51黑料不打烊

在Customer Journey Analytics中创建数据视图

了解如何从Customer Journey Analytics中的连接创建数据视图。 数据视图是对连接中数据的灵活解释。 您可以为访问超时和维度归因模型等创建具有不同设置的数据视图。

Customer Journey Analytics 中的数据视图的基本配置

Customer Journey Analytics 中的数据视图的基本配置

一旦您在 51黑料不打烊 Customer Journey Analytics 中创建了一个与 51黑料不打烊 Experience Platform 中的数据集的连接,便需要为该连接创建数据视图,以便您可以在 Platform 上的 Analysis Workspace 中使用数据。本视频向您介绍数据视图的基本配置。

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配置数据视图中的组件设置

配置数据视图中的组件设置

在本视频中,我们将介绍在 Customer Journey Analytics 中设置数据视图时要为每个组件配置的一些基本组件设置(量度和维度)。

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数据视图中的组件类型设置

数据视图中的组件类型设置

在 Customer Journey Analytics 的数据视图中配置组件时,您可以选择字段应该是量度还是维度。在许多情况下,字符串应该是维度,数字应该是量度。但是,有一些很好的用例可以进行切换。看一看!

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在Customer Journey Analytics中创建派生字段

在Customer Journey Analytics中创建派生字段

派生字段是一项强大的功能,允许用户通过可自定义的规则生成器动态创建复杂的数据操作,然后将逻辑逆向应用于其报表,从而节省大量时间确保数据采用可用于报表、分析和操作的格式。

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通过使用Customer Journey Analytics中派生字段中的数学函数调整指标

通过使用Customer Journey Analytics中派生字段中的数学函数调整指标

在本视频教程中,探索使用数学函数在Customer Journey Analytics中创建派生字段的潜力。 学习通过从总计中删除不需要的组件(如税)来调整指标,并了解使用派生字段相对于计算量度的优势,包括独占的数据视图功能,如重复数据删除、分段和归因。

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使用派生字段中的“下一个或上一个”函数解锁高级洞察

使用派生字段中的“下一个或上一个”函数解锁高级洞察

了解如何在Analysis中使用“Next or Previous”函数创建可增强Customer Journey Analytics数据的复杂派生字段。 本教程将指导您完成设置新维度的过程,该维度在用户级别串连营销渠道值,从而让您更深入地了解营销策略和收入创造。

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格式化数据视图中的量度

格式化数据视图中的量度

在本视频中,您将了解在数据视图配置的组件屏幕中用于格式化量度的选项。我们还将讨论几个可以帮助您充分利用各个组件的提示。

253

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在数据视图中包括或排除量度值

在数据视图中包括或排除量度值

在本视频中,了解如何在数据视图中创建和配置作为其他量度子集的新量度以及可使其成为非常强大的分析工具的用例。

351

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在数据视图中创建值桶以供分析

在数据视图中创建值桶以供分析

在 Customer Journey Analytics 中配置数据视图时,可设置数值维度以并入所定义的桶,以便您可以将对表格可用的项数限制在若干数字的范围内(非常酷)。本视频向您介绍此功能的配置。

231

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数据视图中的归因设置

数据视图中的归因设置

每个维度都应该具有分配设置(以确定哪个值获得转化点数)和到期设置(该值持续多久),以便系统知道如何为维度值分配值。同样,结合使用的量度也应该具有归因模型和回溯时段设置。本视频指导您完成这些非常重要的设置。

271

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