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

1. 1Collect 18 operational variables related to customer journeys
2. 2Build a predictive model using an interpretable AI approach
3. 3Compare the performance of the model with traditional machine learning models like XGBoost, CatBoost, and Random Forest
4. 4Analyze the results to identify key factors that control NPS scores
5. 5Implement the predictive model to intervene in customer journeys and improve satisfaction

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

💡 Using an interpretable AI approach can reveal key factors that control NPS scores and improve customer satisfaction

📊 Build a predictive model to understand customer satisfaction and surpass traditional ML models! 🚀