Machine Learning Suggesting Marketing Mix

Machine Learning Suggesting Marketing Mix

Copyright: © 2023 |Pages: 13
DOI: 10.4018/978-1-6684-6613-1.ch004
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Abstract

The marketing mix is a crucial component of a company's marketing strategy that connects the business to the market. Three major global drivers exist: environmental changes, socioeconomic and geopolitical shifts, and technological advancements. Due to these, the market and its stakeholders have undergone significant ongoing and intensifying modifications. Technological advances have increased its ability to collect, analyze, and use data. Additionally, they have imposed new boundary conditions. Indeed, novel consumer demands and legislative requirements have restricted how businesses utilize the analysis. Machine learning algorithms aim to minimize human effort and support increasing business demands. These procedures train the executives and suggest efficient methodologies to increase profit. The work uses a machine learning algorithm to provide a good marketing mix based on various factors. The suggestion makes a marketing mix by considering the major and minor factors. A case study of a supermarket is analyzed in work.
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Introduction

The concept of marketing strategy is at the conceptual core of the field of strategic marketing and is central to marketing practice. Marketing is all about devising and carrying out a marketing strategy. It is essential for marketing practice (Ferrell, Hartline, & Hochstein, 2021) to choose the right metrics for managers to use when selecting a marketing mix. The work (Mintz, Gilbride, Lenk, & Currim, 2021) fills these gaps by empirically examining the connection between the decision's perceived performance outcome and using a metric for that decision. It gives managers easy-to-follow guidelines for deciding which metrics are best for a marketing mix. A survey of 439 managers who report the metrics used and the perceived performance outcomes of 1,287 specific marketing-mix decisions is used to test the work. The uniqueness of the data stems from the fact that the unit of analysis is a manager who uses metrics to evaluate a particular marketing mix decision and then rates the outcome of that decision using a self-reported eight-item composite performance measure.

The promoting blend is a central hypothesis in showcasing that energizes the presentation of wanted conduct and accomplishes wanted advertising goals in the objective market by controlling a mix of blend components. Neil Borden is credited with giving it its conceptual origins. He portrays the blend as the promoting methods and strategies advertisers depend on while formulating showcasing programs. The four parts are the product, the price, the location, and the promotion. The marketing mix's widespread endorsement as a memorable and useful framework for marketing decision-making that has proven useful over time in business schools and industries is one of its key strengths.

By employing the marketing mix as a conceptual lens to explain the role of marketing as an integrator, specifically from a product, price, place, promotion, people, process, physical evidence, packaging, partnership, and policy perspective, this recommendation (Lim, 2021) takes a conceptual and contextual approach to the investigation. In the form of a 10 Ps framework for integrated care, it generates a marketing mix typology that demonstrates how the marketing mix can be rearranged to encourage and facilitate integrated care adoption and participation.

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