Abstract: Unique users and/or the current user of a non-computer product are identified. Sensor data is collected from sensors on the non-computer product. The sensor data provides data regarding settings and/or usage patterns of the non-computer product. The sensor data is provided to an analytics engine, which analyzes the sensor data using machine-learning techniques to identify unique users of the non-computer product and/or a current user of the non-computer product. Analytics that include at least an indication of the unique users are provided to a product manufacturer and/or other entity (e.g., a retailer).

Abstract: The present disclosure is directed toward systems and methods for identifying contributing factors associated with a metric anomaly. One or more embodiments described herein identify contributing factors based on statistical analysis and machine learning. Additionally, one or more embodiments identify sub-factors associated with each contributing factor. In one or more embodiments, the systems and methods provide an interactive display that enables a user to select a particular anomaly for further analysis. The interactive display also provides additional interfaces through which the user can view informational displays that illustrate the factors that caused the particular anomaly and how those factors correlate with each other.

Abstract: A content analyzer retrieves content items from one or more content sources. The content items have a corresponding date and time assigned representing when the content item was published. The content analyzer is further configured to determine a frequency count for each of a plurality of terms within the plurality of content items for a specified time period. In some embodiments, the content analyzer identifies a change in the frequency count for each of the plurality of terms relative to a respective baseline frequency count for the respective one of the plurality of terms. In some embodiments, a report representing the change in the frequency count for each of the plurality of terms is generated.

Abstract: A method, system, and computer-readable storage medium are disclosed for accurately estimating the audience of digital content. A plurality of user interactions occurring on a digital device are received, wherein digital content is displayed on the digital device. Based on the plurality of user interactions, a total number of unique viewers of the digital content on the digital device is estimated.

Abstract: Systems and methods for are disclosed for providing integrated display of data metrics from different data sources. In some embodiments, an icon representing a de-limited data file can be positioned on a graphical interface that displays first metrics data for a first time period. An integration module can respond to the positioning of the icon by determining that the de-limited data file includes second metrics data for a second time period at least partially overlapping with the first time period. The integration module can update the graphical interface to display at least some of the second metrics data from the delimited data file with the first metrics data. The first metrics data and the second metrics data can be displayed for at least an overlapping portion between the first and second time periods.

Abstract: A system determines whether a user is a member of a segment, and this segment membership determination can be used to determine what content is provided to the user. Each segment has a corresponding set of criteria that includes multiple different elements describing users in the segment. A confidence value that the user is included in the segment is generated based on user data, and this confidence value can be used in different manners, such as to determine what content to provide to the user or to determine a financial value of providing content to the user. The confidence value is based on a fuzzy matching technique that generates element scores indicating how well the elements are satisfied by the user. The confidence value can also be based on weighted element scores, and estimates generated for elements for which user data is unknown.

Abstract: A system and method is disclosed for measuring contributor weight or influence in social media. Content posted by a user on one or more social media platforms is identified. The identifying the content posted by the user includes searching the one or more social media platforms for content posted by the user with identifying information. Downstream content associated with the content posted by the user is identified. Metrics measuring a contributor weight of the user based on the downstream content are calculated.

Abstract: Systems and methods for are disclosed for providing integrated display of data metrics from different data sources. In some embodiments, an icon representing a de-limited data file can be positioned on a graphical interface that displays first metrics data for a first time period. An integration module can respond to the positioning of the icon by determining that the de-limited data file includes second metrics data for a second time period at least partially overlapping with the first time period. The integration module can update the graphical interface to display at least some of the second metrics data from the delimited data file with the first metrics data. The first metrics data and the second metrics data can be displayed for at least an overlapping portion between the first and second time periods.

Abstract: The present disclosure is directed toward systems and methods that allow users to efficiently and effectively create and identify segments of usage patterns. For example, systems and methods described herein allow marketers to query and return sequential segments including sequence conditions based on user-defined dimension item values. Furthermore, systems and methods described allow marketers to query and return sequential segments including sequential events based on user-defined dimension variables. In addition to the foregoing, systems and methods described herein allow marketers to query and return sequential segments defined by repeated events performed at given regularity or frequency.

Abstract: Methods and systems for segmenting traffic based on geography include assigning coordinate location data received with respect to members of a plurality of computing devices to analytics data associated with a plurality of requests for content received from respective ones of the plurality of computing devices. A geographical location of interest is defined. The defining the geographical location of interest includes designating a plurality of points defining boundaries of the geographical location of interest. Respective ones of a plurality of traffic segments are assigned to the plurality of requests for content based in part upon a comparison of the geographical location of interest to coordinate location data assigned to respective ones of the plurality of requests for content. Network traffic metrics are generated for ones of the plurality of traffic segments. The request traffic metrics describe request behavior associated with particular segments of the plurality of traffic segments.

Abstract: Techniques are disclosed for using natural language processing techniques to define, manipulate, and interact with consumer segmentations. In such embodiments a content consumption analytics engine can be configured to receive and process a natural language segmentation query. The query may comprise, for example, a command that defines a new segmentation, a command that manipulates existing segmentations, or a command that solicits information relating to existing consumer segmentations. The query is parsed to identify individual grammatical tokens which are then correlated with specific segment token types through the use of a token repository. A custom thesaurus is used to identify synonymous terms for grammatical tokens which may not exist in the token repository. User feedback enables the custom thesaurus to learn additional synonyms for future use.

Abstract: In embodiments of cross device visitor correlation, application data is generated by an application executing on a computing device, and a visitor identifier is included in the application data. The visitor identifier is associated with the computing device for a user who is not identified at the computing device from a user-provided log-in credential or email address. The application data can be communicated to a cloud data storage that maintains the application data to update instances of the application on one or more additional computing devices when the application data is requested. An additional computing device can receive the application data along with the visitor identifier, and then return the visitor identifier back to the cloud storage along with updated application data. A user of the computing device and the additional computing device is correlated as the same visitor by a visitor profile server based on the visitor identifier.

Abstract: Methods and systems for segmenting traffic based on geography include assigning coordinate location data received with respect to members of a plurality of computing devices to analytics data associated with a plurality of requests for content received from respective ones of the plurality of computing devices. A geographical location of interest is defined. The defining the geographical location of interest includes designating a plurality of points defining boundaries of the geographical location of interest. Respective ones of a plurality of traffic segments are assigned to the plurality of requests for content based in part upon a comparison of the geographical location of interest to coordinate location data assigned to respective ones of the plurality of requests for content. Network traffic metrics are generated for ones of the plurality of traffic segments. The request traffic metrics describe request behavior associated with particular segments of the plurality of traffic segments.

Abstract: In embodiments of customized and automated dynamic infographics, an infographic template is received at a cloud-based service from a computing device, where a user at the computing device creates the infographic template in a graphics application to display data obtained from data sources. The cloud-based service assigns an identifier to associate the infographic template and the data sources of the data, and posts the infographic template making it available for cloud-based access by other computing devices that request to display the posted infographic template. The cloud-based service can receive a request from one of the computing devices to update the displayed data, and then query the data sources for current data, where the query is based on the identifier that is associated with the posted infographic template. The cloud-based service can then transform the current data to generate updated data, and update the posted infographic template with the updated data.

Abstract: Methods and techniques may be provided for matching user profiles on distinct social media platforms. A first profile is retrieved from a first social media platform. The first profile is identified by one or more search criteria. Responsive to identifying an instance of the one or more search criteria on a second social media platform, a first probability is determined. A second profile is identified by the one or more search criteria on the second social media platform. The first probability predicts whether the second profile is associated with an entity associated with the first profile. The determining the first probability further comprises comparing an attribute of the first profile to an attribute of the second profile. Responsive to determining that the first probability exceeds a threshold, a match indicating that the second profile is associated with an entity associated with the first profile is recorded.

Abstract: A plurality of user interface (UI) actions from a particular user is detected via a user interface of the application. The plurality of UI actions is analyzed to determine a usage pattern for the particular user. A modification to the user interface is determined based on the determined usage pattern. The determined modification in the user interface is implemented to customize the user interface of the application for the particular user. The determined modification may be stored in a user profile for subsequent use.

Abstract: In embodiments of cross device visitor correlation, application data is generated by an application executing on a computing device, and a visitor identifier is included in the application data. The visitor identifier is associated with the computing device for a user who is not identified at the computing device from a user-provided log-in credential or email address. The application data can be communicated to a cloud data storage that maintains the application data to update instances of the application on one or more additional computing devices when the application data is requested. An additional computing device can receive the application data along with the visitor identifier, and then return the visitor identifier back to the cloud storage along with updated application data. A user of the computing device and the additional computing device is correlated as the same visitor by a visitor profile server based on the visitor identifier.

Abstract: Techniques are disclosed for sharing and consuming web content across multiple computing devices. Each device registers with an account on a cloud-based service using a unique identifier. When one of the registered devices requests a web page, a set of rules is processed by the cloud-based service to determine whether the page content should be shared with other registered devices. If the rules are satisfied, the cloud-based service requests and receives the content from a content provider in various formats that are compatible with each of the registered devices. Once all assets associated with the content are received by the cloud-based service, the content is shared by pushing the content out to each registered device in the compatible format. In some cases, the scroll position is adjusted automatically so that the user may resume reading at the same point where she left off with another registered device.

Abstract: Systems and methods for are disclosed for providing integrated display of data metrics from different data sources. In some embodiments, an icon representing a de-limited data file can be positioned on a graphical interface that displays first metrics data for a first time period. An integration module can respond to the positioning of the icon by determining that the de-limited data file includes second metrics data for a second time period at least partially overlapping with the first time period. The integration module can update the graphical interface to display at least some of the second metrics data from the delimited data file with the first metrics data. The first metrics data and the second metrics data can be displayed for at least an overlapping portion between the first and second time periods.

Abstract: Methods and systems for segmenting traffic based on geography include assigning coordinate location data received with respect to members of a plurality of computing devices to analytics data associated with a plurality of requests for content received from respective ones of the plurality of computing devices. A geographical location of interest is defined. The defining the geographical location of interest includes designating a plurality of points defining boundaries of the geographical location of interest. Respective ones of a plurality of traffic segments are assigned to the plurality of requests for content based in part upon a comparison of the geographical location of interest to coordinate location data assigned to respective ones of the plurality of requests for content. Network traffic metrics are generated for ones of the plurality of traffic segments. The request traffic metrics describe request behavior associated with particular segments of the plurality of traffic segments.