Creator Analytics
- STACK: Python, Data Analytics
- Python
- Data Analytics
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebooks
We've worked with digital creators across YouTube, TikTok, and Discord to help them grow their audiences through platform-native strategy, analytics, and smart content positioning. By analyzing key performance metrics like viewer retention and clickthrough rates—and layering that data against platform behavior—we helped creators like Sharp grow from modest beginnings to over 650K YouTube subscribers, 83K TikTok followers, and a thriving 13K+ member Discord server.
Our approach blends hands-on analytics, platform understanding, and custom tooling to identify opportunities for content optimization. Tools like the YouTube Paraphraser were developed in-house to support this work. And while the methodology remains internal, the results speak for themselves: stronger engagement, accelerated growth, and communities that last.
Behind the scenes
Our content growth strategy is powered by a custom analytics pipeline built around tools like Pandas, NumPy, and Matplotlib for data processing and visualization, alongside Jupyter Notebooks for exploratory analysis and prototyping. Engagement metrics such as daily average views, retention curves, and clickthrough behavior are modeled using structured datasets pulled from public and internal sources.
We use statistical grouping and performance scoring across variables like video length, publish timing, and metadata design—enabling pattern recognition without relying on black-box automation. While the underlying methodology remains proprietary, the tooling and process are tuned for repeatable results and data-driven decision making across platforms.
