BAYESIAN ESTIMATION OF THE EFFECT OF AGGREGATE ADVERTISING ON WEB METRICS

    公开(公告)号:US20220067753A1

    公开(公告)日:2022-03-03

    申请号:US17004377

    申请日:2020-08-27

    Applicant: ADOBE INC.

    Abstract: A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

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