In an embodiment, one or more ad data sets are received at a first processor. The ad data sets may be partially encoded or encrypted to prevent the processor from viewing certain visitor information. The ad data sets are merged together around common users or order IDs. An attribution credit is applied to each advertising event, creating an attribution data set. The data in the attribution data set is aggregated according to each advertising event, and based on the aggregated results, an advertising recommendation is calculated and sent to the advertising entity.

Systems and methods are described for improving mediated sponsored content networks using a stack trace. One implementation relates to a method running on a sponsored content network and includes receiving a request for a sponsored content item from a user device executing code from a mediation platform. An item is sent to fulfill the request. If the identity of the mediation platform is not known, the sent item includes stack trace implementation code. An identifier is received that is associated with the mediation platform consequent to the user device executing the stack trace implementation code and the identity of the mediation platform is determined using the identifier. A performance metric associated with the determined identity of the mediation platform is identified. The method may further receive a second request for a sponsored content item from the user device and use the performance metric to select the second item.

A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Techniques for providing webpages based on tracking consumer device interactions are discussed herein. Some embodiments may include one or more servers configured to: receive a request for access to a promotion webpage from a consumer device, wherein the request includes a consumer device cookie and the promotion webpage includes an indication of a promotion; in response to receiving the request for access to the promotion webpage, generate the promotion webpage including widgets; generate clickstream data based on tracking widget views of the widgets within the promotion webpage; associate the clickstream data with the consumer device cookie; and generate widget analytic data based on the clickstream data. The widget analytic data may then be used to populate webpages with widgets to optimize various criteria, such as widget views or promotion purchases.

Disclosed herein are system, method, and computer program product embodiments for automatically generating tiles. An embodiment operates by detecting a first node of a model has been populated with a first plurality of data values from a first online tool. The embodiment selects a tile logic block corresponding to the first node from a plurality of tile logic blocks. The embodiment generates a first tile associated with the first node by executing the tile logic block based on the first plurality of data values. The embodiment inserts the first tile into a dashboard configured to display a plurality of tiles. The embodiment then sends the dashboard for display.

A sales gateway controls transactions between advertising buyers and advertising platforms. A server coupled to the first and second interfaces implements a sales gateway to control transactions between the at least one advertising buyer and the at least one advertising platform responsive to a stored set of instructions. A memory coupled to the server stores the set of instructions for implementing the sales gateway. The stored set of instructions configuring the server to generate a link to provide a particular service responsive to a user request. The server validates information relating to a proposal and submits the proposal via the first interface using a pre-buy/proposal service of the sales gateway. The server transfers media content from the at least one advertising buyer to the at least one advertising platform using a media service of the sales gateway. The server submits instructions for running the media content on the at least one advertising platform from the at least one advertising buyer to the at least one advertising platform using a creative instructions service of the sales gateway. The server submits campaign performance results from the advertising platform to the at least one advertising buyer using a post buy service of the sales gateway.

Embodiments for implementing intelligent advertisement effectiveness and impact evaluation in a computing environment by a processor. A degree of impact and a degree of distribution of one or more communication campaigns upon a targeted entity may be identified according to a user persona, one or more communication rules, security factors, or a combination thereof.

A computer-implemented method is provided for identifying trends. An exemplary method includes: receiving search data indicative of a plurality of searches conducted; categorizing the search data based on a plurality of categories of goods or services or information; receiving a first input indicative of at least one of the categories; receiving search engine data relating to searches relevant to the category; comparing the search engine data to historical search engine data associated with a different time period to determine an anticipated trend for a coming time period; generating a plurality of visual representation; selecting a first term; selecting a second term; collecting a plurality of conversational information; determining whether a select number of the conversational information are related; collecting related content information; determining trends over time data; and displaying a third visual representation of the plurality of visual representations indicating trends over time using the trends over time data.

In an embodiment, the disclosed technologies include determining a digital identifier, computing, using aggregate digital event data obtained from at least one computing device, digital feature data relating to the digital identifier, inputting the digital feature data relating to the digital identifier into a digital model that has machine-learned correlations between digital feature data and digital propensity prediction values, receiving, from the digital model, a predicted propensity value associated with the digital identifier, determining a propensity score based on the predicted propensity value, causing a digital content item to be displayed on a user interface of a network-based software application associated with the digital identifier if the propensity score satisfies a propensity criterion.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.