Server side content impression progression tracking is performed using ping triggers and pings. A server generates ping triggers for content based on an impression list from a configuration provided by the content originator. The server sets different times at which the ping triggers are to fire during content playback. When media playback on a client reaches a time set for a ping trigger, the ping trigger causes the client to return a ping to the server to indicate that playback has reached the designated time. In this manner, the pings granularly track content viewership on different clients, wherein the granular tracking measures not only whether content was viewed or not, but also how much of the content was viewed. Subsequent content to a particular client can be customized based on preferences derived from pings tracked from the particular client.

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.

An embodiment may involve receiving, from one or more server devices, representations of past amounts spent on paid search engine listings for a web site and representations of paid search conversions involving the web site that are attributable to the paid search engine listings. The embodiment may also involve receiving representations of past amounts spent on the display promotions for the web site and representations of display conversions involving the web site. The embodiment may also involve receiving a request for a graphical representation of the cross-channel performance of the web site with respect to conversions. In response to receiving the request for the graphical representation of the cross-channel performance of the web site, the computing system may transmit the graphical representation of the cross-channel performance of the web site.

Systems and methods for targeted advertising to specific consumers are disclosed. A system may include a memory storing instructions and at least one processor configured to execute the instruction to: receive, over a network, client-provided data from a client device; identify at least one consumer by comparing the client-provided data against consumer data recorded in an electronic consumer database; obtain at least one unique consumer identifier for the identified at least one consumer, the at least one unique consumer identifier not including personal identifiable information; generate a target audience pool based on the at least one unique consumer identifier; and deliver, over a network, the target audience pool to the client device to facilitate targeted advertising to specific consumers.

The present teaching relates to method, system, and medium for profiling accounts. A plurality of identifiers are obtained, wherein each of the plurality of identifiers is associated with one of a device operated by a user and a platform on which the user consumes content in one or more media types. An account corresponding to the user is created, wherein the account represents the user across devices, platforms, and/or media types. A persistent identifier is generated for the account, wherein the persistent identifier links the plurality of identifiers. Consumption data related to the account with the persistent identifier is obtained. The consumption data is gathered from sources associated with the plurality of identifiers across different devices, platforms, or media types, and the account is profiled based on the obtained consumption data.

Techniques and systems are described for analyzing components of digital content. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital content.

Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided. In some embodiments, the method comprises: receiving conversion information corresponding to test group including consumers that were presented with an advertisement using an advertising channel; receiving advertisement viewability information indicative of a probability that each of the consumers viewed the advertisement; determining that a subset of the consumers did not view the advertisement based on the probability; placing the consumers into a control group and a test group based on the probability corresponding to each of the consumers; calculating a causal conversion metric based on a comparison of the conversion information corresponding to consumers of the control group and conversion information corresponding to consumers of the test group; and determining whether to place an advertisement using the advertising channel based on the causal conversion metric.

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

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.

Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.