Aspects of the invention provide methods, systems, apparatuses and computer program products for implementing a dynamic experimentation service. An example of a method for implementing a dynamic experimentation service includes receiving a set of experiment configuration parameters, determining, by a processor and based on the experiment configuration parameters, an experiment model, the experiment model comprising electronic data indicating an audience selected from a plurality of consumers and a plurality of levels for controlling a communication service in operation to generate an electronic marketing communication for transmission to at least one of the plurality of consumers, receiving a request, from the communication service, the request comprising a communication identifier, determining, based on the communication identifier, at least one of the plurality of levels, and causing the electronic marketing communication to be generated as a treatment comprising the at least one of the plurality of levels.

The present disclosure provides a method and an apparatus for advertisement anti-blocking in the technical field of internet. The method includes receiving a first access request of a terminal for a target webpage, and obtaining webpage content of the target webpage; rewriting uniform resource locators (URLs) at a plurality of levels in the webpage content into corresponding anti-blocking URLs according to a preset encryption algorithm, and returning rewritten webpage content to the terminal; restoring the anti-blocking URLs to the URLs at the plurality of levels according to a preset decryption algorithm, when receiving second access requests of the terminal for the anti-blocking URLs; and obtaining resources pointed to by the URLs at the plurality of levels and returning the resources to the terminal. By using the present disclosure, the cost of advertisement anti-blocking for a website provider can be reduced.

Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.

Systems and methods for verifying an advertisement impression in a digital environment are provided. In some aspects, methods of the subject technology include operations for defining a portion of the digital environment as an impression area, wherein the impression area is associated with a tagged advertisement area, providing a stream of an advertisement to the tagged advertisement area, and updating advertising impression information stored in memory regarding the advertisement, wherein an advertising impression is based on the identification of the character within the impression area and the availability of an unobstructed line-of-sight between the character and the tagged advertisement area. In some aspects, computer readable media are also provided.

An analytics module included in a processing system receives performance feedback related to a broadcast media item. The performance feedback includes metadata associated with the feedback. Based on the metadata, the analytics module distinguishes between first performance feedback provided by automated programs and second performance feedback provided by valid users. The second performance feedback is transmitted to a media proposal server, but the first performance feedback is not. The media proposal server determines, based on the second performance feedback, that the broadcast media item is to be replaced by a replacement broadcast media item.

Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.

Methods, apparatus, systems and articles of manufacture are disclosed to calculate long-term effects of marketing campaigns. An example method includes for respective participants, identifying, with a processor, a trial purchase of a first product associated with a brand of interest following a marketing stimulus for the brand of interest, for the respective participants, incrementing, with the processor, a brand purchase count of purchase occasions when a subsequent product associated with the brand of interest is purchased during an exposure period of the marketing stimulus, for the respective participants, resetting, with the processor, the brand purchase count to zero when a subsequent product unassociated with the brand of interest is purchased during the exposure period of the marketing stimulus, generating, with the processor, purchase groups indicative of consecutive purchase occasion values of the respective participants based on respective highest values of the brand purchase count, and calculating, with the processor, the sales effect for the respective purchase groups based on the respective values of the brand purchase count.

Systems and methods are disclosed for traffic filtration by content providers. One method includes receiving a content request from a device of a user; determining whether one or more container tags are associated with requested content; determining, prior to responding to the content request, whether the content request is by a user based on the content request and the one or more container tags; generating, prior to responding to the content request, an ad request based on the content request and the one or more container tags; determining, prior to responding to the content request, an ad request recipient based on the generated ad request and the one or more container tags; transmitting the ad request to the determined ad request recipient; and transmitting, over the electronic network to the device, a response to the content request when the content request is determined to be by a user.

For products that are sold online, the manner in which a product is displayed in an image can affect sales of the product. Embodiments of the present disclosure relate to computer-implemented systems and methods to provide a user with recommendations when generating an image of a product. A method includes obtaining a product image and determining parameters of the product image. A recommendation for modifying the product image is then generated using a model to relate these parameters to market success of the product image. The recommendation is displayed on the user device, and a user can potentially improve subsequent product images by following the recommendation.

Methods, systems, apparatus and articles of manufacture to determine causal effects are disclosed herein. An example apparatus includes a weighting engine to calculate a first set of weights corresponding to a first treatment dataset, a second set of weights corresponding to a second treatment dataset, and a third set of weights corresponding to a control dataset, the weighting engine to increase an operational efficiency of the apparatus by calculating the first set of weights, second set of weights, and third set of weights independently, a weighting response engine to calculate a first weighted response for the first treatment dataset, a second weighted response for the second treatment dataset, and determine a causal effect between the first treatment dataset and the second treatment dataset based on a difference between the first weighted response and the second weighted response, and a report generator to transmit a report to an audience measurement entity.