Methods, systems, and apparatus for enhancing electronic commerce using social media are described. Social media information is analyzed to determine a social media strategy and a strategy template is determined based on the defined social media strategy. The strategy template is provided to a user of an electronic commerce service.

Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

Techniques for generating unbiased estimates of causal effects in online experiments are provided. In one technique, campaign data is received that includes a first set of targeting criteria and a second set of targeting criteria. An online experiment is established that comprises a content delivery campaign that is associated with a treatment group and a control group. Afterward, a content request is received and a first entity that initiated the content request is identified. In response to determining that the first entity is targeted by the campaign based on the first set of targeting criteria, the first entity is randomly assigned to the control group. In responses to second content request, a second entity is identified. In response to determining that the second entity is targeted by the campaign based on the first set of targeting criteria, the second entity is randomly assigned to the treatment group.

A marketing analytics system including a software program for processing marketing data, a server for communicating with the software program via the internet and hosting the data collected by the software program. The software program is adapted to automatically issue reference codes for different marketing campaigns, so that the effectiveness of the campaign can be automatically analyzed on the software program.

Systems and methods for optimizing offsite content delivery are provided. A content request is received from a content exchange and multiple candidate content delivery campaigns are identified in response to the content request. A computerized method includes, for each candidate content delivery campaign, determining a resource usage per conversion on a particular content platform, determining a conversion rate on one or more third-party content platforms, and determining a conversion rate on the one or more third-party content platforms. The resource usage per impression is computed based on the resource usage per conversion, the resource usage per selection, and the conversation rate. A particular candidate content delivery campaign is selected from among multiple candidate content delivery campaigns based on the resource usage per impression and the particular candidate content delivery campaign is caused to be transmitted over a computer network to the content exchange.

In an advertisement management system, an advertising server allows an advertiser of an internet advertisement to set one or more campaigns and one or more advertisement sets for each campaign and collects a plurality of performance information of each advertisement set. In an advertisement management device connected with the advertising server, a campaign management screen providing section makes a management terminal display a campaign management screen selectable a target campaign, an advertisement set management screen providing section displays one or more advertisement sets of the target campaign by a parallel coordinate graph and makes the management terminal display an advertisement set management screen selectable one or more target advertisement sets, and an advertisement set adjustment screen providing section makes the management terminal display an advertisement set adjustment screen adjustable operation information of one or more target advertisement sets.

Systems and methods for providing purchase recommendations include determining a shopping list including a plurality of items associated with a customer. The financial information that is associated with the customer is retrieved from a non-transitory memory. At least one selected item from the shopping list is determined based on the financial information. A purchase recommendation including the at least one selected item is generated. The purchase recommendation is provided for display on at least one customer device.

Systems and methods for getting and using reaction and feedback on contents presented at a device. In an aspect, viewing time of a user is measured by eye-tracking method, and used to conduct analysis, change contents, charge sponsors, award the user, or charge the user. Moreover, other methods are also used to detect user reaction and feedback and respond to user request. In other aspects, contents are provided partially free and free time periods are offered for multiple presentation segments of a program.

In accordance with one or more aspects of selecting between client-side and server-side market detection, a determination is made at a device as to which of a client-side detected market and a server-side detected market is to have priority for a service. An application of the device is configured in accordance with a client-side market configuration setting if the client-side detected market has priority, and is configured in accordance with a server-side market configuration setting if the server-side detected market has priority.

Systems and methods are provided for object discovery and object mapping through an application with a Graphical User Interface (GUI). Objects are discovered through an object recommendation channel and through user input of key words and/or key phrases. Each object includes an Intensity of Interest (IoI), which is a relative preference for an object reflected by relative size in the object map. Additionally, the object map provides a visual display which indicates relationships among objects.