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Blinkit Marketing Performance Analysis

This project analyzes Blinkit's marketing performance by exploring how various marketing channels and campaigns impact user engagement and conversions. It helps identify which channels deliver the best returns and where improvements can be made.

April 2025
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Blinkit Marketing Performance Analysis

About This Project

Analyzed the marketing performance of various channels for Blinkit to uncover insights into user engagement, conversions, and return on investment.

Built a comprehensive dashboard that highlights key business metrics and answers strategic questions such as which channels drive the most customer acquisition, which campaigns deliver the strongest ROI, and how seasonal trends affect revenue.

The project involved cleaning and transforming the dataset using SQL, calculating new performance metrics (like ROAS and CTR), and visualizing findings in Power BI to support data-driven decision-making.

Key outcomes included

•Developed intuitive visualizations to monitor conversions, revenue, ROI, and channel-wise performance, enabling easy comparison and performance tracking.
•Generated insights around channel effectiveness, campaign ROI, and customer acquisition patterns, highlighting which channels delivered the highest returns and which underperformed.
•Identified behavioral and temporal trends, including seasonal performance shifts and diminishing returns from increased spend on certain channels.
•Delivered actionable recommendations focused on reallocating budget toward high-performing channels, optimizing low-ROI campaigns, and improving overall marketing efficiency through data-driven decision-making.

Technologies Used

Power BIMySQLPythonSQLAlchemy

Project Files

Source Code Repository

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