CRAN/E | CLVTools

CLVTools

Tools for Customer Lifetime Value Estimation

Installation

About

A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV). Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process. Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process. They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior. Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in lifetime values estimates for individual customers. This package includes fast and accurate implementations of various probabilistic models for non-contractual settings (e.g., grocery purchases or hotel visits). All implementations support time-invariant covariates, which can be used to control for e.g., socio-demographics. If such an extension has been proposed in literature, we further provide the possibility to control for time-varying covariates to control for e.g., seasonal patterns. Currently, the package includes the following latent attrition models to model individuals' attrition and transaction process: [1] Pareto/NBD model (Pareto/Negative-Binomial-Distribution), [2] the Extended Pareto/NBD model (Pareto/Negative-Binomial-Distribution with time-varying covariates), [3] the BG/NBD model (Beta-Gamma/Negative-Binomial-Distribution) and the [4] GGom/NBD (Gamma-Gompertz/Negative-Binomial-Distribution). Further, we provide an implementation of the Gamma/Gamma model to model the spending process of individuals.

github.com/bachmannpatrick/CLVTools
Bug report File report

Key Metrics

Version 0.10.0
R ≥ 3.5.0
Published 2023-10-23 180 days ago
Needs compilation? yes
License GPL-3
CRAN checks CLVTools results

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Maintainer

Maintainer

Patrick Bachmann

pbachma@ethz.ch

Authors

Patrick Bachmann

cre / aut

Niels Kuebler

aut

Markus Meierer

aut

Jeffrey Naef

aut

E. Shin Oblander

aut

Patrik Schilter

aut

Material

NEWS
Reference manual
Package source

Vignettes

The CLVTools Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CLVTools archive

Depends

R ≥ 3.5.0
methods

Imports

data.table ≥ 1.12.0
Formula ≥ 1.2-4
ggplot2 ≥3.2.0
lubridate ≥ 1.7.8
Matrix ≥ 1.2-17
MASS
optimx ≥ 2019-12.02
Rcpp ≥ 0.12.12
stats
utils

Suggests

covr
knitr
rmarkdown
xml2
testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.500.2.0
RcppGSL ≥ 0.3.7
testthat