with each request made by the web crawler application. The system may use the gathered advertisement data and the times associated with each request to determine the placement pathways by which discovered advertisements have been placed. Each placement pathway may include one or more advertising channels or combinations of advertising channels. The system may accumulate and aggregate advertising data associated with the advertisements and the placement pathways and display the aggregated advertising data to a customer.

A real-time mobile multi-media content management and communications system for marketing and engagement. The system comprises a processor, a storage and instructions for a multi-media user interface module, a multi-media content collection module, and a multi-media templating module, a communications module, where the modules provide a user with real-time multi-media content management to market and engage third parties.

Method and arrangements are provided to generate supplemental analysis modules for items of invitational content, the modules including an event dictionary and event handlers. Such modules are configured to collect event information at an end user device associated with the operation of an item of invitational content, determine whether the event information corresponds to an entry in the event dictionary, and, upon determining that the event information corresponds to an entry, identify an event handler corresponding to the entry and routing the event information to the event handler, where the event handler is configured for generating an event message.

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.

A system and method for generating advertisement automatically are provided. The system may comprise at least one computer-readable storage medium including a set of instructions; at least one processor in communication with the at least one computer-readable storage medium, wherein when executing the set of instructions, the at least one processor is configured to cause the system to generate a first plurality of ads, the first plurality of ads including a first plurality of advertisement elements and a first plurality of information components; transmit, via a network, the first plurality of ads to a first group of user terminals; determine at least one of a click-through rate, a number of impressions, or a conversion rate for the first plurality of ads; and analyze the at least one of the click-through rate, the number of impressions, or the conversion rate of the first plurality of ads.

According to a first aspect, there is provided an advertising campaign analyser comprising: at least one processor; and at least one memory including computer program code; an input port coupled to the processor; the at least one memory and the computer program code configured to, with the at least one processor, cause the analyser at least to: receive, through the input port, advertising campaign data extracted from a response to advertising material belonging to an online advertising campaign, the advertising campaign data comprising at least one recipient account to which the advertising material is delivered; receive, through the input port, payment data generated from purchases made at a merchant participating in the online advertising campaign; analyse the received advertising campaign data and the received payment data to identify data fields from the received payment data that establishes a correlation to the at least one recipient account from the received advertising campaign data; generate statistical data related to purchases attributable to the online advertising campaign, the attribution being based at least partially on a degree of the established correlation; and compile a report containing one or more of the generated statistical data.

An online system evaluates the efficacy of one or more content placement slots within a content publisher in a publisher's page layout. To evaluate the efficacy of the content slot, the conversion rate at the slot and in a benchmark for selected content items published at the slot is identified to determine the ratio of conversions at the publisher slot and in the benchmark. For different content items, these conversion ratios may vary, and may further be weighed by a value contribution for each content item. Thus, to determine the value of the conversion ratios for a given publisher, the online system uses information about online system users and their interactions with third party content featured within different locations, or placements, within the publisher's page layout. The arrangement of slots in relation to one another can be manipulated by the publisher to yield optimal conversion rates for featured slots. For example, the publisher may reposition slots within a given page, or relocate slots to other pages, in order to increase conversion rates.