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 | What is Marketing? — The Definition of Marketing — AMA
Definition of Marketing Research Marketing research is the function that links the consumer, customer, and public to the marketer through information—information used to identify and define opportunities and problems; generate, refine, and evaluate actions; monitor performance; and improve understanding of it as a process.
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 | Marketing vs. Advertising
Marketing is a business practice that involves identifying, predicting and meeting customer needs. Advertising is a business practice where a company pays to place its messaging or branding in a particular location.
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 | American Marketing Association | AMA
The Essential Community for Marketers The AMA is a community of future marketers and dedicated professionals who work, teach and study in the field.
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 | AMA Marketing Competency Model
The American Marketing Association is the home of impactful learning for marketers on the move. Our data-backed approach to building the training and
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 | 2025 AMA Winter Academic Conference
Mark your calendar for the 2026 AMA Winter Academic Conference to explore these pressing questions and opportunities, from rethinking how marketing helps to balance resilience and efficiency in rapidly evolving markets to leveraging emerging technologies to address societal challenges.
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 | 2026 AMA Winter Academic Conference
Bridging at the Frontiers: Marketing for a World in Transition As the AMA’s first conference outside the U.S., Bridging at the Frontiers highlights marketing’s unique role in connecting diverse ideas, geographies and priorities while exploring the boundaries of innovation and practice. In today’s world of transition—marked by geopolitical tensions, within-country polarization and ...
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 | Artificial Intelligence (AI) for Marketing Professionals
Course Overview Artificial Intelligence for Marketing Professionals explores how artificial intelligence (AI) has become instrumental and ubiquitous in the field of marketing. This course covers the phases of AI, such as rule-based AI, machine learning, deep learning, and generative AI, to provide a solid foundation of AI principles.
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