Inspiration

Mobile app analytics is one of the most critical yet complex tasks for improving app performance. Tracking acquisition, retention, cohort creation, and funnels is key to understanding user journeys. With the rapid rise of AI text humanization tools, I was inspired to explore how users interact with these applications and to build a solution that reveals behavior, performance, and monetization trends through actionable insights.

What it does

Undetectable AI Text Humanizer Analytics is a dashboard that tracks user engagement, retention, traffic sources, and feature adoption. It turns raw data into clear, interactive visualizations, helping developers and businesses understand how users interact with AI-powered apps.

How I built it

I integrated Firebase with BigQuery, then exported the data into CSV files using SQL queries for analysis. After cleaning and merging the datasets, I designed an interactive dashboard with Plotly Dash. From data preparation to visualization, I built the entire project end-to-end.

Challenges I ran into

Integrating Firebase with BigQuery was a steep learning curve.

Designing KPIs that truly measure engagement and monetization.

Overcoming publishing and export challenges with Plotly dashboards.

Accomplishments I’m proud of

Built a complete analytics dashboard as a solo developer.

Learned Firebase-to-BigQuery integration in depth.

Applied advanced visualization techniques in Plotly Dash.

Transformed raw data into meaningful, decision-ready insights.

What I learned

Data cleaning and merging across multiple sources.

How to design interactive dashboards that drive clarity.

The importance of presenting analytics in a way that supports real-world decisions.

What’s next

Expanding the dashboard with predictive analytics for user growth.

Incorporating more datasets to broaden the scope of insights.

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