What is OTT Data? Over the Top Data Uses, Types & Datasets
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) Databases & Datasets
Here is our curated selection of top OTT (Over-the-Top) Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
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
Datasys CTV Viewership Analytics: Unlock Insights, Drive Engagement
Mediasmart Connected TV viewership data Europe
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.
Frequently Asked Questions
Where Can I Buy OTT (Over-the-Top) Data?
You can explore our data marketplace to find a variety of OTT (Over-the-Top) Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of OTT (Over-the-Top) Data Maintained?
The quality of OTT (Over-the-Top) Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is OTT (Over-the-Top) Data Updated?
The update frequency for OTT (Over-the-Top) Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is OTT (Over-the-Top) Data Secure?
The security of OTT (Over-the-Top) Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is OTT (Over-the-Top) Data Delivered?
OTT (Over-the-Top) Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for OTT (Over-the-Top) Data.
How Much Does OTT (Over-the-Top) Data Cost?
The cost of OTT (Over-the-Top) Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of OTT (Over-the-Top) Data for your needs.
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