Forecasting Models for Marketing Decisions

Forecasting Models for Marketing Decisions

课程
en
英语
12 时
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来源
  • 来自www.coursera.org
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  • 4 序列
  • 等级 中级

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课程详情

教学大纲

  • Week 1 - Basics of Forecasting Models
    This module will discuss how to identify the necessary components of a forecasting model based on patterns in the history data. You will also be able to evaluate the performance of a forecasting model using both in-sample and out-of-sample metrics.
  • Week 2 - Customer Analytics: Predicting Individual Customer Behavior
    "Meaningful Marketing Insights," This content will be familiar for learners who completed the first course; please think of this portion of the class as a review.
  • Week 3 - Managing Customer Equity: Linking Customer Analytics to Customer Value
    This module will discuss managing customer equity, acquisition, retention, & market value, and customer valuation. You will learn how to decompose customer value into its underlying components.
  • Week 4 - Marketing Mix Modeling
    A common task in developing forecasting models is to use them to make decisions regarding the marketing mix activity. With a marketing mix model, organizations can assess the efficacy of different marketing actions. Included is a sample of data for a popular f...

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讲师

David Schweidel
Associate Professor of Marketing
Goizueta Business School

编辑

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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