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What is Marketing Analytics

Marketing Innovation Strategies and Consumer Behavior
A marketing discipline that involves gathering and scrutinizing data to discern patterns, assess strategies, and enhance decision-making.
Published in Chapter:
A Literature Review of Marketing Intelligence and Its Theoretical Implication for Leveraging Business
Albérico Travassos Rosário (GOVCOPP, IADE, Universidade Europeia, Portugal)
Copyright: © 2024 |Pages: 30
DOI: 10.4018/979-8-3693-4195-7.ch001
Abstract
Marketing intelligence, or market intelligence, refers to gathering and analyzing information about the market, customers, competitors, and other relevant factors to make informed business decisions. Market intelligence helps businesses spot emerging trends, untapped markets, and potential business opportunities. When considering expansion into new geographic areas or market segments, marketing intelligence can provide valuable information about the potential demand, competition, and market conditions. This data helps businesses make informed decisions and reduce risks associated with expansion. Marketing intelligence provides valuable insights that inform long-term strategic planning. Businesses can develop data-driven strategies that align with market trends and customer demands, ensuring sustainable growth and profitability. Based on the above, it is intended to systematically review the bibliometric literature on how marketing intelligence can leverage business using the Scopus database by analyzing 96 academic and/or scientific documents.
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More Results
The Use of Big Data in Marketing Analytics
Marketing analytics involves collection, management, and analysis such as descriptive, diagnostic, predictive, and prescriptive of data to obtain insights into marketing performance, maximize the effectiveness of instruments of marketing control, and optimize firms’ return on investment ( Wedel & Kannan, 2016 ).
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Segmenting the Retail Customers: A Multi-Model Approach of Clustering in Machine Learning
Is a systematic process through which marketing business challenges are addressed via the use of data, statistics, mathematics, and technological innovation. Modelling and computer software is used to make marketing decisions.
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Digital Transformation of the Real Estate Segment With Big Data and Marketing Analytics: A Case Study From QUOT
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