A method including tracking first data including responses by users to email campaigns. The method also can include generating a user feature set for the users, the user feature set including personal features of each of the users and online activity history for each of the users across a first set of time periods. The method additionally can include generating an email feature set for the emails in the email campaigns. The method further can include training a logistic regression model to create a trained model using the first data, the user feature set, and the email feature set to provide a probability of a user of the users clicking on an email of the emails within each time period of a second set of time periods. The method additionally can include triggering sending a first email of the email campaigns to a first user of the users at a selected time period of the second set of time periods based at least in part on the trained model. Other embodiments are disclosed.

A system may determine a field of view of a structure; identify a set of road segments that fall within the view area of the advertising unit; and identify mobile devices that have been physically located at locations associated with the road segments within the field of view (e.g., located within vehicles that have traversed the road segments). The system may further receive a request for a report that indicates a quantity or other information (e.g., demographics information) regarding the identified mobile devices over a period of time.

A business monitoring system is described herein that brings together the previously separate worlds of social media and offline secret shopper and similar programs. With the business monitoring system, owners of brands are able to monitor the local voice of the customer to detect local and regional trends in sentiment and activity, build benchmarks and goals for local storefronts, evaluate in-store operations and customer service trends, and measure the local impact of marketing and advertising initiatives. The system collects and analyzes signals from online sources, producing reports, analytics, benchmarks, and alerts regarding offline activity at the local/store-front level. The system normalizes the signals from various sources, analyzes the signals at the individual location level, aggregates the data across various dimensions, builds benchmarks for comparison, and fires triggers notifying appropriate people upon detecting a meaningful variance. Thus, the system provides a rich and timely set of information to business decision makers.

A method for identification of influencer social network marketing effectiveness includes: storing social network profiles, each including a profile identifier and social network connections; receiving an effectiveness request including transaction data for electronic commerce transactions, each including identifying information and a transaction time; receiving data associated with a promoted social network post including a posting time and a specific profile identifier; identifying, for each transaction, a corresponding social network profile based on a correspondence between the profile identifier and the transaction's identifying information; identifying a specific social network profile that includes the specific profile identifier; determining, for each transaction, if the transaction was influenced by the promoted social network post based on the social network connections in the corresponding profile and the specific social network profile and the transaction time and posting time; and transmitting a report based on a result of the determination for each transaction.

An information processing device according to the present application includes a detecting unit and a predicting unit. The detecting unit detects a move operation to move contents displayed on a display screen of the information processing device. The specifying unit specifies a focused region on which a user is focused for the display screen of the information processing device based on a result of the detection by the detecting unit.

A wearable apparatus and method are provided for processing images including product descriptors. In one implementation, a wearable apparatus for processing images including a product descriptor is provided. The wearable apparatus includes a wearable image sensor configured to capture a plurality of images from an environment of a user of the wearable apparatus. The wearable apparatus also includes at least one processing device programmed to analyze the plurality of images to identify one or more of the plurality of images that include an occurrence of the product descriptor. Based on analysis of the one or more identified images, the at least one processing device is also programmed to determine information related to the occurrence of the product descriptor. The at least one processing device is further configured to cause the information and an identifier of the product descriptor to be stored in a memory.

Disclosed is a system and method for distributing media content. The system can include a processor and a memory coupled to the processor. The memory stores executable instructions for causing the processor to present a mall interface on a display of a user system, detect a user selection of the integrated storefront/internet search, and display customized search result storefronts based on the user selection. The mall interface may include a plurality of storefronts and an integrated storefront/internet search, and the integrated storefront/internet search may include a storefront search and an internet search.

A social networking system receives information describing locations associated with a plurality of its users. Based on information identifying each user and a location associated with each user, the social networking system generates and stores hash values. For example, the social networking system maintains various geo-tiles that each identify geographic areas and generates a hash value based on a user identifier and an identifier of a geo-tile including the location associated with the user. Based on the hash values and locations associated with one or more users, the online system determines a number of unique users associated with locations included in a geographic region. When determining the number of unique users, the online system accounts for a rate at which the online system updates location information associated with various users.

A disclosed example to monitor access to media includes; a communication interface to send a uniform resource locator (URL) scrape instruction to a client computer in response to a first request from the client computer, the first request indicative of access to the media at the client computer; a processor in circuit with the communication interface; and memory including machine readable instructions that, when executed by the processor, cause the processor to: provide the URL scrape instruction to the communication interface when a URL of a host website of the media is not obtainable by the processor from the first request, the URL scrape instruction to cause the client computer to: (1) read the URL of the host website from an address bar of a web browser at the client computer, and (2) send the URL of the host website to a server; and store a logged impression of the media in association with the URL of the host website from the client computer.

Methods and systems are provided herein for the analysis of information about online actions of a plurality of users. The analysis methods and systems allow for the modification of online and offline business operations and marketing communications based on online consumer behavior. The methods and systems may obtain an input data set comprising information about online actions of a plurality of users, process the input data set to obtain transformed clickstream data, analyze the transformed clickstream data to identify an order in which each user of the plurality of users views a plurality of product offerings, determine an average order position that a specific product offering of the plurality of product offerings is viewed, and modify an offline or online marketing communication associated with the specific product offering based on the average order position of the specific product offering.