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Integrating marketing databases through regressed microsegmentation

机译:通过回归微细分整合营销数据库

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In order to quantitatively target media to markets, media planners need a data base that contains both target market membership and media usage variables. In the absence of single -source data, containing both kinds of variables, researchers have sought to synthesize, or integrate, these data through a variety of different approaches. One of the most elegant is microsegmentation. While the approach has been shown to consistently underestimate the concentration of target market members in the most selective media vehicles, this study suggests that the method might produce a proper ordering, or better yet, a proportionate evaluation of media. This, in turn, suggests that a regression equation might be used to adjust initial estimates of target market concentrations, thus providing a better means of linking target market and media data bases.
机译:为了定量地将媒体定位到市场,媒体策划者需要一个既包含目标市场成员身份又包含媒体使用变量的数据库。在缺乏包含两种变量的单一来源数据的情况下,研究人员试图通过各种不同的方法来合成或整合这些数据。微分段是最优雅的方法之一。尽管已经证明该方法始终低估了最具选择性的媒体工具中目标市场成员的集中度,但这项研究表明,该方法可能会产生适当的排序,或者更好的是按比例评估媒体。反过来,这表明可以使用回归方程来调整目标市场集中度的初始估计,从而提供一种更好的将目标市场和媒体数据库联系起来的方法。

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