Data Analysis with power bi 📊

This analysis aims to provide comprehensive insights into customer behavior, purchasing patterns, and marketing campaign effectiveness using a dataset from a retail company. The dataset encompasses detailed information on customer demographics, such as age, education level, marital status, household composition, and annual income. Additionally, it includes data on customer spending across various product categories over the past two years. The analysis focuses on understanding key factors that influence customer spending and identifying segments based on purchasing behavior.t here...

A significant part of this study evaluates customer responses to marketing campaigns. By analyzing data on campaign acceptance across multiple initiatives, we assess the effectiveness of different marketing strategies and identify potential drivers of customer engagement. The analysis also explores customer satisfaction by examining complaint records and their relationship to spending and campaign responses. Furthermore, recency metrics and behavioral patterns are used to predict potential customer churn and inform strategies for customer retention.

Overall, the findings of this analysis will help in developing targeted marketing strategies, enhancing customer experience, and optimizing sales efforts. By segmenting customers and assessing campaign impact, businesses can tailor their offerings and improve overall profitability. This study provides actionable insights that can be used to refine marketing approaches and drive sustainable growth in customer engagement and revenue.