How are leading Video On-Demand providers promoting content in-app? How are the titles changing and how do titles and genres compare across providers? This dashboard with visualization lets you compare specific TV & movie titles by featured title categories as defined by providers, i.e. “Trending Now,” ‘Popular on x,” “Worth the Wait,” “Top 10 in the US Today,” etc. See how featured title names change compared to previous month and breakdowns such as series or non-series, genre, and original vs. non-original. This dashboard, updated monthly, covers the following on-demand providers in the US: Netflix, Amazon, Discovery+, Disney+, HBO Max, Hulu, Peacock, Pluto TV, and Tubi. Starting from the March 2022 data, UK titles data have been added to the dashboard, with the following on-demand providers: Netflix, Disney+, Amazon, BritBox, and Now TV.
The Analyst Team

Tim Westcott
Senior Principal Analyst, Digital Content & Channels
Tim leads Omdia’s research on TV and video programming and channel distribution. The core datasets in the Digital Content and Channels Intelligence service track investments in programming by channels and online video platforms, availability of linear channels and on-demand services, and sports and movie rights. The service also tracks the offerings of on-demand providers in the US and six key international markets.
Tim joined Omdia’s predecessor company Screen Digest in 2004, where his areas of focus included TV production, animation, sports rights, and public broadcasting. He has also edited more than 100 editions of the monthly Media and Technology Digest (formerly Screen Digest). Before that, Tim worked at the European Audiovisual Observatory in Strasbourg, France, and in a variety of journalism roles, including the Financial Times Group, EMAP (now Ascential), and Television Business International. Tim holds a Master of Arts (Hons.) degree in English literature from Trinity College, Cambridge. He holds dual UK and French nationality and is based in London.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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