Marketing Analytics Projects
Ads Data Hub Project
Automobile Client
Objective: To build a better marketing strategy and help in campaign optimization.
Ads Data Hub: Google’s secure platform for custom analysis, protecting user privacy. Combines ad campaign data with user-owned data, unlocking insights, optimizing ads, and achieving data-driven goals. Results stored in user’s Google Cloud project. Privacy enforced through checks and data aggregation.
- BigQuery & Looker Studio
Reporting Automation Project
Automobile client
Objective: To streamline and expedite the reporting process
It eliminates manual data collection and analysis, saving time and effort. The system generates comprehensive reports on key metrics, such as ads performance, user experience, and lead quality, facilitating data-driven decision-making for automotive businesses. Ultimately, reporting automation enhances efficiency and provides valuable insights for improved performance.
- SQL, Python, Redshift & Qlik
RFM Analysis Project
E-commerce Client
Objective: To analyze customer behavior and segmentation.
It simplifies customer segmentation and provides valuable insights into customer preferences and loyalty patterns. The RFM analysis helps businesses tailor marketing strategies, improve customer retention, and optimize sales efforts for higher profitability. Ultimately, the project aims to enhance marketing efficiency and drive business growth through data-driven decision-making.
- Python & Power BI
Touchpoint Analysis Project
Objective: To better understand customer interactions across various channels
The touchpoint analysis helps businesses identify key opportunities for improvement, optimize customer experiences, and enhance overall satisfaction. The ultimate goal is to enable data-driven decision-making, strengthen customer relationships, and drive business success in a competitive market.
- BigQuery & Looker Studio
App Uninstall Analysis Project
E-commerce Client
Objective: To understand the reasons behind app uninstalls by users
It identifies patterns and factors contributing to uninstallation. The insights gained help app developers and businesses improve user retention, identify areas for app enhancement, and optimize user experiences. By utilizing data-driven decision-making, the project aims to reduce app churn, increase user satisfaction, and ultimately drive app success in the competitive app market.
- BigQuery ML & Looker Studio
Market Basket Analysis Project
E-commerce Client
Objective: To uncover hidden patterns and associations among products frequently purchased together by customers
It efficiently analyzes transactional data and identifies product relationships, enabling businesses to understand customer preferences and behavior. The insights gained from market basket analysis help optimize product placements, cross-selling strategies, and personalized marketing approaches, leading to increased sales and customer satisfaction.
- Python & Looker Studio
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