The Ultimate Guide to Podcast Data 2021
What is Podcast Data?
Podcast data is a sub-category of entertainment data. It is data relating to publicly and currently-available podcasts. It includes data which covers the basic podcast information, such as podcast titles, podcast publishers and podcast categories, and there is also data which displays the activity and popularity of a podcast, relating to the number of episodes, frequency of episodes, date when the last episode was published, average number of listens per episode, and listener ratings. Data on podcast audiences also displays the demographic of podcast listeners.
How is Podcast Data collected?
Podcast data is collected from podcast platforms such as iTunes Apple Podcasts, Spotify, Google Podcast and Soundcloud, using particular podcast data measurement technology made up of specific code for podcast analysis. Basic podcast data of names, publishers and categories are collected from initial web or platform pages, and data relating to the activity and popularity of a podcast is collected from the sources of podcast traffic and downloads.
What are the attributes of Podcast Data?
Podcast data consists of many different types of data points. Podcast titles, podcast publishers or artists, podcast descriptions and podcast categories are all simple word data. Podcast-related emails and URLs come in the form of links, while podcast thumbnails and artworks come in the form of multimedia. Data displaying podcast analytics, involving the popularity and activity of podcasts, is often data in number form, such as the number of episodes, the average number of listeners, the number of ratings, and the average rating value. Podcast data can be expressed in Excel or using charts, depending on the nature of the data.
What is Podcast Data used for?
Advertisers, marketers and sponsors require podcast data in order to make good business decisions concerning advertising and sponsorship opportunities, ensuring they are reaching enough of the right type of audience. Publishers and artists also use podcast data to analyse and evaluate their content and success with a view to making improvements.
How can a user assess the quality of Podcast Data?
The best podcast data providers will have certifications to show that their data is high-quality, and they will be able to explain the verification procedures they carry out to ensure data accuracy. They will also be updating their datasets regularly, and you should be able to find good reviews from clients of the best podcast data providers. Lastly, ask for a data sample before you buy from a podcast provider to ensure that their podcast data is of the quality that your business needs.
Who are the best Podcast Data providers?
Finding the right Podcast Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Podcast Data providers that you might want to buy Podcast Data from are Picasso, Podtrac, Listen Notes, Chartable, and Podchaser.
Where can I buy Podcast Data?
Data providers and vendors listed on Datarade sell Podcast Data products and samples. Popular Podcast Data products and datasets available on our platform are Picasso Podcast Data: Podcast Metadata for Apple iTunes (1.2M+ global podcasts) by Picasso, Picasso Podcast Data: Transcriptions of All Popular Podcasts (5K+ Podcasts) by Picasso, and Picasso Podcast Data: Podcast Advertiser History + Estimated Podcast Ad Spend by Brand by Picasso.
How can I get Podcast Data?
You can get Podcast Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Podcast 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 Podcast Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Podcast Data?
Podcast Data is similar to TV Viewership Data, Event Data, Streaming Data, Sports Data, and Odds & Betting Data. These data categories are commonly used for Content Optimization and Podcast Data analytics.