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
Action Steps
- Apply factor analysis to reduce dimensionality of customer data
- Use clustering algorithms to group similar customers
- Configure clustering parameters to optimize persona identification
- Test and validate the resulting personas using statistical metrics
- 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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