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The goal of this project was to analyze BTS’s global commercial trajectory and transform complex industry data into a clean, executive-ready market research report. The main challenge was organizing high-volume streaming, sales, and touring metrics into a structured format built for fast decision-making.
Key Solutions Provided:
Executive Summary: Synthesized high-level business takeaways for leadership and stakeholders.
Data Analysis & Visualization: Detailed breakdown of core metrics, including consecutive IFPI Global Artist titles, YouTube 24-hour debut records (108.2M+ views), and Spotify streaming milestones.
Chart & Economic Benchmarks: Documented Billboard Hot 100/200 performance, $246M+ stadium tour economics, and South Korean album sales records.
Strategic Frameworks: Highlights on direct-to-consumer (D2C) fan engagement models (Weverse) and multi-channel IP monetization.
Skills Applied: Business Report Writing, Market Research, Executive Summaries, Data Analysis, and Visual Document Design.
The network for creativity
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See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, I’m structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isn’t just to answer:
“What happened?”
It’s to answer:
“What should we do next?”
Because the most useful analytics system isn’t the one with the most charts.
It’s the one that makes the next business decision clearer.
Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management
Marketing AnalyticsData AnalysisecommerceeCommerce ManagementMicrosoft ExcelMicrosoft Power BIShopify
Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.
I’ve had the opportunity to review the project and understand its overall direction. I’m currently looking at how I can contribute to improving the store’s presentation, user experience, and overall performance. My goal is to approach the work strategically, identify the areas with the greatest potential, and make improvements that support the business’s growth.
