Overview This dataset contains 25,000 fictional Netflix user records generated for analysis, visualization, and machine learning practice. It includes demographic details, subscription type, watch time, and login history for each user.

Columns User_ID – Unique identifier for each user Name – Randomly generated name Age – Age of the user (13 to 80) Country – User’s country (randomly chosen from 10 options) Subscription_Type – Type of Netflix plan (Basic, Standard, Premium) Watch_Time_Hours – Total hours watched in the last month Favorite_Genre – User’s preferred genre Last_Login – Last recorded login date within the past year

Use Cases Data visualization and analytics Customer segmentation and trend analysis Machine learning model testing (e.g., churn prediction, recommendation systems) This dataset is synthetic and does not contain real user data. Feel free to use it for experiments and projects! 🚀

Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** million subscribers compared to the previous quarter, solidifying Netflix's position as a dominant force in the streaming industry. Adapting to customer losses Netflix's growth has not always been consistent. During the first half of 2022, the streaming giant lost over *** million customers. In response to these losses, Netflix introduced an ad-supported tier in November of that same year. This strategic move has paid off, with the lower-cost plan attracting ** million monthly active users globally by November 2024, demonstrating Netflix's ability to adapt to changing market conditions and consumer preferences. Global expansion Netflix continues to focus on international markets, with a forecast suggesting that the Asia Pacific region is expected to see the most substantial growth in the upcoming years, potentially reaching around **** million subscribers by 2029. To correspond to the needs of the non-American target group, the company has heavily invested in international content in recent years, with Korean, Spanish, and Japanese being the most watched non-English content languages on the platform.

Netflix's video on-demand streaming service has been attracting mostly adults aged between 25 and 34 years old, with respective shares of ** and ** percent during the first quarter of 2017 and the first quarter of 2018. This was followed by the ** to ** and the 18 to 24 years old age groups.

Time spent on Netflix in the United Kingdom (UK)

In a survey conducted in 2018, over half of the respondents aged between 15 and 34 years old stated watching Netflix weekly. That same year, British consumers were estimated to have spent 134 minutes per day on average watching Netflix.

  Increase in Netflix usage

The number of households in the UK subscribing to Netflix has been rising steadily from 2014 to 2019, reaching **** million subscribers as of the fourth quarter of 2019. Netflix revenues experienced a subsequent increase during this period and were estimated to grow further to over *********** U.S. dollars by 2020.

The streaming world revolves significantly around Netflix, which continues to deepen its impact on global entertainment and media consumption. From the rise of ad-supported tiers to strategic live-event programming, Netflix’s evolution is visible in both consumer behavior and industry economics. For example, major sports and original releases have translated into...

Netflix is distinctly more popular with younger consumers in the United States than with older generations. According to the findings of a recent survey, around ** percent of respondents aged 18 to 34 subscribed to Netflix as of mid-2021, compared to just ** percent of those aged 65 or above. Netflix predicts further subscriber loss Netflix is the most popular subscription video-on-demand (SVOD) service worldwide. Millions of viewers from various demographics access the platform each day, but despite its availability in over *** countries and its ever-expanding content catalog, Netflix reported a subscriber loss of around *** thousand in the first quarter of 2022. It was the first time in over a decade that the streamer experienced a drop in user numbers, but according to the company, this downward trend might very well continue in the second quarter of the year. According to company reports, Netflix expects to lose an additional * million subscribers by mid-2022. Cracking down on password sharing Credential sharing has become an essential part of the video-on-demand (VOD) experience. Companies can stand out in today’s crowded streaming space by offering viewers to create multiple profiles and split subscription costs with other people in their household – which might be particularly appealing to younger audiences. Netflix is one of the first services to have provided multiple subscription options at various price tiers, but even so, the company has also acknowledged that millions of people share their login data without paying for additional accounts. In 2021, Netflix was estimated to have lost over **** billion U.S. dollars in revenue due to password sharing. In 2022, the company reacted by announcing to charge additional sub-account fees for people streaming content outside the primary account holder’s household.

In an era dominated by streaming services, Netflix stands as one of the undisputed giants in the world of entertainment. With its vast library of movies, TV shows, documentaries, and more, it has become a household name for millions of viewers worldwide. But what keeps us glued to the screens? These questions, among others, have prompted my classmates and me to delve deep into the world of Netflix.

Hence, this dataset showcases a diverse range of preferences and opinions, offering insights into the habits and experiences of Netflix users across various demographics.

Demographic: - Gender - Age

Netflix user's behaviour: - What types of content do you most often watch on Netflix? - How often do you watch Netflix? - How do you typically discover new content to watch on Netflix? - What devices do you primarily use to access Netflix? - How satisfied are you with the overall Netflix user interface and browsing experience? - Why is this rating?

This dataset from Netflix Research provides insights into the viewing habits of Netflix subscribers across various countries. It offers a detailed look at demographic information and preferred genres, allowing us to better understand our customers.

Daily Netflix use is most common among younger age groups in the United States, a survey from 2025 found. Americans aged 55 years or older were least likely to use Netflix on a daily basis, as ** percent in this age group stated they did so. By contrast, ** percent of Americans between 25 and 34 years watched Netflix at least once a day.

Netflix continues to dominate the UK streaming landscape, with **** million households subscribing to the service in the second quarter of 2025. This marks a slight increase from **** million subscribers in the first quarter of 2025, demonstrating the platform's enduring popularity despite fierce competition in the video-on-demand landscape. Netflix's competitors While Netflix remains the leading subscription video-on-demand service in the UK in terms of customer numbers, Amazon Prime Video boasts the largest content library among major SVOD platforms, with nearly ****** hours of content available as of May 2024. However, when it comes to market share based on user interest, Netflix still holds the top spot, edging out providers such as Amazon Prime Video, Disney+, and Apple TV+. Demographic preferences Interestingly, streaming preferences vary across age groups. Among viewers aged 65 and above, Amazon Prime Video is the preferred choice in the UK for ** percent, while Netflix captures one-third of this demographic. This contrasts with the overall market dominance of Netflix, suggesting that older audiences may have different content preferences.

Description:
This dataset contains detailed information about Netflix users, including their subscription behaviors, engagement metrics, and demographic details. It encompasses various attributes such as subscription length, customer satisfaction scores, daily watch time, preferred genres, devices used, regional distribution, payment history, and churn status. The data can be used to analyze user retention, identify factors influencing customer satisfaction, and explore trends in viewing habits across different regions and demographics. Key features include:

Customer ID: Unique identifier for each user.
Subscription Length (Months): Duration of the user's subscription.
Customer Satisfaction Score (110): Selfreported satisfaction level.
Daily Watch Time (Hours): Average hours spent watching content daily.
Engagement Rate (110): Metric indicating user interaction with the platform.
Device Used Most Often: Primary device for streaming (e.g., Smart TV, Mobile, Laptop).
Genre Preference: Favorite content genre (e.g., Action, Drama, Comedy).
Region: Geographic location of the user.
Payment History: Ontime or delayed payments.
Subscription Plan: Tier of service (Basic, Standard, Premium).
Churn Status (Yes/No): Whether the user has canceled their subscription.
Support Queries Logged: Number of customer support interactions.
Demographics: Age and monthly income.
Promotional Offers Used: Count of promotional offers utilized.
Number of Profiles Created: Profiles set up under the subscription.

This dataset is ideal for predictive modeling (e.g., churn prediction), customer segmentation, and market research to enhance user experience and business strategies for streaming platforms.

Welcome to the Comprehensive Usage Log Dataset of the popular Over-The-Top (OTT) Platform Netflix. This dataset is a valuable resource for researchers, data scientists, and enthusiasts interested in understanding user behaviour within a popular online streaming service. This meticulously curated dataset offers a rich and diverse collection of user interactions, providing insights into user preferences, devices the platform has been accessed from, search history, and video consumption patterns on the OTT platform.

The dataset provided has been processed to remove of all possible personal information. The code helps you remove all possible personal information and create a new dataset with same structure. You can get the actual data from your Netflix account by raising a request from their website. To fetch your data 1. Login to the website 2. Select the profile of the account holder 3. Click on their icon in the top-right corner of the screen and choose Account 4. Under settings, click on Download your personal information. 5. Press the button to Submit Request 6. Netflix will email the main account holder when the file is ready to download.

This web page Netflix personal information has the steps to request your user data from Netflix.

Dataset Highlights:

• User Profiles: Gain a deeper understanding of OTT users by exploring their demographic information, subscription type, and engagement levels. Analyze how different user segments interact with the platform.
• Device Information: Study the devices used to access the OTT service, including smartphones, tablets, smart TVs, and more. Uncover trends in device preference and platform optimization for different devices.
• Video Search History: Delve into the search behavior of users to uncover popular search queries, trending topics, and user preferences. Discover how search queries evolve over time and the content users are most interested in.
• Search Result Interactions: Explore how users interact with search results. Understand which search results receive the most clicks, which are ignored, and how search result interaction influences video selection.
• Video Viewing Patterns: Analyse user video viewing behaviour, including session duration, preferred genres, most-watched videos, and viewing frequency. Gain insights into binge-watching habits and content consumption preferences.

Potential Use Cases:

• Personalized Recommendations: Leverage the dataset to develop advanced recommendation algorithms that provide users with tailored content suggestions based on their viewing history, search behavior, and user profile.
• User Experience Enhancement: Identify pain points and areas of improvement in the user experience. Optimize the platform for different devices and user segments to ensure seamless navigation and content discovery.
• Content Strategy Optimization: Use the dataset to determine the popularity of certain genres, actors, directors, and more. Make informed decisions about content acquisition and creation to meet user demand.
• Market Analysis: Gain competitive insights by comparing user engagement, search behavior, and viewing patterns with other OTT platforms. Understand market trends and make data-driven strategic decisions.

According to a survey conducted in March 2023, ** percent of respondents in the United States watched Netflix on a daily basis, while the share of daily Netflix users was similar for men as well as for women. Almost ************ people interviewed have not watched the streaming service at all in the month prior to the survey period.

Netflix, Inc. provides entertainment services. It offers TV series, documentaries, feature films, and mobile games across various genres and languages. The company provides members the ability to receive streaming content through a host of internet-connected devices, including TVs, digital video players, television set-top boxes, and mobile devices. It also provides DVDs-by-mail membership services in the United States. The company has approximately 222 million paid members in 190 countries. Netflix, Inc. was incorporated in 1997 and is headquartered in Los Gatos, California.

Key Video Streaming App StatisticsTop Video Streaming AppsVideo Streaming App RevenueVideo Streaming Subscribers by AppVideo Streaming Users by AppUS Video Streaming App Market ShareUK Video...

A survey, conducted in November 2022 in the United States, found that the frequency of Netflix use varied depending on ethnicity. For instance, the majority of white respondents (** percent) stated to have not watched Netflix at all in the month prior to the survey, while the share of daily watchers stood at ** percent. This share is highest among black respondents, at ** percent, while *** in three Hispanic respondents use the streaming service on a daily basis.

The number of Netflix viewers in the United States was reportedly expected to reach ***** million as of 2021, and is forecast to increase annually. By the year 2025, it is projected that there will be over *** million people in the U.S. watching content on the video-on-demand platform.

Comprehensive YouTube channel statistics for netflix party, featuring 486,000 subscribers and 105,253,114 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 143 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Netflix Brasil, featuring 14,600,000 subscribers and 2,994,722,019 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in BR. Track 7,156 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Netflix Türkiye, featuring 1,720,000 subscribers and 633,651,922 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in TR. Track 3,531 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Netflix Deutschland, Österreich und Schweiz, featuring 893,000 subscribers and 286,591,446 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in DE. Track 3,847 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.