CUSTREACQUIRE: CUSTREACQUIRE dataset

In regclass: Tools for an Introductory Class in Regression and Modeling

CUSTREACQUIRE dataset

Description

Customer reacquisition

Usage

data("CUSTREACQUIRE")

Format

A data frame with 500 observations on the following 9 variables.

Reacquire

a factor with levels No Yes indicating whether a customer who has previously churned was reacquired

Lifetime2

a numeric vector giving the days that the company was considered a customer

Value2

a numeric vector giving the lifetime value of the customer (related to the amount of money spent on reacquisition and the revenue brought in by the customer; can be negative)

Lifetime1

a numeric vector giving the days that the company was considered a customer before churning the first time

OfferAmount

a numeric vector giving the money equivalent of a special offer given to the former customer in an attempt to reacquire

Lapse

a numeric vector giving the number of days between the customer churning and the time of the offer

PriceChange

a numeric vector giving the percentage by which the typical product purchased by the customer has changed from the time they churned to the time the special offer was sent

Gender

a factor with levels Female Male giving the gender of the customer

Age

a numeric vector giving the age of the customer

Details

A company kept records of its success in reacquiring customers that had previously churned. Data is based on a previous case study.

Source

Unknown

regclass documentation built on June 8, 2025, 12:40 p.m.