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Microsegmenting
Microsegmentation is a marketing process that uses techniques such as data mining, artificial intelligence, and algorithms to recognize and predict minute consumer spending and behavioral patterns. The collected information is used to help marketers identify extremely precise microsegments (down to the individual consumer level). Microsegments can then be the focus of personalized direct micromarketing and micropromotion campaigns. This form of micromarketing Micromarketing was first referred to in the UK marketing press in November 1988 in respect of the application of geodemographics to consumer marketing. The subject of micromarketing was developed further in an article in February 1990, which emph ... considers that each consumer has different ideas and feelings about a company’s products, services, prices, and promotions, and sets out to recognize these differences and respond to them in an appropriate manner. References Market segmentation {{business-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microsegments
In marketing, a microsegment is a more advanced form of market segmentation that groups a number of customers of the business into specific segments based on various factors including behavioral predictions. Once identified, microsegments can become the focus of personalized direct micromarketing campaigns, each campaign is meant to target and appeal to the specified tastes, needs, wants, and desires of the small groups and individuals that make up the microsegment. The goal of microsegments is to determine, which marketing actions will have the most impact on each set of customers. Overview Microsegments aim to limit customers into very small segments or even as individuals. This helps modern marketers to determine exactly what the customer wants at every level. Microsegments usually contain very few customers each that allows predictive analysis and marketing action. Microsegments help marketers target their audience needs more specifically. This can be done through a combination ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microsegment
In marketing, a microsegment is a more advanced form of market segmentation that groups a number of customers of the business into specific segments based on various factors including behavioral predictions. Once identified, microsegments can become the focus of personalized direct micromarketing campaigns, each campaign is meant to target and appeal to the specified tastes, needs, wants, and desires of the small groups and individuals that make up the microsegment. The goal of microsegments is to determine, which marketing actions will have the most impact on each set of customers. Overview Microsegments aim to limit customers into very small segments or even as individuals. This helps modern marketers to determine exactly what the customer wants at every level. Microsegments usually contain very few customers each that allows predictive analysis and marketing action. Microsegments help marketers target their audience needs more specifically. This can be done through a combination ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Micromarketing
Micromarketing was first referred to in the UK marketing press in November 1988 in respect of the application of geodemographics to consumer marketing. The subject of micromarketing was developed further in an article in February 1990, which emphasised understanding markets at the local level, and also the personalisation of messages to individual consumers in the context direct marketing. Micromarketing has come to refer to marketing strategies which are variously customised to either local markets, to different market segments, or to the individual customer. Micromarketing is a marketing strategy in which marketing and/or advertising efforts are focused on a small group of tightly targeted consumers. For example, markets can be grouped into narrow clusters based on commitment to a product class or readiness to purchase a given brand. The approach requires a company to define very narrow market segments, and tailor offers or campaigns for that segment. Although, the approach can ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and G ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm can be expressed within a finite amount of space ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
