Foundations of marketing analytics

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课程简介

ESSEC Business School

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In this short module, we will introduce the field of marketing analytics, and layout the structure of this course. We will also take that opportunity to explore a retailing data set that we’ll be using throughout this course. We will setup the environment, load the data in R (we’ll be using the RStudio environment), and explore it using simple SQL statements.

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Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. Business Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage. It's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on. But at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future. That's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course.

营销分析的基础:本课程适用于谁? 本课程是为希望将统计知识和技术应用于业务环境的学生,业务分析师和数据科学家而设计的。例如,它可能适合经验丰富的统计学家,分析师,工程师,他们希望更多地担任业务角色,尤其是在营销方面。 如果您已经有统计学背景,可以使用R或另一种编程语言并且熟悉数据库和数据分析技术(例如回归,分类和聚类),那么您会发现本课程令人兴奋和有益。 但是,它包含许多演奏会和R Studio教程,这些教程将巩固您的能力,使您能够更自由地使用数据并探索R中的新功能和统计功能。 出于充分的原因,业务分析,大数据和数据科学是当今非常热门的话题。公司坐拥大量数据,但通常缺乏有效分析和利用数据的技能和人员。那些开发技能并雇用合适的人来分析和利用数据的公司将具有明显的竞争优势。 在一个领域尤其如此:行销。如今,公司收集的数据中约有90%与客户的行为和营销活动有关。MarketingAnalytics的领域是绝对庞大的,并且可能涵盖诸如文本挖掘,社交网络分析,情感分析,实时出价,在线广告系列优化等。 但是,营销的核心是一些尚待解决的基本问题:(1)谁是我的客户;(2)我应该针对哪些客户并将我的大部分营销预算用于此;以及(3)该客户的未来价值是什么?我的客户,这样我就可以专注于那些将来对公司最有价值的人。 这正是本课程将要涵盖的内容:细分就是了解客户,计分模型是针对正确的客户,而客户生命周期的价值在于预期其未来的价值。这些是Marketing Analytics的基础。这就是您将在本课程中学习的内容。

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