Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
RStudio for R Statistical Computing Cookbook

You're reading from   RStudio for R Statistical Computing Cookbook Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Arrow left icon
Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781784391034
Length 246 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. Acquiring Data for Your Project 2. Preparing for Analysis – Data Cleansing and Manipulation FREE CHAPTER 3. Basic Visualization Techniques 4. Advanced and Interactive Visualization 5. Power Programming with R 6. Domain-specific Applications 7. Developing Static Reports 8. Dynamic Reporting and Web Application Development Index

Measuring customer retention using cohort analysis in R


Within the e-commerce field, customer retention metrics can be considered crucial for several reasons. Among these, the virtual absence of a barrier to entry for competitors in the virtual arena makes online sellers very willing to build an enduring relationship with their customers.

This recipe gives you a straightforward way to compute retention metrics within the R environment.

From the possible methods available for these tasks, we will use one from the family of cohort methods.

In this method, customers are divided into homogenous groups (that is, cohorts) that share relevant segmentation attributes, such as sex or age.

Purchases made by those groups are monitored monthly over a period of time, and a retention rate is calculated each month using the following formula:

retention rate = (number of customers purchasing in a given month)/(number of customers within the cohort at the starting point)

Getting ready

This recipe is not going...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image