Statistical Analysis of Milk Products Consumers’ Behaviour

Abstract

At the turn of the economy changes (Lithuania rapidlyintegrating western civilization) new, individual customers’behaviour model is forming. Referring to scientificresearch methods, we can understand and forecast customerbehaviour, to clarify relation of cause and effectand, having identified customer needs, to produce suchproduct which would meet the needs of current customersand would attract new ones. Understanding of customerand his purchasing process helps to make specific decisionsin organising sales, to understand and forecast thepriorities of the customer in purchasing process and alongwith this to increase business opportunities. Because customerbehaviour is a constituent of human behaviour, it isdifficult to forecast. Therefore enterprises have periodicallyto carry out the analysis of customer behaviour, allowingunderstating customer deeds and forecast theirfuture behaviour.In the paper the level of milk and its product consumptionin Lithuania and consumption tendencies are highlighted.When carrying this research the methods of complexstatistic information collection were used: respondentssurvey, official statistics data analysis, direct observationof passives, the interview of an informal character.Collected information is analysed and interpreted, causalrelations of statistic research structure elements are presented.When carrying out this research, the representativeselective analysis (when by special techniques from generalset its part which makes sample, and later with thehelp of statistical methods it is reasonably applied to entirecitizens population), was used. By this method it is definedwhether provided services have satisfied expectations andmet needs. Only fully satisfied customers can become loyalcustomers of enterprises.