Chapter 7

Exploring Marketing

IN THIS CHAPTER

Bullet Introducing RFM analysis

Bullet Analyzing the data set

Bullet Understanding the results

Bullet Applying machine learning

If a business can classify its customers according to how frequently they buy, how recently they bought, and how much they spend, its marketers can target those customers and communicate with them appropriately. A recent customer who buys frequently and spends a lot of money would receive a different type of communication than one who rarely buys, spends little, and hasn’t bought anything for a long time.

Analyzing Retail Data

First used in the direct mail industry over 40 years ago, a popular type of marketing analysis depends on recency (the date of a customer’s most recent purchase), frequency (how often the customer purchases), and money (how much the customer spends).

Named in order of each element’s importance, this is called an RFM analysis. Recency is the most important because the more recently a customer has bought, the more likely they will again: The longer it takes for them to return to a business, the less likely they ...

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