Example methods disclosed herein include determining a first time associated with an event notification embedded in primary media received from an online media provider by an audience measurement entity, the primary media also to be distributed by the online media provider to a consumer device, the determining of the first time including rendering a graphical representation of progress associated with presentation of the primary media, the graphical representation having a length and including the event notification at a location, and determining the first time based on the length and the location of the event notification. Example methods also include determining a second time associated with a media feature of the primary media, and indicating, without accessing the consumer device, that secondary media is also to be embedded in the primary media distributed to the consumer device when a difference between the first time and the second time meets a threshold.

There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.

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.

Embodiments of the present specification provide methods for performing marketing cost control by using a deep reinforcement learning system. One method includes the following: determining a cost of a marketing activity; determining a reward score of reinforcement learning that is negatively correlated with the cost; and returning the reward score to a smart agent of a deep reinforcement learning system, for the smart agent to update a marketing strategy, wherein the smart agent is configured to determine a marketing activity based on the marketing strategy and status of an execution environment of the deep reinforcement learning system.

Systems and methods for building a device graph for cooperative device identification are disclosed. Various information is received at a computing system over a communications network, include information defining a relationship between (i) a unique identifier associated with a first device of a user and (ii) a unique identifier associated with the user, and information defining a relationship between (i) a unique identifier associated with a second device of the user and (ii) the unique identifier associated with the user. The unique identifiers associated with the devices are each mapped to the platform-wide identifier based at least in part on the unique user identifier. A device graph comprising a plurality of device nodes is constructed, with related device nodes connected by one or more edges. Nodes representing the devices are linked based on a relationship identified between them using the platform-wide identifier.

An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

Disclosed is a method for providing an advertisement reporting service, the method includes acquiring inventory information corresponding to an advertising unit area of an advertising medium; providing an advertising code being issued from an advertising provider in response to the inventory information to the advertising medium; analyzing real-time impression information for the advertising unit area using traffic information generated according to a provision of the advertising code; and reporting the real-time impression information corresponding to the advertising unit area through the advertising medium.

In general, embodiments of the invention relate to servicing fill request using ad networks and demand-side partners.

Inventory data is stored, wherein the inventory data represents for each of a plurality of broadcast stations a corresponding inventory of audio advertising spots available from that broadcast station to be filled by an advertising placement system. An advertising campaign data representing a set of advertising objectives of an advertising campaign is received. The inventory data is used to iteratively select advertising spots to be associated with the advertising campaign, based at least in part on a respective computed fitness of match between each selected advertising spot and said advertising objectives.

A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with one or more request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to at least a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.