A generalized Vidale–Wolfe model on existing and new customers advertising strategy in a segmented market

Ramdinpuii, Onamy, Chaudhary, Kuldeep, Gupta, Surbhi and Bali, Shivani ORCID: https://orcid.org/0000-0001-5618-1857 (2026) A generalized Vidale–Wolfe model on existing and new customers advertising strategy in a segmented market. Results in Control and Optimization, 22: 100673. ISSN 2666-7207

[thumbnail of A generalized Vidale.pdf]
Preview
Text
A generalized Vidale.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Abstract

Business firms and companies are constantly adopting the concept of market segmentation, which plays an important role in the promotion of a product. Additionally, advertising is another component that strengthens the company’s communication with customers. To have effective marketing strategies, the implementation of independent advertising strategies for each segmented market is important. This paper deals with an optimal control problem that aims to obtain a dynamic advertising policy for new customers as well as minimize the decay rate for existing customers in a segment-specific market. We will an derive explicit optimal dynamic advertising efforts policy using Pontryagin’s maximum principle. The analysis gives a deep insight into how the advertising effort should be planned by the decision-makers, designing strategies that maximize long-term profitability while effectively controlling advertising costs. The effectiveness of the suggested strategy is supported by numerical examples, along with parameter estimation to estimate the value of certain parameters.

Item Type: Article
Uncontrolled Keywords: Advertising | Market segmentation | Maximum principle | Optimal control problem | Parameter estimation
Subjects: Social Sciences and humanities > Business, Management and Accounting > Strategy and Management
Vol/Issue no. published date: March 2026
Depositing User: Mr. Arjun Dinesh
Date Deposited: 02 Apr 2026 04:51
Last Modified: 23 Apr 2026 09:40
Official URL: https://doi.org.10.1016/j.rico.2026.100673
URI: https://pure.jgu.edu.in/id/eprint/11101

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item