Fighting Churn With Data: The Science and Strategy of Customer Retention by Carl S. Gold

Fighting Churn With Data: The Science and Strategy of Customer Retention by Carl S. Gold

Author:Carl S. Gold [Gold, Carl S.]
Language: eng
Format: epub
Tags: computers, Databases, data mining, Programming Languages, Python
ISBN: 9781617296529
Google: wRILEAAAQBAJ
Publisher: Simon and Schuster
Published: 2020-12-22T23:39:36.574520+00:00


6.1.4 Case study correlation matrices

Figure 6.6 shows a correlation matrix from Klipfolio’s case study as a heatmap. There are around 70 metrics, and they are ordered to show the relationships of high correlation between different types of metrics. Six groups of metrics are highly correlated. The single largest group comprises metrics for the most common ways to use the product. There are also five other smaller groups of metrics that relate to other aspects of the products, and some metrics are not strongly correlated to any other metrics. This structure is fairly typical, although there are not always so many well-defined groups. The technique to produce this order is shown later in listing 6.4.



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