Customer segmentation divides customers into distinct groups based on shared characteristics. It enables businesses to tailor marketing efforts to meet customer needs. Segmentation improves resource utilization and customer satisfaction
RFM segmentation categorizes customers based on recency, frequency, and monetary value. Method helps businesses understand customer behavior for targeted marketing. RFM analysis uses objective numerical scales for customer segmentation
RFM segments customers based on their transaction history and behavior. Customers are scored based on Recency, Frequency, and Monetary Value. Most recent purchases receive higher scores than infrequent ones. Customers spending more receive higher scores than single purchases
Omnichannel retail has become essential for successful ecommerce businesses. Nearly 90% of consumers want omnichannel experiences. COVID-19 accelerated shift from offline to online shopping. Multichannel sales expected to reach 46% of total ecommerce by 2023
Customer value is what customers perceive as benefits compared to costs. Value includes functional, social, and emotional customer needs. Value = Perceived Value / Price Paid
Automated dashboard visualizes customer value trends and segmentation. Segments customers based on Recency, Frequency, and Monetary factors. Helps identify revenue sources and core customer audience. Increases upsell, CLTV, and RVP through better campaign targeting