segmented classification
[/ˈsɛɡ.mən.təd ˌklæs.ə.fɪˈkeɪ.ʃən/]
nounpl: segmented classifications
classificação segmentada
1. A system of organizing or categorizing data, objects, or populations into distinct, non-overlapping segments or groups based on specific criteria or characteristics
The market research team used segmented classification to divide consumers into different demographic groups.
A equipe de pesquisa de mercado usou classificação segmentada para dividir os consumidores em diferentes grupos demográficos.
2. In data science and machine learning, a method of partitioning information into meaningful subsets for analysis or prediction purposes
Segmented classification improved the accuracy of the predictive model by treating different data subsets independently.
A classificação segmentada melhorou a precisão do modelo preditivo ao tratar diferentes subconjuntos de dados de forma independente.
3. In business and marketing, the practice of dividing a market or customer base into distinct segments for targeted strategy development
The company implemented segmented classification to tailor its marketing campaigns to specific customer groups.
A empresa implementou classificação segmentada para adaptar suas campanhas de marketing a grupos específicos de clientes.
Segmented classification is a fundamental concept in Brazilian and American business strategy, particularly in marketing and consumer research. In Brazil, this approach is increasingly important as companies target diverse geographic and socioeconomic segments across the country. The term reflects modern data-driven decision-making practices common in both business cultures.
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