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Netflix has all your watch data.
But unlike Spotify Wrapped, it never turns it into a yearly recap.
Because “19 full days watched this year” doesn’t create joy.
It creates reflection.
That’s cognitive dissonance.
Some metrics drive engagement.
Others make you question the habit.
Thats a great point i have thought of. Thank you !
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Netflix has a massive content library, but how well is it balanced? Are they meeting audience preferences? The client needed a clear, data-backed understanding of their content composition specifically, the ratio of movies to TV shows, genre distribution, regional availability, and content rating trends, to inform strategic decisions about future content acquisition and production.
I conducted a comprehensive analysis of Netflix's content library using data sourced from Kaggle. My process and deliverables included:
1. Data Preparation (Excel): Cleaned and structured the raw dataset for analysis, ensuring data quality and consistency.
2. Data Querying (SQL): Wrote queries to extract key metrics—content count by type, genre distribution, rating categories, and country-wise availability.
3. Data Visualization (Tableau): Created interactive dashboards and visualizations to bring the data to life, including:
i. Bar Charts: Showed the dominance of Drama, Documentaries, and Stand-up Comedy as top genres.
ii. Map Visualization: Highlighted the USA (2,818 titles) and India (972 titles) as the countries with the most content.
iii. Pie Chart: Visualized the 69.6% (movies) vs. 30.4% (TV shows) split.
- Statistical Analysis (t-test): Performed a t-test confirming a statistically significant difference between movie and TV show uploads (t-value = 56.60, p-value = 0).
- Trend Analysis: Identified the 2019 peak in content uploads and the subsequent decline in 2020–2021, correlating with the rise of competing platforms and the COVID-19 economic downturn.
Strategic Recommendations: Provided actionable insights for Netflix:
i. Increase TV show content to balance audience preferences.
2. Experiment with short-form content to attract broader audiences.
3. Conduct user surveys to align content strategy with viewer demand.
4. Study competitor patterns and emerging trends to stay ahead.
A clear, data-driven analysis that provided Netflix with a comprehensive understanding of its content library and actionable recommendations to improve viewer engagement and retention.
project link: https://app.flowstep.ai/file?activeFileId=c8f98ac8-2246-4a9b-a7fb-4447863cc4d7
linkedin post link: https://www.linkedin.com/posts/christa-maria-el-hage-34901127b_flowstepchallenge-ugcPost-7485658897421238273-OWL0/?utm_source=share&utm_medium=member_ios&rcm=ACoAAEQqyakBs9q6sTNWuVY-vt7pjEQqhDaCeUk
ReturnEasy is an AI-powered purchase management platform that helps users organize online orders, track return deadlines, monitor refunds, and manage warranties in one place. I built it because online shopping has become easier, but managing receipts, return policies, and refunds is still frustrating and time-consuming. ReturnEasy gives users a smarter way to protect their purchases and never miss important deadlines again.
#flowstepchallenge
A new day, a new Daily UI challenge.
This time, the challenge was to design a music player interface for the Apple Watch. I took inspiration from my favorite artist, Natalia Lafourcade, and combined some basic animation techniques in After Effects with a UI designed in Figma.
It was a really fun challenge that I completed some time ago. Looking back at it now, I can't help but wonder if I could recreate the spinning vinyl effect using Figma Motion...
I guess there's only one way to find out... 🎵✨
The color choice, mockups the presentation, and overall is flowing. Animation speeds are just on point too, good work!
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