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This project focused on analyzing the performance of various digital marketing campaigns using a dataset of 1,000 campaign IDs across five campaign types and six marketing platforms. The goal was to uncover the most effective platforms and campaigns in terms of revenue, ROAS, conversions, and cost efficiency. The analysis was completed using Power BI.
You can check the Dashboard and interact with it via this link - https://app.powerbi.com/links/RfWMWiQtCJ?ctid=6c4cef46-5f61-476a-9ecd-dddbc8c78dd2&pbi_source=linkShare
Power BI for data modeling, visualization, and dashboard creation
Power Query for data transformation and cleaning
DAX for calculated measures and KPIs
Interactive slicers for platform and campaign filters
Metric Value
Total Revenue $10.41 million
Total Ad Spend $2.72 million
Cost per Conversion $10.79
Conversion Rate 1.01%
ROAS 3.83
Total Conversions 252,000
9 Visualizations (bar charts, line graphs, funnel, maps)
7 Key Performance Indicators (KPIs)
2 Slicers for dynamic filtering by platform and campaign
π Instagram had the highest conversion rate, making it ideal for engagement-focused campaigns.
π Google Ads generated the highest total revenue, indicating strong reach and customer intent.
π Email campaigns yielded the best ROAS, proving cost-effective for direct conversions.
π Twitter had the highest cost per conversion, suggesting a lower ROI and room for optimization.
π The "Summer Sale" campaign performed best in both conversions and click-through rateβa strong seasonal opportunity to replicate.
Platforms: Email, Facebook, Google Ads, Instagram, Twitter
Campaign Types: Summer Sale, Black Friday, Holiday Promo, Spring Offer, Winter Discount
The dashboard provided a clear, data-driven overview of campaign performance, helping stakeholders identify high-performing platforms and campaigns to optimize future ad spend and strategy.