AI Chat AI Image Generator AI Video Text to Speech

A New Approach to Proportional Hazards Modeling for Estimating Customer Lifetime Value

08/03/2022

∙

by Vadim Pliner, et al.

∙

∙

Estimating customer lifetime value (CLV or LTV) is extremely important for making better business decisions. The proposed flexible proportional hazards model allows an estimation of lifetime value in contractual settings. This approach takes advantage of a churn model, which is assumed to be available.

page 1

page 2

page 3

page 4

research

∙ 04/06/2023

Modelling customer lifetime-value in the retail banking industry

Understanding customer lifetime value is key to nurturing long-term cust...

0 Greig Cowan, et al. ∙

research

∙ 09/06/2019

The Role of Shopping Mission in Retail Customer Segmentation

In retailing, it is important to understand customer behavior and determ...

0 Ondřej Sokol, et al. ∙

research

∙ 11/18/2022

Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry

We present the first empirical study on customer churn prediction in the...

0 Michael Roberts, et al. ∙

research

∙ 11/16/2022

CASPR: Customer Activity Sequence-based Prediction and Representation

Tasks critical to enterprise profitability, such as customer churn predi...

0 Pin-Jung Chen, et al. ∙

research

∙ 04/25/2019

Decision Forest: A Nonparametric Approach to Modeling Irrational Choice

Customer behavior is often assumed to follow weak rationality, which imp...

0 Yi-Chun Chen, et al. ∙

research

∙ 06/13/2017

Recommendations for Marketing Campaigns in Telecommunication Business based on the footprint analysis

A major investment made by a telecom operator goes into the infrastructu...

0 J. Sidorova, et al. ∙

research

∙ 08/05/2021

A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities

We study the problem of estimating potential revenue or demand at busine...

3 Shanaka Perera, et al. ∙