Analyzed marketing campaign performance to identify high-ROI customer segments, reduce wasted spend, and improve targeting decisions using data-driven insights.
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Updated
Apr 28, 2026 - Jupyter Notebook
Analyzed marketing campaign performance to identify high-ROI customer segments, reduce wasted spend, and improve targeting decisions using data-driven insights.
A complete end-to-end data analytics project analyzing marketing campaign performance across multiple channels (Search, Social, Email, Display). The goal is to measure campaign effectiveness, optimize spend, and improve ROI.
A Claude Code skill + MCP server setup for expert-level Google Ads campaign analysis
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📊 Analyze marketing campaign performance using Power BI and SQL. Track key metrics to optimize ROI and improve customer acquisition strategies.
SQL project analyzing customer responses to a marketing campaign
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Built an end-to-end marketing analytics pipeline with machine learning and dashboards to optimize campaign performance and ROI.
Marketing campaign performance analysis for Tokobli e-commerce using data analytics to evaluate revenue efficiency and customer participation across major campaigns (10.10, 11.11, 12.12).
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Excel-based marketing analytics project analyzing social media engagement, platform performance, hashtag strategy, and campaign effectiveness for Myntra.
Analyze how customer demographics, lifestyle, and past purchases affect their likelihood to respond to marketing campaigns. Discover actionable insights that help optimize sales funnels and marketing efforts
An animal shelter charity has an influx of litters and needs to customize marketing efforts to support them.
Marketing campaign ROI analysis using SQL, Python and Power BI
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