Dark Mode
Netflix Watch Activity Dataset
Social Media and Posts
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a detailed usage log from the popular Over-The-Top (OTT) platform Netflix, offering valuable insights for researchers, data scientists, and enthusiasts keen to understand user behaviour within an online streaming service. It is a meticulously curated collection of user interactions, revealing user preferences, device usage, search history, and video consumption patterns. The dataset has been processed to remove all possible personal information, making it suitable for analysis while respecting privacy.
Columns
The dataset comprises six key columns:
- Profile Name: Identifies the user profile on the Netflix account, e.g., User 5, User 8.
- Source: Indicates the device from which the user accessed the platform, e.g., Source 0, Source 1.
- Navigation Level: Describes the specific user navigation operation performed within the platform, e.g., browseTitles, movieDetails.
- Referrer Url: Records the URL that referred the user to the current page, often null or the Netflix login page.
- Webpage Url: Shows the specific webpage URL visited by the user, often null or a browse page.
- Click Utc Ts: Represents the user interaction timestamp, detailing when an action occurred.
Distribution
The data is provided in a CSV file format, specifically named
All_Clickstream.csv, with a file size of 615.44 kB. It contains 6 columns. The dataset includes approximately 12.1k valid records across most key columns such as Profile Name, Source, Navigation Level, and Click Utc Ts. It is worth noting that the 'Referrer Url' and 'Webpage Url' columns are largely absent for most records.Usage
This dataset offers a range of potential applications:
- Personalised Recommendations: Develop advanced recommendation algorithms to offer users tailored content suggestions based on their viewing history, search behaviour, and profile.
- User Experience Enhancement: Pinpoint areas for improvement in the user experience, optimising the platform for various devices and user segments to ensure seamless navigation and content discovery.
- Content Strategy Optimisation: Determine the popularity of specific genres, actors, and directors, informing decisions about content acquisition and creation to meet user demand.
- Market Analysis: Gain insights into competitive landscapes by comparing user engagement, search behaviour, and viewing patterns with other OTT platforms, facilitating data-driven strategic decisions.
Coverage
The dataset's time range spans from 28th July 2022 to 19th June 2023, as indicated by the
Click Utc Ts column. It covers various aspects of user behaviour, including demographic information (implied through user profiles), subscription types, engagement levels, device usage (smartphones, tablets, smart TVs), search history, search result interactions, and diverse video viewing patterns like session duration, preferred genres, and viewing frequency. The data captures general Netflix user activity without specific geographic or detailed demographic breakdowns, having been processed to remove personal identifiers.License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is an ideal resource for researchers, data scientists, and enthusiasts focusing on understanding user behaviour within online streaming services. Specifically, it can benefit those involved in:
- Developing recommendation algorithms.
- Improving user experience and platform optimisation.
- Informing content acquisition and creation strategies.
- Conducting market analysis within the OTT sector.
Dataset Name Suggestions
- Netflix User Engagement Log
- OTT Platform Behaviour Data
- Streaming Service Interaction Logs
- Netflix Watch Activity Dataset
- User Content Consumption Patterns
Attributes
Original Data Source: Netflix Watch Activity Dataset
QUALITY