Consumer behaviour
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).
"Buyer behaviour" redirects here. For the behaviour of buyers within organisations, see procurement.
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.
Consumer behaviour entails "all activities associated with the purchase, use and disposal of goods and services, including the consumer's emotional, mental and behavioural responses that precede or follow these activities."[7] The term consumer can refer to individual consumers as well as organisational consumers, and more specifically, "an end user, and not necessarily a purchaser, in the distribution chain of a good or service."[8] Consumer behaviour is concerned with:[9]
Consumer responses may be:[10]
According to the American Marketing Association, consumer behaviour can be defined as "the dynamic interaction of affect and cognition, behaviour, and environmental events by which human beings conduct the exchange aspects of their lives."
As a field of study, consumer behaviour is an applied social science. Consumer behaviour analysis is the "use of behaviour principles, usually gained experimentally, to interpret human economic consumption." As a discipline, consumer behaviour stands at the intersection of economic psychology and marketing science.[11]
A number of theorists have argued that certain fundamental decision-making styles can be identified.[104][105] A decision-making style is defined as a "mental orientation characterising a consumer's approach to making choices."[106] Sproles and Kendall (1986) developed a consumer style inventory (CSI) consisting of eight factors, such as price-sensitivity, quality-consciousness, brand-consciousness, novelty-seeking, fashion-consciousness, and habit. Based on these factors, the authors developed a typology of eight distinct decision-making styles:[107]
The Consumer Styles Inventory (CSI) has been extensively tested and retested in a wide variety of countries and purchasing contexts.[108] Many empirical studies have observed cross-cultural variations in decision styles, leading to numerous adaptations or modifications of the CSI scale for use in specific countries.[109] Consumer decision styles are important for marketers because they describe behaviours that are relatively stable over time and are therefore useful for market segmentation.[110]