Patent classifications
G06Q30/0246
AD EXCHANGE BID OPTIMIZATION WITH REINFORCEMENT LEARNING
A system for training a bidding model comprising: a plurality of tactics stored on at least one database; a plurality of hyperparameters; in response to an available inventory from a publisher relayed through a real time bid server, computing a bid on the available inventory; sending the bid to the real time bid server; receiving an auction result in response to the bid; calculating a plurality of rewards based on the auction result and the tactics; calculate a plurality of q values based on the rewards; calculate a plurality of losses; backpropogating the losses through the bidding model.
ADVERTISEMENT TRACKING INTEGRATION SYSTEM
Systems and methods for retrieving, in a first application using one or more processors, a user profile in which the user profile includes a user ID, and the first application includes a first application interface. The systems and methods further include detecting user selection, in the first application interface, of a sync command to a second application, in which the second application includes an executable script associated with the user ID, retrieving the executable script in response to the detecting the user selection of the sync command, integrating the executable script into an HTML interface associated with the user profile, and generating a two-dimensional graphical component in response to the integration of the executable script.
REAL-TIME BIDDING THROUGH PLACEBO-BASED EXPERIMENTATION
Systems and methods for operating placebo-based experiments are described for online advertisements. One or more embodiments of the disclosed systems and methods utilizes an ad swapping approach to offer placebo media exposures, at no additional cost to an advertiser. One or more embodiments further provide a native experimentation platform that allows users to run tests of ad placements to measure the effectiveness of ads and view results displayed on a user interface. The disclosed systems and methods can assign viewers into a test group if shown the test ad or a control group if shown a control ad. The control ad can be provided at no cost to the advertiser for embodiments where the placebo ad belongs to an alternative advertiser. Effectiveness of third party attribution can also be evaluated. The disclosed systems and methods can define experiment parameters, including control frequency, test viewer groups, and control viewer groups.
DETERMINING CAMPAIGN EFFECTIVENESS
A computer-implemented method includes generating a test group for a pointer to information; generating a control group for the pointer to information; receiving conversion information from the test group and the control group; and determining, based on the conversion information, a number of incremental conversions that are attributable to the pointer.
METHOD AND APPARATUS FOR DETERMINING AN EFFECTIVENESS OF AN ELECTRONIC ADVERTISEMENT
According to a first aspect of the invention, a computer-implemented method for determining an effectiveness of an electronic advertisement received at a user device is provided, the method including, at a server: receiving a notification message in response to the electronic advertisement being downloaded; generating a unique identifier and a time stamp in response to the download of the electronic advertisement, the unique identifier identifying the user device, and the time stamp identifying a time at which the electronic advertisement is downloaded; and receiving transaction data relating to a transaction initiated by the user using the downloaded electronic advertisement, the transaction data indicating the electronic advertisement has been used and including the unique identifier and the time stamp; determining the effectiveness of the electronic advertisement based on the transaction data and a relevance score of the user, the relevance score indicating the relevance of the electronic advertisement to the user.
EVALUATION OF ADVERTISING EFFECTIVENESS
A system for evaluating advertising effectiveness operates to generate a customer conversion outcome that shows how effectively a desired outcome has been achieved by an advertising campaign. The effectiveness of advertising campaign can be evaluated in light of control customer conversion information that reflects different conversion propensities of customers.
METHODS, SYSTEMS, APPARATUS, AND ARTICLES OF MANUFACTURE TO MODIFY AUDIENCE ESTIMATES TO PRESERVE LOGICAL CONSISTENCY
Disclosed examples determine constraints based on a structure of initial audience totals; for a number of iterations: select values for modified audience totals that satisfy the constraints, the modified audience totals corresponding respectively to the initial audience totals; and determine an output based on the values for the modified audience totals and the initial audience totals; select final values of the modified audience totals resulting from completion of the number of iterations, the final values of the modified audience totals to be logically consistent; and generate a report including the final values of the modified audience totals.
Methods and systems for selecting content for display based on conversion probabilities of paths
Systems and methods for selecting content for display at a device includes, identifying by a processor, a visitor identifier associated with a device on which to display content. The processor can identify a path associated with the visitor identifier. The path corresponding to a sequence of one or more events through which the visitor identifier has visited the website. The processor can identify a conversion probability of the identified path. The conversion probability of the identified path indicates a likelihood that the visitor identifier will convert at the website. The conversion probability of the identified path is a ratio of a number of conversions at the website to a number of visits to the website over a given time period. The processor can select content for display. The content selected based on the identified conversion probability of the identified path.
Methods and apparatus to monitor media presentations
Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes at least one memory, first instructions in the apparatus, and processor circuitry to execute the first instructions. The first instructions, when executed, are to: instruct a media provider to include second instructions in an application to create an instrumented application and receive data from a media device based on the media device executing the second instructions. The second instructions, when executed, are to cause the media device to: access configuration information to instruct the instrumented application on the media device to operate in at least one of a first mode or a second mode, the second mode different from the first mode; access a media identifier corresponding to a media presentation event when monitoring functionality is enabled on the instrumented application; determine a second identifier to identify at least one of the media device or a user of the media device when the monitoring functionality is enabled, the second identifier assigned by a first entity when the instrumented application is to operate in the first mode, the second identifier assigned by a second entity when the instrumented application is to operate in the second mode, the first entity separate from the second entity; and send the media identifier in association with the second identifier to the second entity when the monitoring functionality is enabled.
Predicting performance of content and electronic messages among a system of networked computing devices
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.