Customer Spending Insight Dashboard

Highlighting Problem-Solving and Strategic Value Created an insightful Customer Spending Insights Dashboard using Power BI to uncover vital patterns in customer data. By analyzing factors such as income distribution, campaign acceptance rates, and customer recency, the dashboard reveals key insights into which customer segments respond to campaigns and how spending varies across products and demographics. This analysis provides a foundation for optimizing marketing strategies, enhancing customer loyalty, and driving revenue growth. Key elements these summaries include: Project Title: "Customer Spending Insights Dashboard" Tool Used: Power BI Key Analytical Focus: Customer demographics, purchasing behavior, campaign effectiveness, spending patterns, customer segmentation, product preferences, income groups, customer retention. Metrics Highlighted (implicitly or explicitly): Average Income, Total Revenue, Campaign Acceptance Rate, Spending per Customer, Aggregate Spending, Marital Status, Product Spending, Income Groups, Campaign Acceptance by Income, Customer Recency. Business Value/Actionable Insights: Targeted marketing, customer retention, optimizing marketing strategies, enhancing loyalty, driving revenue growth, strategic decision-making. Skills Demonstrated: Data analysis, data visualization, leveraging key metrics, interactive dashboard design, clear visual storytelling.