Segmentando Clientes com Análise Fatorial e Clustering

📰 Medium · Data Science

Learn to segment customers using factor analysis and clustering, reducing 14 variables to 4 personas

intermediate Published 17 Jul 2026
Action Steps
  1. Apply factor analysis to reduce dimensionality of customer data
  2. Use clustering algorithms to group similar customers
  3. Configure clustering parameters to optimize persona identification
  4. Test and validate the resulting personas using statistical metrics
  5. Compare the effectiveness of different clustering techniques
Who Needs to Know This

Data scientists and analysts can benefit from this technique to identify customer groups and inform marketing strategies

Key Insight

💡 Factor analysis and clustering can help reduce complex customer data to actionable personas

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Segment customers with factor analysis & clustering #datascience #customersegmentation

Key Takeaways

Learn to segment customers using factor analysis and clustering, reducing 14 variables to 4 personas

Full Article

De 14 Variáveis a 4 Personas Continue reading on Medium »
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