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In this project, we focused on a television studio and the decision-making process for producing our next TV show. We conducted a market analysis to understand the content offerings on mainstream platforms like Netflix, Hulu, and Amazon Prime Video, and explored potential market opportunities.

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Jecoc907/Streaming-Ecosystem-Analysis

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Overview

This repository contains our Streaming Ecosystem Analysis, was conducted by Chun Yat (Jeco) Cheung, Tsung-Wei (Weber) Lin, and Kuang Hsuan (Jack) Lee. The goal of this project was to analyze the current streaming market landscape and provide recommendations on what types of TV shows production studios should focus on creating next.

Project Background

The project aims to address the following key questions:

What type of content is sought after by streaming platforms?
What type of content is not currently being offered, and where is there a potential gap?
Which TV shows are successful in the streaming space?
Using various datasets, we analyzed the market to uncover trends, gaps, and successful content strategies.

Datasets

The analysis is based on the following datasets:

Reel Good Data (Scraped from website – 2020): This dataset includes a wide range of information about TV shows available on top streaming platforms.
Ampere Analytics Tracked Content: Provides additional context on the content available on Netflix, Prime, and Hulu.
Nielsen Linear TV Ratings Data: Offers insights into traditional TV viewership, which complements the streaming data.

Methodology

Our approach involved the following steps:

Existing Content Analysis: We examined the types of content currently available on the top 20 streaming platforms, identifying popular genres and tags.
Market Gap Analysis: Using k-means clustering, we identified genre combinations that are highly rated but not prevalent in the market, highlighting potential opportunities.
Successful TV Show Analysis: We defined success criteria for TV shows (high ratings, longevity, and availability on major platforms) and analyzed top shows to understand common traits.

Key Findings

Popular Genres: The most frequent genres across platforms are Drama, Comedy, Animation, Action & Adventure, and Documentary.
Popular Tags: Common tags include Adaptation, Supernatural, Based on Books, Police, and Teen.
Market Trends: There is a growing presence of TV shows from Asian production studios, while the dominance of North American and European shows is declining.
Potential Markets: High-potential genre combinations include Action & Adventure with Biography and Drama, Drama with LGBTQ themes, and Comedy with Drama and Horror.
Successful Shows: Successful TV shows tend to have high audience ratings, longevity (multiple seasons), and availability on major platforms.

Recommendations

Based on our findings, we recommend that production studios focus on creating content in the identified high-potential genres. Although these genres come with higher risk due to limited market presence, they also offer significant growth opportunities.

Report Structure

Introduction: Overview of the project and its objectives.
Methodology: Detailed explanation of the data analysis techniques used.
Findings: Insights into current content offerings, market gaps, and successful TV shows.
Recommendations: Strategic advice for TV studios based on the analysis.

Authors

Chun Yat Cheung
Tsung-Wei Lin
Kuang Hsuan Lee

License

This project is licensed under the MIT License - see the LICENSE file for details.

About

In this project, we focused on a television studio and the decision-making process for producing our next TV show. We conducted a market analysis to understand the content offerings on mainstream platforms like Netflix, Hulu, and Amazon Prime Video, and explored potential market opportunities.

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