Results 271 to 280 of about 17,889,928 (308)
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BRANDAID: A Marketing-Mix Model, Part 1: Structure

Operations Research, 1975
Marketing managers make decisions about price, advertising, promotion, and other marketing variables on the basis of factual data, judgments, and assumptions about how the market works. BRANDAID is a flexible, on-line model for assembling these elements to describe the market and evaluate strategies.
openaire   +2 more sources

A Model of Marketing Mix, Brand Switching, and Competition

Journal of Marketing Research, 1985
The authors develop a model of brand switching which incorporates marketing mix variables, product features, and their interactions to examine patterns of brand competition. Two forms of the model are presented and least squares estimation procedures suggested.
Gregory S. Carpenter, Donald R. Lehmann
openaire   +1 more source

Chapter 15 Marketing-mix models

1993
Publisher Summary This chapter reviews the literature concerning models that involve more than one marketing decision variable. The chapter discusses models to estimate the impact of marketing-mix variables and their interactions. The chapter also reviews normative marketing models. It includes a review of optimal marketing-mix allocation rules based
openaire   +1 more source

Marketing mix modelling 4.0: The superiority of agentic, Bayesian optimised marketing mix modelling over traditional approaches

Applied Marketing Analytics: The Peer-Reviewed Journal
This research paper explores how an agentic, Bayesian optimisation driven marketing mix modelling (MMM) framework offers significant advantages over traditional, static regression-based methods, advancing MMM from its econometric roots to better meet the needs of modern marketers.
David J. Fogarty   +2 more
openaire   +1 more source

Multiple Regression and Marketing-Mix Models

SSRN Electronic Journal, 2017
Rajkumar Venkatesan, Shea Gibbs
openaire   +1 more source

Understanding E-Marketing Mix Models

مجلة دفاتر البحوث العلمية, 2020
openaire   +1 more source

Predicting stock market crisis via market indicators and mixed frequency investor sentiments

Expert Systems With Applications, 2021
Zhensong Chen, Chenhui Liu
exaly  

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