What is OTT Data?
OTT data refers to the data generated by Over-the-Top platforms, which are digital services that deliver content over the internet without the involvement of traditional service providers. Examples of OTT data include streaming video viewership, user engagement metrics, and demographic information. OTT databases are used for various purposes such as audience analysis, content personalization, and targeted advertising. In this page, you’ll find the best data sources for OTT data.
Best OTT (Over-the-Top) Datasets & APIs
OTT (Over-the-Top) Data, Entertainment data, Music Data, Movie Data, IMDB Reviews & Rating Data | Scrape all Publicly available Entertainment Data
OTT /CTV DATA ( DEVICE GRAPH AND VIEWERSHIP GRAPH) / US AND INTL /600MILLIION+ MONNTHLY
Above Data - International Streaming Media | 180M+ HHs | 25M+ streams/day | 85% coverage outside of the US
TVEyes API Broadcast Feed To Access TV, Radio & Podcast Data
Broadcast Transcript Feed with Sentiment Analysis (GBTS)
Fully Tagged Global Broadcast Transcript / Text Feed (GBTF)
Monetize data on Datarade Marketplace
OTT (Over-the-Top) Data Explained
How is OTT Data collected?
As the idea of over-the-top (OTT) entertainment and applications include a whole range of different websites and platforms, there is a wealth of data that can be collected.
Web scrapers and tools like cookies can be used to measure audience viewer levels and TV show popularity when streamed on an over-the-top (OTT) service. These tools can also track web traffic to see how many people are visiting and using these sites and can also be used to track users’ interests and online habits.
It can also tell you about the over-the-top (OTT) provider itself by collecting information such as the number of subscribers and the content that is available on the site.
What are the attributes of OTT Data?
Typically, an over-the-top (OTT) dataset will provide different types of information.
Consumer information - This is information about the user who is using these over-the-top (OTT) services. This can include information about their online preferences as well as their viewing or calling habits. It may also be more detailed information about the users themselves, such as their age, race or gender as well as details such as their location.
Provider information - This includes data and intelligence about the over-the-top (OTT) provider itself. Normally, this will include information about the service, such as the number of users over a certain period of time or the popularity of specific programmes or films if it is a streaming service.
What is OTT Data used for?
Any over-the-top (OTT) service provider will rely on this data to give a breakdown of their consumers’ use of their service and to evaluate how their business is doing in comparison to other competitors, especially with the growth of the over-the-top (OTT) platform.
Traditional broadcasters may also use this information to evaluate the performance of their broadcasting in comparison to over-the-top (OTT) entertainment providers.
Essentially, this data can be used to measure people’s consumption of over-the-top (OTT) services and goods and for marketing campaigns in order to increase the potential of these services for profit.
How can a user assess the quality of OTT Data?
A high quality over-the-top (OTT) dataset will provide comprehensive information about a range of different over-the-top (OTT) service providers which may be refined depending on the services which you are interested in. These datasets will provide information about the service providers as well as about the people who use these services and in a high quality over-the-top (OTT) dataset this information which be regularly and consistently updated to provide the latest and clearest insights.
You should always ask for a data sample before buying any over-the-top (OTT) datasets to ensure the data provided matches your business’ needs and always read the data provider’s reviews before you purchase to make sure their data is the highest quality possible.