Customer Segmentation Model

Arpit Verma, a Data Scientist at Flipkart, developed a customer segmentation model to improve targeted marketing efforts. Using machine learning techniques, Arpit segmented customers based on purchasing behavior, demographics, and interactions with the brand. The model I was designed to help businesses better understand their customer base, optimize their marketing strategies, and deliver personalized experiences. Arpit applied advanced clustering algorithms to categorize customers into different groups, each exhibiting unique behaviors. By analyzing these groups, the company can target customers more effectively with personalized promotions, product recommendations, and tailored messaging. This model demonstrated how data-driven insights can drive business decisions, improve customer satisfaction, and ultimately increase sales.