Abstract: Techniques and system are described to control output of digital marketing content with respect to a digital video that address the added complexities of digital video over other types of digital content, such as webpages. In one example, the techniques and systems are configured to control a time, at which, digital marketing content is to be output with respect to the digital video, e.g., by selecting a commercial break or output as a banner ad in conjunction with the video.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.

Abstract: Techniques and systems are described for analyzing components of digital marketing content as part of a digital marketing campaign. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital marketing content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital marketing content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital marketing content items for digital marketing campaigns.

Abstract: Attribute control for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components based on fixed and variable attributes specified for these digital content components. Initially, the service provider system receives a component request, requesting that the service provider system provide the digital content components for incorporation with the digital content. The component request specifies fixed and variable content attributes for the provided digital content components. A fixed content attribute is an attribute that is to be included in the provided digital content components.

Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.

Abstract: Techniques and system are described to control output of digital marketing content with respect to digital content. This is achieved by leveraging additional insight that may be gained from external service systems that describe the digital content, e.g., social network systems, digital content review systems, and so forth. In one example, the techniques and systems are configured to collect social network data that describes social network communications communicated via a social network system. Natural language processing techniques are then performed as part of machine learning to detect interest of a user population associated with the social network communications.

Abstract: A virtual reality device is configured to generate realistic images, sounds and other sensations that replicate a real or imagined environment for a user. As a first user interacts with the device, first user interaction data representing interactions between the first user and the device during a first user visit are recorded. A first unique visitor fingerprint is generated based on the first user interaction data. As a second user interacts with the device, second user interaction data representing interactions between the second user and the device during a second user visit that is different from the first user visit are recorded. A second unique visitor fingerprint is generated based on the second user interaction data. The first and second unique visitor fingerprints are compared to determine whether the second user is the same as the first user. Based on the determination, one or more functions can be performed.

Abstract: In an online environment, a baseline attitude of an author of online content is determined. Based on the baseline attitude and a raw sentiment score for an instance of online content, an adjusted sentiment score for the online content instance is generated. A variance from the baseline attitude may be detected, based on the online content of the author. In response to the variance, a current mood of the author is determined and, using the current mood and the raw sentiment score, another adjusted sentiment score for the online content instance is generated. The baseline attitude of the author may be determined using one or more of an analysis of the online content instance, a demographic profile of the author, and a subject matter area of the online content instance. The detection of the variance from the baseline attitude may incorporate a frequency of instances of online content.

Abstract: Methods and systems for analyzing usage and performance of attributes in digital design assets for asset creation. In particular, one or more embodiments maintain a digital design asset repository containing a plurality of digital design assets available for use in marketing campaigns. One or more embodiments assign attribute identifiers to attributes of the digital design assets. One or more embodiments then track usage of digital design assets in one or more marketing campaigns. Based on the tracked usage, one or more embodiments aggregate analytics data for the attributes and then determine a performance of the attributes using the aggregated analytics data. Additionally, one or more embodiments provide the aggregated analytics data for the attributes in the digital design asset repository.

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: View location metric generation and engagement attribution within an AR or VR environment are described. In one example, a system of a digital medium environment is configured to generate metric data describing viewed locations within an augmented or virtual reality environment. The system includes a log data collection module implemented at least partially in hardware of a computing device to collect log data from a plurality of user devices. The log data describes locations associated with an augmented or virtual reality environment and a viewing direction at corresponding locations. The system also includes a metric generation module implemented at least partially in hardware of the computing device to generate metric data describing viewed locations within the augmented or virtual reality environment by the plurality of user devices and an output module implemented at least partially in hardware of the computing device to output the generated metric data.

Abstract: Digital experience content personalization and recommendation techniques within an AR or VR environment are described. In one example, a user profile is received that models how user interaction occurs with respect to virtual objects within a virtual or augmented reality environment. Digital experience content is obtained that defines a virtual or augmented reality environment. A virtual object is selected for inclusion as part of the digital experience content based at least in part on the user profile. Digital experience content is generated to support user interaction with the selected virtual object as part of the virtual or augmented reality environment.

Abstract: Object amalgamation based on categorization and protocol granularization is described. For certain example embodiments, each object belongs to a category of objects that is associated with a particular protocol. A protocol may include a wireless communication protocol and/or a characteristic description protocol. The object is capable of communicating a characteristic in accordance with the corresponding particular protocol. The characteristic may be an intrinsic attribute or a sensed value. A coordinator object groups other objects so as to amalgamate them into subnetworks in which the member objects are empowered to communicate with each other. If two objects correspond to different protocols, another object may translate a wireless communication from one protocol to another protocol.

Abstract: A virtual reality device is configured to generate realistic images, sounds and other sensations that replicate a real or imagined environment for a user. As a first user interacts with the device, first user interaction data representing interactions between the first user and the device during a first user visit are recorded. A first unique visitor fingerprint is generated based on the first user interaction data. As a second user interacts with the device, second user interaction data representing interactions between the second user and the device during a second user visit that is different from the first user visit are recorded. A second unique visitor fingerprint is generated based on the second user interaction data. The first and second unique visitor fingerprints are compared to determine whether the second user is the same as the first user. Based on the determination, one or more functions can be performed.

Abstract: Automated integration of partner products in connection with a web analytics application is facilitated. A list of available partner products is displayed, and the user is provided with an opportunity to select one or more of the displayed partner products. A wizard is presented, allowing the user to configure the partner product by specifying and mapping metrics, dimensions, and the like. Partner product integration then takes place automatically, thereby simplifying the process by which such integrations can be implemented.

Abstract: Automobile usage analytics and personalization are described. In one or more implementations, a digital medium environment is described in which sensors are included with parts of automobiles, detect usage events that result from auto part usage, and produce sensor data indicative of the events. In this environment, a method is described of efficiently aggregating the sensor data and accurately determining automobile usage therefrom. Based on the automobile usage, the automobile is personalized for users. For example, personalized recommendations are made to automobile users to suggest goods, services, or information determined pertinent to the users. The aggregated sensor data can be used in other ways to personalize the automobile, such as to adjust seat positions, control climate, and so on. Further, the aggregated sensor data is used to answer queries regarding automobile usage that are made by users (e.g., manufacturers) via analytics tools of an auto usage reporting platform.

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: Automated integration of partner products in connection with a web analytics application is facilitated. A list of available partner products is displayed, and the user is provided with an opportunity to select one or more of the displayed partner products. A wizard is presented, allowing the user to configure the partner product by specifying and mapping metrics, dimensions, and the like. Partner product integration then takes place automatically, thereby simplifying the process by which such integrations can be implemented.