GENERATING A CURATED DIGITAL ANALYTICS WORKSPACE

    公开(公告)号:US20170091968A1

    公开(公告)日:2017-03-30

    申请号:US14866446

    申请日:2015-09-25

    CPC classification number: G06T11/206 G06Q30/02

    Abstract: Systems and methods are disclosed for generating a curated digital analytics workspace. In particular, in one or more embodiments, the disclosed systems and methods curate a digital analytics workspace based on a variety of factors to generate a curated digital analytics workspace capable of dynamically analyzing digital data elements. More specifically, one or more embodiments of the disclosed systems and methods limit data elements and/or analytics visualizations available in a digital analytics workspace based on user characteristics, data element features, or other factors to generate a curated digital analytics workspace. In this manner, the disclosed systems and methods can generate a curated digital analytics workspace that provides access to data elements and/or analytics visualizations targeted to the needs and capabilities of an individual or group while reducing confusion that often results from traditional analytics systems.

    DYNAMIC SENTIMENT-BASED MAPPING OF USER JOURNEYS

    公开(公告)号:US20190034963A1

    公开(公告)日:2019-01-31

    申请号:US15659511

    申请日:2017-07-25

    Abstract: The present disclosure covers systems and methods for collecting and analyzing analytics data for a plurality of online user interactions and aggregating the analytics data to determine sentiment scores and generate a presentation of a path of interactions. For example, the systems and methods analyze the analytics data to identify attributes of the online user interactions and determine, based on the identified attributes, a sentiment score for each of the plurality of online user interactions. In addition, the systems and methods aggregate the plurality of online user online user interactions to identify an interaction path commonly experienced by the users of the interactions. Further, the systems and methods generate and provide an interactive presentation including a visualization of the interaction path and associated ranges of sentiment scores associated with types of online user interactions that make up the interaction path.

    GENERATING SEGMENTS BASED ON INTELLIGENT SEQUENTIAL DATA
    3.
    发明申请
    GENERATING SEGMENTS BASED ON INTELLIGENT SEQUENTIAL DATA 审中-公开
    基于智能序列数据生成段

    公开(公告)号:US20160125041A1

    公开(公告)日:2016-05-05

    申请号:US14533509

    申请日:2014-11-05

    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 translation: 本公开涉及允许用户有效地创建和识别使用模式段的系统和方法。 例如,本文描述的系统和方法允许营销人员基于用户定义的维项目值来查询和返回包括序列条件的顺序段。 此外,所描述的系统和方法允许营销人员基于用户定义的维度变量来查询和返回包括顺序事件的顺序段。 除了上述之外,本文描述的系统和方法允许营销人员查询并返回由以给定的规律性或频率执行的重复事件定义的顺序段。

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