A system includes one or more processors to receive a product placement opportunity for at least one clothing item from a studio client computing device and store information associated with the product placement opportunity in a memory, transmit the information associated with the product placement opportunity to at least one fashion client computing device, receive an acceptance of the product placement opportunity from a fashion client computing device and transmit information associated with the acceptance to the studio client computing device, and receive a payment from at least one of the studio client computing device and the fashion client computing device and hold the payment in escrow.

In implementations of multi-item influence maximization, a computing device can obtain updates to a user association graph that indicates social correspondence between users, and obtain updates to a user-item graph that indicates user correspondence with one or more items. The computing device includes an influence maximization module that can update an item association graph that indicates item correspondence of each item with one or more other items, where the item association graph can be updated based on the user-item graph that indicates the user correspondence with one or more of the items. The influence maximization module can then iteratively determine a resource allocation for each of the users to maximize user influence of multiple items that are associated in the item association graph and based on the social correspondence between the users, as well as assign a variable portion of the resource allocation to any number of the users.

Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving, by a messaging application, content from a given user; selecting a metric for measuring performance of the content on the messaging application; measuring performance of the content on the messaging application; computing a value of the performance of the content on the messaging application based on the selected metric; and updating a restricted use token wallet stored in a profile for the given user based on the computed value of the performance of the content.

An e-commerce system is provided that tracks purchase transaction across multiple client devices. The e-commerce system stores hop information describing when a customer is exposed to a product of a vendor through an affiliate who advertises the vendor's products. The e-commerce system determines from the stored hop information which affiliate or affiliates to compensate for the sale of a product. This allows the e-commerce system to determine, after the sale, whether additional affiliates need to be compensated for the sale of the product based on the hop information.

There are disclosed devices, system and methods for predicting a likelihood of whether digital video ads will start on a given user device using a predictive model of the user device. The predictive model simulates a start of play in the user device and determines if the digital video ad started to play.

Methods and apparatus are provided for the dynamic placement, management and monitoring of Internet advertising. A provider of Internet content distributes the Internet content by embedding an advertisement placeholder in the Internet content; and provides the Internet content to an aggregator web site. The aggregator web site presents the Internet content to at least one end user with at least one advertisement in the advertisement placeholder. The advertisement placeholder is processed by a third party agent to automatically share revenue from the at least one advertisement with the provider of the Internet content and a provider of the aggregator web site. The advertisement placeholder can optionally be embedded in the Internet content using one or more templates. The third party agent also evaluates the content and at least one policy of multiple parties to identify at least one advertisement to present in the advertisement placeholder. The advertisement placeholder embodies a three party agreement between the provider of the Internet content, the provider of the aggregator web site and at least one advertiser.

Consistent with embodiments of the present invention, a social media merchandising and advertising platform may be provided. The platform may enable any third party website, page, or entity referred to herein as an advertiser to post interactive content on a publisher's website. The interactive content may comprise, for example, a customizable badge. The platform may enable the advertiser to create, customize, and deploy the badge for display and access on the publisher's specified domain. Moreover, the platform may enable the advertiser to provide the publisher with various specifications and elements to be integrated into a customized badge and, in turn, provide the customized badge to a publisher. Either the publisher or advertiser, individually or collectively, may then post the advertiser's badge to a website.

Systems and methods are described that utilize an integration of formulas, algorithms, databases, and interactive interfaces for use in digital marketing campaigns and/or the like. The systems and methods can be used to efficiently create, manage and/or coordinate digital content posts over organic social media outlets. The features of the systems and methods enable the content creator to upload, schedule and send media content to influencers to be posted across influencer's social channels and spheres of influence. The content creator can manage a large number of different accounts, social media campaigns, and influencers, that heretofore has been insecure, laborious and time consuming to accomplish with conventional means. Verification (digital proof) technology allows campaign managers to leverage free and paid influencers to securely increase the digital footprint of their content, while provide influencers with a secure place to access content and receive compensation for posting.

The examples provide a content item distributor computing system that is configured to determine characteristics of content providers and providing content items to certain categories of content providers. In one embodiment, the content item distributor receives a request from a content provider to receive content items and determines if a provided set of video content has a minimum number of viewers and meets a standard for upload content. In response to the determination, the content item distributor communicates a content item to the video content provider to present in conjunction with video content.