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Marketing effectiveness is the measure of how effective a given marketer's go to market strategy is toward meeting the goal of maximizing their spending to achieve positive results in both the short- and long-term. It is also related to marketing ROI and return on marketing investment (ROMI). In today's competitive business environment ...
In business and for engineering economics in both industrial engineering and civil engineering practice, the minimum acceptable rate of return, often abbreviated MARR, or hurdle rate is the minimum rate of return on a project a manager or company is willing to accept before starting a project, given its risk and the opportunity cost of forgoing other projects. [1]
Acceptability is an amorphous concept, being both highly subjective and circumstantial; a thing may be acceptable to one evaluator and unacceptable to another, or unacceptable for one purpose but acceptable for another. Furthermore, acceptability is not necessarily a logical or consistent exercise.
Customer satisfaction is a term frequently used in marketing to evaluate customer experience. It is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as "the number of customers, or percentage of total customers, whose reported experience with a firm, its products ...
In the absence of further exposures adstock eventually decays to negligible levels. Measuring and determining adstock, especially when developing a marketing-mix model is a key component of determining marketing effectiveness. There are two dimensions to advertising adstock: decay or lagged effect. saturation or diminishing returns effect.
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
Leeflang and Wittink (2000) [5] have identified five eras of model building in marketing: (1950-1965) The first era of application of operations research and management science to marketing (1965-1970) Adaptation of models to fit marketing problems (1970-1985) Emphasis on models that are an acceptable representation of reality and are easy to use
The term satisficing, a portmanteau of satisfy and suffice, [2] was introduced by Herbert A. Simon in 1956, [3] [4] although the concept was first posited in his 1947 book Administrative Behavior. [ 5 ] [ 6 ] Simon used satisficing to explain the behavior of decision makers under circumstances in which an optimal solution cannot be determined.