Analysis of Customer Sales and Purchase Behavior

As a data analyst, I was tasked with analyzing the customer sales and purchase behavior of a retail store. I collected and analyzed customer data such as transaction history, customer demographics, product category preferences, and average spend per visit.

Using statistical analysis and data visualization techniques, I was able to identify key patterns and trends in customer behavior, such as popular product categories, peak sales periods, and customer spending habits. I also performed regression analysis to identify factors that influence customer spending and used predictive modeling to forecast future sales.

The insights gained from this analysis were used to make data-driven decisions on marketing strategies, pricing, inventory management, and store layout optimization. This resulted in an increase in customer engagement and satisfaction, as well as improved business performance and profitability.