International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

A Predictive Modeling Approach to Multi-Objective Marketing Mix Optimization: Balancing Performance, Acquisition, and Efficiency

Author(s) Dhiraj Naphade
Country United States
Abstract A predictive modeling article for multi-objective marketing mix optimization is presented to address the complex challenge of budget allocation across marketing channels. This article integrates machine learning, time-series analysis, and constrained optimization techniques to develop a comprehensive framework that simultaneously optimizes customer acquisition and cost efficiency. It accounts for critical factors, including seasonality, ad stock effects, cross-channel interactions, and diminishing returns, while accommodating practical budget constraints. The proposed framework utilizes non-linear programming and genetic algorithms to dynamically adjust spending patterns according to temporal market conditions. Experimental validation demonstrates significant improvements over traditional marketing mix models, providing e-commerce businesses with a scalable and adaptable decision-making tool. Case studies illustrate practical applications across various market conditions, revealing optimal spending strategies and channel-specific allocation patterns. It bridges theoretical optimization approaches with pragmatic implementation considerations, offering marketers a robust methodology to enhance return on ad spend while maintaining strategic business objectives.
Keywords Keywords: Predictive Analytics, Budget Allocation, Machine Learning, Data Engineering, Constrained Optimization, Stock Effects, Customer Acquisition Strategy
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This A Predictive Modeling Approach to Multi-Objective Marketing Mix Optimization: Balancing Performance, Acquisition, and Efficiency - Dhiraj Naphade - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2606
DOI https://doi.org/10.71097/IJSAT.v16.i1.2606
Short DOI https://doi.org/g892gc
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org