- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
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
Connected TV Data | Broadcast Media & Entertainment Professionals Worldwide | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee
B2C US Digital Audience Data / 500MM Hems / 900MM+ Maids / 100MM HH IP / Monthly Updates / Cross-Channel Targeting
CTV (Connected TV) data - Segmented Audiences and Raw files
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top OTT (Over-the-Top) Data Providers & Companies
-
TVEyes
CoverageUSAUK+25Global video and audio intelligence for data-driven decision makersCoverage27 countriesLanguages30+Podcasts35,000+ -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
-
Datasys
CoverageUSAUK+129Datasys compiles one of the largest consumer and business data sets in the world. We use our expansive data and technology platforms to help companies more accurately target their ideal customers and provide intelligent marketing solutions.Scalelarge quantitiesAccurateconstantly updated & verified250M +Full consumer profiles -
VentiveIQ
CoverageUSAVentiveIQ developed an open and independent data platform focused on cookieless identity resolution, first-party data onboarding, and audience marketing. VentiveIQ makes it simple for customers to integrate data, and target groups, and evaluate results.CCPA, GDPRCompliant100%Opted-In1Billion+Anonymized
Main Attributes of OTT (Over-the-Top) Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 3 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 2 datasets | |
| Text | A description of a company. | View 1 datasets | |
| String | The domain name of a company website. Potential ID to match company records. | View 1 datasets | |
| String | The approx. number of employees working for a company. | View 1 datasets | |
| String | The industry classification of a company. | View 1 datasets |
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
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.
