Global InformationConsumer behaviour information
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Consumer behaviour is the study of individuals, groups, or organisations and all the activities associated with the purchase, use and disposal of goods and services. Consumer behaviour consists of how the consumer's emotions, attitudes, and preferences affect buying behaviour. Consumer behaviour emerged in the 1940–1950s as a distinct sub-discipline of marketing, but has become an interdisciplinary social science that blends elements from psychology, sociology, social anthropology, anthropology, ethnography, ethnology, marketing, and economics (especially behavioural economics).
The study of consumer behaviour formally investigates individual qualities such as demographics, personality lifestyles, and behavioural variables (such as usage rates, usage occasion, loyalty, brand advocacy, and willingness to provide referrals), in an attempt to understand people's wants and consumption patterns. Consumer behaviour also investigates on the influences on the consumer, from social groups such as family, friends, sports, and reference groups, to society in general (brand-influencers, opinion leaders).
Because consumer behaviour is hard to predict, marketers and researchers employ ethnography, consumer neuroscience, and machine learning[1] and use customer relationship management (CRM) databases for analysis of customer patterns. The extensive data produced by these databases enables detailed examination of behavioural factors that contribute to customer re-purchase intentions, consumer retention, loyalty, and other behavioural intentions such as the willingness to provide positive referrals, become brand advocates, or engage in customer citizenship activities. Databases also assist in market segmentation, especially behavioural segmentation such as developing loyalty segments, which can be used to develop tightly targeted customised marketing strategies on a one-to-one basis.
- ^ Schivinski, Bruno (5 September 2019). "Eliciting brand-related social media engagement: A conditional inference tree framework". Journal of Business Research. 130: 594–602. doi:10.1016/j.jbusres.2019.08.045. ISSN 0148-2963. S2CID 203045048.