Predictive Customer Analytics

Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior

Created by: Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

What Will I Learn?

• Discover how to preprocess customer data for predictive modeling using Excel.
• Master the application of linear regression in Excel to predict customer behavior.
• Explore the use of logistic regression for customer churn prediction and retention strategies.
• Analyze customer data using clustering techniques to segment customer groups.
• Build sales forecasting models using Excel’s Solver and time series analysis.
• Implement XLSTAT for advanced statistical analysis in customer predictions.
• Develop and run logistic regression models using Excel Macros for automation.
• Predict future customer behavior with additive and multiplicative time series models.
• Interpret the results of regression and clustering models to make actionable business decisions.
• Evaluate the effectiveness of your predictive models in improving customer retention and business strategies.

Requirements

• A PC/ laptop with good internet connection and MS Excel installed on it

Target audience

• Marketing professionals who want to use data to predict customer behavior and enhance targeted campaigns.
• Sales managers looking to forecast sales trends and improve customer retention strategies.
• Data analysts who want to build predictive models in Excel without needing complex coding skills.
• Small business owners aiming to make data-driven decisions to optimize customer acquisition and retention.