๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐ข๐ง๐ ๐๐จ๐ฐ๐๐ซ ๐๐ ๐ฌ๐๐๐ง๐๐ซ๐ข๐จ ๐๐๐ฌ๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง ๐ก
๐บ๐๐๐๐๐๐๐ ๐
You are a data analyst for a global e-commerce company. You need to analyze the performance of your marketing campaigns across different regions and identify which campaigns have the highest return on investment (ROI). Additionally, you want to see how customer acquisition costs (CAC) vary by region and campaign.
๐ธ๐๐๐๐๐๐๐ ๐
How would you use Power BI to create a comprehensive report on marketing campaign performance and ROI analysis?
๐จ๐๐๐๐๐:
For this we are provided with three datasets:
๐๐๐ฆ๐ฉ๐๐ข๐ ๐ง๐ฌ: CampaignID, CampaignName, Region, StartDate, EndDate, Budget
๐๐๐ฅ๐๐ฌ: SaleID, CampaignID, SaleAmount, SaleDate
๐๐ฑ๐ฉ๐๐ง๐ฌ๐๐ฌ: ExpenseID, CampaignID, ExpenseAmount, ExpenseDate
โถ ๐บ๐๐๐ 1: Analyze the dataset thoroughly and perform some data cleaning and transformation steps ๐
โถ ๐บ๐๐๐ 2: Create Measures that are required in accordance with scenario given.
Total Sales = SUM(Sales[SaleAmount])
Total Expenses = SUM(Expenses[ExpenseAmount])
ROI = DIVIDE([Total Sales] - [Total Expenses], [Total Expenses])
Customer Acquisition Cost (CAC): CAC = DIVIDE([Total Expenses], DISTINCTCOUNT(Sales[SaleID]))
โถ ๐บ๐๐๐ 3: Use appropriate filters and visuals according to your requirements. You may use clustered column chart for CAC by region, line chart for sales and expense trends, can add slicers for region, campaign name, and date range, etc.
โถ ๐บ๐๐๐ 4: Analyze the project for some informative insights and trends.
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