CAPTURING A CLUSTER EFFECT WITH TARGETED DIGITAL-CONTENT EXPOSURES

    公开(公告)号:US20190205698A1

    公开(公告)日:2019-07-04

    申请号:US15862430

    申请日:2018-01-04

    Applicant: Facebook, Inc.

    Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that determine a cluster effect representing the impact that a user's digital-content exposure has on other users' conversion actions. The disclosed methods, non-transitory computer readable media, and systems detect the downloads, purchases, or other forms of consumption of a featured item that result from users within the same cluster viewing digital content featuring the item. In some embodiments, the methods, non-transitory computer readable media, and systems apply the cluster effect by, for example, generating a conversion report representing the cluster effect or by providing tools that exploit the cluster effect in distributing digital content.

    CAPTURING A CLUSTER EFFECT WITH TARGETED DIGITAL-CONTENT EXPOSURES

    公开(公告)号:US20210279507A1

    公开(公告)日:2021-09-09

    申请号:US17101896

    申请日:2020-11-23

    Applicant: Facebook, Inc.

    Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that determine a cluster effect representing the impact that a user's digital-content exposure has on other users' conversion actions. The disclosed methods, non-transitory computer readable media, and systems detect the downloads, purchases, or other forms of consumption of a featured item that result from users within the same cluster viewing digital content featuring the item. In some embodiments, the methods, non-transitory computer readable media, and systems apply the cluster effect by, for example, generating a conversion report representing the cluster effect or by providing tools that exploit the cluster effect in distributing digital content.

    INFLUENCE GROUPS FOR CONVERSIONS
    3.
    发明申请

    公开(公告)号:US20190080366A1

    公开(公告)日:2019-03-14

    申请号:US15699522

    申请日:2017-09-08

    Applicant: Facebook, Inc.

    Abstract: A method is disclosed for attributing conversions among multiple members of a socially connected influence group, such as a household. Data from advertising impressions, including views and clicks, is maintained by an online system. When a conversion is made, the social network of the user creating the conversion event is analyzed. An influence group, defined as a group comprising the users and group of socially connected users whom influence the purchasing decisions of the first user, is created. Conversion data is analyzed for the first user and the other members of the influence group. This data is weighted to determine the propensities of successful conversions among all members of the influence group.

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