Managing Customer Churn via Service Mode Control

93 Pages Posted: 20 Jun 2018 Last revised: 16 Jan 2020

See all articles by Yash Kanoria

Yash Kanoria

Columbia Business School - Decision Risk and Operations

Ilan Lobel

New York University (NYU)

Jiaqi Lu

Columbia Business School - Decision, Risk, and Operations

Date Written: June 28, 2018

Abstract

We consider the problem of a service firm interacting over time with one of its customers. The firm has two service modes available, which differ in their expected reward rates as well as their volatilities (risk). The firm's objective is to maximize the rewards generated over the customer's lifetime. Meanwhile, the customer is unsophisticated and might abandon the system if unsatisfied with recent rewards. We show that the firm's optimal policy is either myopic or a sandwich policy. A sandwich policy is one where the firm utilizes the myopically optimal service mode when the customer is either very happy or very unhappy but that utilizes the service mode with inferior reward rate when the customer happiness is in a specific interval near the satisfaction threshold. Specifically, the firm should be risk averse when the customer is marginally satisfied and risk seeking when the customer is marginally unsatisfied. Our results extend to a setting where the firm can mix between the two service modes, and to one where the rewards accrue according to a geometric (instead of a regular) Brownian motion with drift. We show numerically that our results are robust to adding a small switching cost, and to different specifications of the hazard rate of customer abandonment as a function of happiness. We also demonstrate numerically that the customer lifetime value under the optimal policy is large relative to that under the myopic policy.

Keywords: Stochastic model applications, optimal control, buyer behavior, customer lifetime value, happiness, churn, goodwill model

JEL Classification: A12, D03, M31

Suggested Citation

Kanoria, Yash and Lobel, Ilan and Lu, Jiaqi, Managing Customer Churn via Service Mode Control (June 28, 2018). Columbia Business School Research Paper No. 18-52. Available at SSRN: https://ssrn.com/abstract=3188226 or http://dx.doi.org/10.2139/ssrn.3188226

Yash Kanoria

Columbia Business School - Decision Risk and Operations ( email )

New York, NY
United States

Ilan Lobel

New York University (NYU) ( email )

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Jiaqi Lu (Contact Author)

Columbia Business School - Decision, Risk, and Operations ( email )

New York, NY
United States

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