Embodiments of the present technology are directed to facilitating generation of experiment metric values, such as expected sample size and/or minimal detectable effect, for anytime valid confidence sequences (e.g., asymptotic confidence sequences). In one embodiment, a set of parameter values associated with an experiment using asymptotic confidence sequences are obtained. The set of parameter values include a minimal detectable effect and an uncertainty interval. Thereafter, an expected sample size for executing the experiment is determined based on the minimal detectable effect and the uncertainty interval. The expected sample size is provided for utilization in association with the experiment using asymptotic confidence sequences.

A method, system, and computer readable medium for facilitating user-to-user communication in a network environment are disclosed. A server system receives a plurality of subscription requests from subscribing users, each such request specifying a set of subscription criteria. The server system then configures an account of each subscribing user to associate each such request with the account. The server system next receives a request to broadcast a specific item of content, the request lacking identification of an intended recipient. In response to the broadcast request, the server system identifies any subscribing users then eligible to receive the specific item of content based on the subscription criteria, and serves, using a RESTful web service, the specific item of content to a client device of each identified subscribing user.

Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.

Training a machine to learn to offer personalized promotions over a network is provided. A promotion optimization engine may take logit models and their confidence measures, and compute the acceptance probability of each promotion based on the customer and product features. A target promotion may be determined based on an objective function, which jointly considers the acceptance probability and the logit model's confidence level. A cognitive engine receives a user response to the promotion and based on the user response, updates parameters of the logit model and confidence level associated with the logit model. In one aspect, a signal to offer the promotion is transmitted via a communication channel to a user's device, wherein the signal causes the user's device to automatically connect to one or more of the processors to receive the promotion, e.g., when the user's device is online.

An AI-based system for the generation, evaluation, and prediction of performance of banner ads for presentation to specific customers or types of customers. A data set of existing banner ads, ad materials, and design and marketing parameters is used to generate a graph-based model. The graph-based model is used to generate original banner ads, which are then evaluated by a machine learning model, which assigns them scores. The highest-scoring banner ads are then presented to customers. The invention can also use a genetic algorithm in combination with iterative evaluation and generation to diversify design and choose the highest ranked banner ads.

Multiple copies of the same coupon are delivered to a consumer simultaneously via different delivery channels. After one copy of the coupon has been presented in connection with a transaction and used, the coupon is marked as used with respect to all delivery channels for that consumer. Different copies of the coupon can have different coupon identifiers, for example when delivered through different channels. Consumers also can access such multichannel coupons without having to login each time they wish to access their coupons from multiple channels. In one implementation, each consumer has a user profile. A promotion is associated with that consumer's user profile. Each user profile also is associated with different channel identifiers representing communication channels to deliver instances of the promotion to the consumer. Each delivered instance of the promotion includes a coupon identifier associated with the promotion.

A method that incorporates teachings of the present disclosure may include, for example, the steps of transmitting media content to a group of set top boxes for presentation with an overlay superimposed onto the media content, 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, determining a first advertisement based on the first comment, and transmitting the first advertisement to the first set top box for presentation with the overlay and the media content. Other embodiments are disclosed.

The present invention relates to systems and methods for optimizing and managing advertising campaigns. The method of the present invention comprises storing one or more advertisement data structures associated with an ad group data structure in the ad group data structure. One or more ad group data structures associated with a campaign data structure are stored in an ad campaign data structure. Additionally, one or more ad campaign data structures associated with an advertised property are stored in an account data structure.

Methods and apparatus to determine efficiencies of media delivery across platforms are disclosed. An example method includes obtaining a first effectiveness metric for a first platform, obtaining a first reach of the first platform with respect for a target group of audience members, and calculating a first performance metric based on the first effectiveness metric and the first reach.

A system and method for incentivizing bartenders and other individuals to promote a particular brand of alcohol by creating a video competition. The system receives instructions to implement a video competition and notifies a plurality of individuals of the video competition. The participants to the video competition each create a video showing the individual preparing a particular alcoholic beverage. The video is created using a video production application that simplifies the video production process by providing guidelines for filming the video, automatically speeding up one or more portions of the recorded video, and allowing the user to easily edit the video. Videos created using the video production application may also be used as a part of an electronic cocktail menu. The system may identify prize winners for the video competition and transfers prizes to the winners, for example, electronically.