Entertainment Data

Entertainment data is information on the music, movie and television industry. It's used by entertainment and media companies to assess the entertainment interests and needs of consumers. Datarade helps you find entertainment data APIs, datasets, and databases. Learn more →
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1 country covered
2 years of historical data
Streaming & Linear TV shows, apps, devices and panelist engagement metrics collected from a representative US panel
157 countries covered
Most comprehensive sports API data stream provided by API-Sports for $39 per month.
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1 country covered
Exercise / Functional Training / Outdoor Exercise Dataset
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Above Data
Based in USA
Above Data
Above Data procures and packages unique data assets in a flexible, intuitive and no-code environment allowing you to get quick answers before the competition
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API-SPORTS
Based in France
API-SPORTS
Restful API for Football data +550 competitions covered with Livescore, standings, teams, odds, bookmakers, fixtures, events, line-ups, players, coachs, stat...
SportMonks
Based in Germany
SportMonks
SportMonks is a Sports Data provider for customers that want to build sports websites and applications by using our Sports API's. The Sports Data can by used...
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The Ultimate Guide to Entertainment Data 2021

Learn about entertainment data analytics, sources, and collection.

What is Entertainment Data?

As the entertainment industry continues to transform and find new places in digital spaces, entertainment and media companies are becoming increasingly aware of the need to embrace big data analytics and data science to drive sales. Through big data analytics, media companies can now predict what consumers need through a detailed assessment of their interests by analyzing the entertainment data. As such, entertainment data provides media companies with comprehension of consumer’s media consumption preferences and behaviors.

How is Entertainment Data collected?

Modern consumers have shifted focus from the traditional analog forms of entertainment and fully embraced the digital online-based forms of entertainment. It is against this backdrop that modern consumers of entertainment use digital devices to search and access media content anywhere and anytime. Using digital trails, entertainment and media companies can now access consumer data and use it to unlock insights such as social media listening. By using the digital evidence that consumers leave online, entertainment companies can create profiles that precisely identify audiences.

What are the key attributes of Entertainment Data?

Big data analytics has created room for the entertainment industry to use in evaluating past information, as a result of making creative marketing decisions and predict the consumer reception of what is to be released. Therefore, the core attribute of entertainment data is its ability to create profiles that depict and predict consumer behaviors, habits, and interests and thus pushing media content that will most likely appeal to the specific type of audience.

What is Entertainment Data used for?

Media and entertainment companies can reap the benefits of big data analytics through the following ways:

**Predicting the kind of entertainment content audiences will love **- Media companies can get rid of the guesswork and properly narrow down on what target consumers are looking for through viewing history, searches, reviews, ratings, location, and device data.

Scheduling optimization - Through entertainment data analytics, media and entertainment companies can accurately predict the precise time when consumers are likely to view content and from what device. This can be attained through scaling and analyzing the specific ZIP codes of consumers and thus enhancing the location-based distribution of content.

Snowballing acquisition and building customer base - By properly tracking down of consumers’ activities on the internet, media and entertainment companies can comprehend what consumers want and create quality promotional and product strategies that will go a long way in attracting and retaining these customers.

How can a user assess the quality of Entertainment Data?

Users of entertainment data can assess its quality by identifying what they want and by making sure that the data they will be able to meet their needs. Thus, the quality of entertainment data is grounded in its ability to accurately identify different niches of the entertainment and media industries. Furthermore, due to advancements in technology, the quality of entertainment data ought to accurately depict the contemporary shift in consumer trends such as the embrace of digital platforms for entertainment purposes. As such, the best entertainment data will be strong when it comes to predicting future trends and how best it depicts current trends in the entertainment industry.

Who are the best Entertainment Data providers?

Finding the right Entertainment Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Entertainment Data providers that you might want to buy Entertainment Data from are Above Data, API-SPORTS, SportMonks, Esports Charts, and Automaton AI .

Where can I buy Entertainment Data?

Data providers and vendors listed on Datarade sell Entertainment Data products and samples. Popular Entertainment Data products and datasets available on our platform are Streaming & Linear TV Viewership Data by Above Data, Sports Data Product - Mega Plan by API-SPORTS, and Exercise / Functional Training / Outdoor Exercise Dataset by Automaton AI .

How can I get Entertainment Data?

You can get Entertainment Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Entertainment Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Entertainment Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Entertainment Data?

Entertainment Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Geospatial Data. These data categories are commonly used for Analytics and Entertainment Data analytics.

What are the most common use cases for Entertainment Data?

The top use cases for Entertainment Data are Analytics.