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Marketing is a complex field of decision making which involves a large degree of both judgment and intuition on behalf of the marketer. [10] The enormous increase in complexity that the individual decision-maker faces renders the decision-making process almost an impossible task. The marketing decision engine can help distill the noise.
A MKDSS is used to support the software vendors’ planning strategy for marketing products. It can help to identify advantageous levels of pricing, advertising spending, and advertising copy for the firm’s products. [4] This helps determine the firm's marketing mix for product software.
Artificial intelligence has transformed the digital marketing landscape by allowing businesses to capture large amounts of consumer data, leading to data-driven marketing strategies. Businesses like Amazon can utilize user’s purchase, search, and viewing history on their platforms, to create customized user experiences.
Site members may follow a research interest, in addition to following other individual members. [10] It has a blogging feature for users to write short reviews on peer-reviewed articles. [10] ResearchGate indexes self-published information on user profiles to suggest members to connect with others who have similar interests. [3]
Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.
Birhane was born in Ethiopia. [6] She received her Bachelors of Science in Psychology and a Bachelors of Arts in Philosophy from The Open University. [7] In 2015, she completed her Master of Science in Cognitive Science and, in 2021, her Ph.D. at the Complex Software Lab in the School of Computer Science at University College Dublin.
This process is guided by discussions with management and industry experts, case studies and simulations, analysis of secondary data, qualitative research and pragmatic considerations. [2] The third step involves the formulation of the research design which is the framework or blueprint for conducting the marketing research project. It details ...
Subsequently, many books [5] [6] [7] and articles [8] [9] have been written about the application of Bayesian statistics to marketing decision-making and market research. It was predicted that the Bayesian approach would be used widely in the marketing field but up until the mid-1980s the methods were considered impractical. [10]