Ten audiences to map to improve your Retention
Discover how machine learning applied to RFM analysis can transform customer segmentation, allowing you to personalize marketing strategies and maximize your eCommerce value.
Not all customers are the same, and treating them equally can mean wasting valuable resources.
This white paper explores how to apply machine learning to RFM (Recency, Frequency, Monetary Value) analysis to identify your most valuable customers and personalize marketing strategies.
Through clustering algorithms like K-Means, you'll learn how to segment your customer database into 10 “typical” audiences, gaining deeper insights into their purchasing habits and their value to your business.
The result? More effective strategies to retain your best customers, optimize resources, and maximize the value of your eCommerce.
