Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for updating campaigns. A content sponsor is identified that has one or more campaigns for presenting content to users. A prompt is provided to the content sponsor to provide one or both of conversion value information or estimates for one or more conversion actions, the estimates being for actions that are currently unable to be directly measured. The estimates are received. Rates for conversions are determined for each of the one or more conversion actions, including using the estimates and interaction data associated with the one or more campaigns to determine the rates. The determined rates are used to make a suggestion or automatically adjust one or more parameters associated with the one or more campaigns.

A system and method for providing advertising server optimization for online computer users is disclosed. A particular embodiment includes obtaining an advertisement; defining a set of features of the advertisement; generating a predicted click through rate (CTR) corresponding to the advertisement based in part on the set of features; ranking the advertisement based on the generated click through rate; and serving the advertisement based on the ranking.

A method that incorporates teachings of the present disclosure may include, for example, transmitting media content to a group of set top boxes for presentation with an overlay superimposed onto the media content, where the overlay can include a timeline corresponding to the presentation of the media content and receiving a first comment from a first set top box of the group of set top boxes, where the first comment is presentable with the overlay and the media content by the group of set top boxes. Additional steps can include receiving a tag generated at a first set top box during presentation of the media content, presenting the tag while the media content is presented, correlating the tag to a portion of the media content timeline and analyzing metadata associated with the portion of the timeline that is tagged to determine a first marketing parameter. Other embodiments are disclosed.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

Embodiments provide computer apparatuses, computer systems and computer-executable methods for generating geographic zone information associated with a consumer. A method includes receiving a first geographic location associated with the consumer, and programmatically identifying a first geographic zone associated with the first geographic location. The method also includes programmatically generating a first importance score associated with the first geographic zone and associated with the consumer. The method also includes storing, on a non-transitory computer-readable medium, the first geographic zone and the first importance score associated with the consumer.

Systems and methods for predicting advertising related inventory and opportunity for advertising campaigns based on metadata and dimensionality reduction are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a prediction request associated with an advertising campaign; determining a metadata set associated with the advertising campaign; generating, based on a machine learning model, an embedding for the metadata set; determining, based on the embedding, at least one embedding associated with at least one advertising opportunity data; generating predicted advertising opportunity data for the advertising campaign based on the at least one advertising opportunity data; and transmitting the predicted advertising opportunity data to the computing device.

A system generates a set of embeddings for known treatments by applying a machine-learned embedding model to descriptions of the known treatments, where these embeddings form a vector space. The system generates an embedding for a new treatment and mapping it within the vector space, and identifies one or more known treatments with embeddings that exceed a similarity threshold with the new treatment embedding. The system accesses performance data for the selected known treatments to assess user response, and identifies a subset of users for the new treatment based on this performance data. The system also creates a content item that incorporates the new treatment, and transmits instructions to client devices of the targeted users to cause the client devices to display the content item.

A computer-implemented method for dynamic link redirection includes receiving a request to display online content to a user, determining a plurality of current content links in the online content, for each current content link among the current content links, performing operations including: obtaining current assessment parameters for the current content link, generating a current assessment for the current content link based on the current assessment parameters, obtaining a plurality of alternative content links based on the current content link, generating a plurality of alternative assessments for each alternative content link among the alternative content links based on respective alternative assessment parameters for the alternative content link, determining a selected content link among the alternative content links based on the current assessment and the alternative assessments, replacing the current content link in the online content with the selected content link, and displaying the online content to the user.

Methods and systems for improved and efficient campaign message management are disclosed. Via an automated process, the system can generate, classify and sort a browsable collection of diverse, high-performing campaign messages, e.g., emails and SMS messages. Such messages can prompt a prospective campaign generator to create quality content for his/her own campaigns. Furthermore, varied and relevant exemplary campaigns can be shown to different users in response to his/her unique needs or expressed interests.

Systems and methods are disclosed for presenting images of multiple, variant user interfaces along with corresponding metrics for concurrent comparison by a user. Client interfaces allow a client to interact with an underlying system and/or application. Examples of client interfaces include webpages that are presented to a client in a client/server system. Embodiments of the disclosed system and method allow user interface designers to directly compare images of variants of a user interface and corresponding metrics with images of one or more other variants on a display. In at least one embodiment, an image of a variant and corresponding metrics are designated as a control against which images of other variants and corresponding metrics are directly compared on the display.