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*ShopEasy Market Analysis: Turning Raw Data into Actionable Insights*

I recently completed an end-to-end data analytics project for ShopEasy, covering the full pipeline from SQL Server data cleaning to an interactive Power BI dashboard.

*📊 Key Metrics Uncovered:*

🔹 9.57% Conversion Rate

🔹 $219.01 Average Order Value

🔹 3.69 Customer Feedback Score

🔹 24.22% Engagement Rate

🔹 9.1M Total Views | 1.8M Total Clicks

*🔍 What the Data Revealed:*

The dashboard surfaced some critical trends — customer engagement dropped sharply over the year (from 4.6M to 2.7M interactions per quarter), the checkout stage showed a significant drop-off compared to homepage and product page visits, and feedback scores declined steadily from 3.73 to 3.66 year over year.

*💡 Turning Insights into Action:*

Based on these findings, I put together clear, data-backed recommendations:

✅ Launch targeted re-engagement campaigns

✅ Simplify and optimize the checkout flow

✅ Improve quality on consistently low-rated products

✅ Act on customer feedback to reverse the yearly decline

This project reinforced how powerful it is to pair clean, validated data with clear storytelling — a dashboard is only as good as the decisions it drives.

🛠️ Tools used: SQL Server | Power BI | DAX

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