最受 欢迎
Survey analysis to Gain Marketing Insights
您将学到什么
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
数字广告与营销 101：获取完整指南
您将学到什么
一次性的客户满意度调查到持续管理的品牌跟踪调查，它们提供了营销人员了解消费者如何看待他们的产品、服务和品牌所需的信息。在调查数据的分析方法中，统计学习者将熟悉将调查响应转换为可以支持营销决策的见解的既定方法。讨论的技术包括因子分析、聚类分析、判别分析和多维缩放。
趋势
Survey analysis to Gain Marketing Insights
您将学到什么
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
数字广告与营销 101：获取完整指南
您将学到什么
一次性的客户满意度调查到持续管理的品牌跟踪调查，它们提供了营销人员了解消费者如何看待他们的产品、服务和品牌所需的信息。在调查数据的分析方法中，统计学习者将熟悉将调查响应转换为可以支持营销决策的见解的既定方法。讨论的技术包括因子分析、聚类分析、判别分析和多维缩放。
受欢迎的讲师
所有数字营销课程
数字广告与营销 101：获取完整指南
消费者如何看待您的品牌相对于竞争对手？新产品在推出时应该如何定位？哪些客户群对我们当前的产品最感兴趣？ 对于这些问题和许多其他问题，调查仍然是获得营销见解的行之有效的方法。 从一次性的客户满意度调查到持续管理的品牌跟踪调查，它们提供了营销人员了解消费者如何看待其产品，服务和品牌所需的信息。 …
您将学到什么
一次性的客户满意度调查到持续管理的品牌跟踪调查，它们提供了营销人员了解消费者如何看待他们的产品、服务和品牌所需的信息。在调查数据的分析方法中，统计学习者将熟悉将调查响应转换为可以支持营销决策的见解的既定方法。讨论的技术包括因子分析、聚类分析、判别分析和多维缩放。
Survey analysis to Gain Marketing Insights
How do consumers see your brand relative to your competitors? …
您将学到什么
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
