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As part of consumer behavior, the buying decision process is the decision-making process used by consumers regarding the market transactions before, during, and after the purchase of a good or service. It can be seen as a particular form of a cost–benefit analysis in the presence of multiple alternatives. [1] [2]
The consideration set is a subset of the awareness set, which is all of the brands and products a consumer initially thinks of when faced with a purchasing decision. [2] The awareness set is filtered into the consideration set through the consumer's individual thoughts, preferences, and feelings — such as price, mood, previous experiences ...
Understanding customer needs is important because it helps promote the product. A brand is the perception of a product, service or company that is designed to stay in the minds of targeted consumers. Customers often use "mental shortcuts" to make purchase decisions, meaning that they rely on brand familiarity to make faster decisions. [3]
In a consumer's purchase journey the consumer will assign meaning to a product or brand upon their initial contact with the product or brand, [5] and this meaning will be based upon their experiences, beliefs and attitudes towards the product or brand. Perceptions are the foundation of brand value and marketing effectiveness. [6]
The marketing plan also helps layout the necessary budget and resources needed to achieve the goals stated in the marketing plan. It is able to show what the company is intended to accomplish within the budget and also makes it possible for company executives to assess potential return on the investment of marketing dollars.
The AIDA marketing model is a model within the class known as hierarchy of effects models or hierarchical models, all of which imply that consumers move through a series of steps or stages when they make purchase decisions. These models are linear, sequential models built on an assumption that consumers move through a series of cognitive ...
Choice modelling attempts to model the decision process of an individual or segment via revealed preferences or stated preferences made in a particular context or contexts. Typically, it attempts to use discrete choices (A over B; B over A, B & C) in order to infer positions of the items (A, B and C) on some relevant latent scale (typically ...
Value tree analysis is a multi-criteria decision-making (MCDM) implement by which the decision-making attributes for each choice to come out with a preference for the decision makes are weighted. [1] Usually, choices' attribute-specific values are aggregated into a complete method. Decision analysts (DAs) distinguished two types of utility. [2]