A Satisfação do Cliente Não é um Mistério. É uma Equação.

📰 Medium · Machine Learning

Learn how to predict customer satisfaction using machine learning and identify key factors that influence NPS scores

intermediate Published 13 Apr 2026
Action Steps
  1. Collect data on customer journeys and NPS scores
  2. Use machine learning algorithms such as XGBoost, CatBoost, and Random Forest to predict NPS scores
  3. Implement an interpretable AI model to identify key factors that influence NPS scores
  4. Compare the performance of different machine learning models to select the best one
  5. Use the insights from the model to inform product decisions and improve customer experience
Who Needs to Know This

Data scientists and product managers can benefit from this article to improve customer experience and predict NPS scores

Key Insight

💡 An interpretable AI model can reveal the key factors that control NPS scores and outperform traditional machine learning algorithms

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Predict customer satisfaction with machine learning! 💡
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