Methods, devices, and systems are disclosed for home based electric vehicle (EV) charging. According to one embodiment, a method is implemented on at least one computing device. The method includes determining a plurality of media items for simultaneous viewing on a user interface (UI) associated with a home-based EV charger. The method further includes transmitting the plurality of media items to the UI associated with the home-based EV charger.

A unified platform obtains, stores, and shares search results based on user profiles or groups with a common interest. User profiles or group profiles may be used to identify categories containing objects related to a common interest, and the objects may be selected for placement in a graphical user interface from which they may be purchased by or for the user. The objects may preferably be virtual objects stored in a virtual locker or other virtual display unit. Users are able to conduct web-based searches for products or services from different websites and store dimensional representations of virtual products or services in a unified platform.

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

Systems and methods are provided for combining advertising with media content sharing and other user experience apps for distributing ads and dispersing ad revenue with content creators. A media and ad sharing system, according to one implementation, includes a plurality of end user devices configured to create and share digital media content and to view digital media content from other end user devices. The media and ad sharing system further includes a plurality of advertiser devices configured to purchase virtual ad space for distributing ads within one or more user experience applications of the end user devices. Also, the media and ad sharing system includes a control system configured to automatically exchange cryptocurrency payments among the advertiser devices and the end user devices that share digital media content.

A system and process for coordinating streaming content or messages is provided. A network-connected server maintains a database containing media content-related data, such as the text of a message, accompanying media, time of airing, payment and related comments. A user can view these feeds or streams of these consciousness messages by downloading a mobile application or browsing to a website. The application can also be used to create, schedule and pay for a media content message.

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

A content server system provides a client device with content, such as an audio stream. Using various techniques, an estimate is made of the actual size of an audience associated with the provided content, rather than assuming that the audience is limited to a single user of the client device. The estimate may be made by the content server system, the client device, or the content server system and the client device collectively. Using the estimate of actual size of the audience, the content server system can take actions appropriate for the audience, such as providing advertisements appropriate for the size of the audience and for the collective characteristics of the audience members. The estimate of the actual audience size additionally allows the content server system to be compensated more precisely for any advertisements provided to that audience.

A system, method, and computer program product for implementing electronically generated promotion deployment is provided. The method includes receiving electronic data comprising shipment identification for a shipment of an item from a shipping client to a recipient. Specialized programmable software code is generated and a resulting profile is generated for the recipient. A visible promotional structure associated with a package comprising the shipment is generated and presented during delivery of the package. Generating the visible promotional structure may include generating a physical structure or a digital structure.