Among other things, advertisements are received for brands or products of brands. Criteria for placement of the advertisements are received at online retail sites. The online retail sites are controlled independently from one another. Inventory data for the products at the online retail sites is received and stored. Data about propensities of the consumers to favor one or more of the brands or one or more products of the brands, from activities of consumers on the online retail sites, is stored. Activity data about current activities of the consumers on the online retail sites is received. One or more of the advertisements are placed on pages served to the online retail sites based on the placement data, the inventory data, the propensity data, and the activity data. Conversion data is received indicating that consumers engaged in conversion events with respect to products associated with the brands or products of brands being advertised. The brands are charged based on the placing of the advertisements and the conversion events. The online retail sites are paid for the placing of the advertisements and the conversion events.

The present invention relates to conversion event tracking and attribution. The invention enables measuring the impact of marketing events on distribution and adoption of software products and/or services and attribution of a conversion event to a source that is responsible for that conversion. The invention additionally enables optimization of targeted traffic/content delivery to users based on accurate tracking and attribution of conversion events. The invention is implemented by a conversion tracking server configured for network communication with a users terminal device and optionally for network communication a cloud services server system, to implement conversion event tracking and attribution.

The disclosed subject matter relates to a system and method for selecting/recommending ads based on a contextual bandit approach. The disclosed approach leverages various embedding vectors of item, search, page taxonomy trained based on traffic data via advanced deep learning models, and uses model signals (e.g. historical CTR, item price, rating, quality) from other ad placements. The learning mechanism on top of the current methodology to automatic chooses the best feature sets and adjust model performance over time. The contextual bandit model performs better with respect to CTR than the Thompson Sampling model, and achieves lower regret and faster convergence over time.

A business and a technology platform uses triggers for making all forms of media, technologies and locations, instantly transactional, informational and interactive, on mobile devices, iot devices, virtual devices, tablets, and robots using a pull advertising/marketing model having triggers. The triggers include visual recognition, character recognition, machine learning, neural network, artificial intelligence, GPS, beacon, rfid, qr code, search, time, voice recognition, face recognition, expression recognition, object recognition, audio signals, augmented reality, screen pressure sensitivity, and games of all kinds, in all formats. Instantaneous transactional capabilities are also added. The platform also uses combinations of presentations in all media.

The present disclosure relates to a system and method for use with video and online gaming. Embodiments may include providing, using at least one processor, a video game or online game and integrating an application programming interface with the video game or online game. Embodiments may include displaying an advertisement on a three dimensional (“3D”) or four dimensional (“4D”) object associated with the video game or online game.

The disclosure is related to a method and system for evaluating advertising effects of video content. The evaluation method includes presenting video content including a character to a viewer through a display, extracting pieces of facial micro-movement data (MMD) of the character in the video content and the viewer, while the viewer watches the video content, calculating a similarity of the MMD of the character and the MMD of the viewer, and calculating an advertising effect score of the video content on the basis of the similarity.

Technologies for attributing purchases to a targeted marketing campaign include associating a captured payment card number and a captured cardholder identifier with a globally unique identifier. Additional payment card numbers related to the captured payment card number are associated with the globally unique identifier. A cardholder-specific marketing message associated with a targeted marketing campaign is transmitted to the captured cardholder identifier based on the globally unique identifier. The targeted marketing campaign is for an advertised product, which corresponds to a product identifier. A purchase transaction is attributed to the targeted marketing campaign in response to determining that a payment card number associated with the purchase transaction matches any of the payment card numbers associated with the globally unique identifier and determining that a product identifier corresponding to a purchased product of the purchase transaction is associated with the targeted marketing campaign. Other embodiments are described and claimed.

One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the advertisement slot.

Disclosed are methods, systems, and non-transitory computer-readable medium for transition-coded media, measuring engagement of transition-coded media, and distribution of components of transition-coded media. For instance, the method may include: obtaining a media file; determining whether the media file includes transition-coded media; in response to determining the media file includes the transition-coded media, setting up a dynamic media environment; detecting whether a user is interacting with the transition-coded media; and in response to detecting the user is interacting with the transition-coded media, executing the transition-coded media with the dynamic media environment.

A system and method for content selection and presentation is disclosed. A plurality of content elements configured for presentation in at least one content container is received and one of the plurality of content elements is selected for presentation in the at least one content container. The one of the plurality of content elements is selected by a trained selection model configured to select one of an individual context or a global context. An interface including the selected one of the plurality of content elements is generated.